Fix R2 bucket name: voicebox (not voicebox-releases)

Integrate Cloudflare R2 for CUDA binary hosting
- Update CI workflow to upload CUDA binary to R2 instead of GitHub - Use custom domain: downloads.voicebox.sh - Update release notes with R2 download link - Add R2 setup documentation with GitHub secrets instructions - Add local test script for R2 uploads - Fixes GitHub 2GB release asset limit issue Required GitHub secrets: - R2_ACCESS_KEY_ID - R2_SECRET_ACCESS_KEY - R2_ENDPOINT Cost: ~$0.04/month (free bandwidth with R2)
2026-09-26 13:45:16 -07:00 · 2026-01-31 00:47:18 -08:00 · 2026-01-31 00:46:50 -08:00 · 2026-01-31 00:40:52 -08:00 · 2026-01-31 00:36:03 -08:00 · 2026-01-30 23:37:29 -08:00
317 changed files with 12336 additions and 24656 deletions
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.2.3
+current_version = 0.1.12
 commit = True
 tag = True
 tag_name = v{new_version}
@@ -1,46 +0,0 @@
-# Version control
-.git
-.github
-.gitignore
-
-# Desktop-only (not needed in web container)
-tauri/
-landing/
-docs/
-mlx-test/
-scripts/
-
-# Dependencies & build artifacts (rebuilt in Docker)
-node_modules/
-__pycache__/
-*.pyc
-*.pyo
-*.egg-info/
-dist/
-build/
-*.spec
-
-# Data (will be bind-mounted)
-data/
-backend/data/
-
-# IDE & OS
-.vscode/
-.idea/
-*.swp
-*.swo
-.DS_Store
-Thumbs.db
-
-# Config files not needed in container
-biome.json
-.biomeignore
-.bumpversion.cfg
-.npmrc
-Makefile
-CHANGELOG.md
-CONTRIBUTING.md
-SECURITY.md
-LICENSE
-README.md
-backend/README.md
@@ -1,63 +0,0 @@
-name: Build Windows
-
-on:
-  workflow_dispatch:
-
-jobs:
-  build-windows:
-    permissions:
-      contents: write
-    runs-on: windows-latest
-
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Setup Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.12"
-          cache: "pip"
-
-      - name: Install Python dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install pyinstaller
-          pip install -r backend/requirements.txt
-
-      - name: Build Python server
-        shell: bash
-        run: |
-          cd backend
-          python build_binary.py
-
-          PLATFORM=$(rustc --print host-tuple)
-          mkdir -p ../tauri/src-tauri/binaries
-          cp dist/voicebox-server.exe ../tauri/src-tauri/binaries/voicebox-server-${PLATFORM}.exe
-          echo "Built voicebox-server-${PLATFORM}.exe"
-
-      - name: Setup Bun
-        uses: oven-sh/setup-bun@v2
-
-      - name: Install Rust stable
-        uses: dtolnay/rust-toolchain@stable
-
-      - name: Rust cache
-        uses: swatinem/rust-cache@v2
-        with:
-          workspaces: "./tauri/src-tauri -> target"
-
-      - name: Install dependencies
-        run: bun install
-
-      - uses: tauri-apps/tauri-action@v0
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        with:
-          projectPath: tauri
-          tagName: v__VERSION__
-          releaseName: "voicebox v__VERSION__ (test build)"
-          releaseBody: "Test build for audio export fix"
-          releaseDraft: true
-          prerelease: true
-          args: ""
-          includeUpdaterJson: false
@@ -4,7 +4,7 @@ on:
  workflow_dispatch:
  push:
    tags:
-      - "v*"
+      - 'v*'

 jobs:
  release:
@@ -14,18 +14,22 @@ jobs:
      fail-fast: false
      matrix:
        include:
-          - platform: "macos-latest"
-            args: "--target aarch64-apple-darwin"
-            python-version: "3.12"
-            backend: "mlx"
-          - platform: "macos-15-intel"
-            args: "--target x86_64-apple-darwin"
-            python-version: "3.12"
-            backend: "pytorch"
-          - platform: "windows-latest"
-            args: ""
-            python-version: "3.12"
-            backend: "pytorch"
+          - platform: 'macos-latest'
+            args: '--target aarch64-apple-darwin'
+            python-version: '3.12'
+            backend: 'mlx'
+          - platform: 'macos-15-intel'
+            args: '--target x86_64-apple-darwin'
+            python-version: '3.12'
+            backend: 'pytorch'
+          # - platform: 'ubuntu-22.04'
+          #   args: ''
+          #   python-version: '3.12'
+          #   backend: 'pytorch'
+          - platform: 'windows-latest'
+            args: ''
+            python-version: '3.12'
+            backend: 'pytorch'

    runs-on: ${{ matrix.platform }}

@@ -33,10 +37,10 @@ jobs:
      - uses: actions/checkout@v4

      - name: Install dependencies (ubuntu only)
-        if: contains(matrix.platform, 'ubuntu') || contains(matrix.platform, 'namespace')
+        if: matrix.platform == 'ubuntu-22.04'
        run: |
          sudo apt-get update
-          sudo apt-get install -y libwebkit2gtk-4.1-dev libappindicator3-dev librsvg2-dev patchelf llvm-dev libasound2-dev
+          sudo apt-get install -y libwebkit2gtk-4.1-dev libappindicator3-dev librsvg2-dev patchelf llvm-dev

      - name: Install LLVM (macOS)
        if: matrix.platform == 'macos-latest' || matrix.platform == 'macos-15-intel'
@@ -49,19 +53,13 @@ jobs:
        uses: actions/setup-python@v5
        with:
          python-version: ${{ matrix.python-version }}
-          cache: "pip"
-
-      - name: Install CPU-only PyTorch (Linux)
-        if: contains(matrix.platform, 'ubuntu') || contains(matrix.platform, 'namespace')
-        run: |
-          pip install torch torchaudio --index-url https://download.pytorch.org/whl/cpu
+          cache: 'pip'

      - name: Install Python dependencies
        run: |
          python -m pip install --upgrade pip
          pip install pyinstaller
          pip install -r backend/requirements.txt
-          pip install --no-deps chatterbox-tts

      - name: Install MLX dependencies (Apple Silicon only)
        if: matrix.backend == 'mlx'
@@ -74,12 +72,18 @@ jobs:
          chmod +x scripts/build-server.sh
          ./scripts/build-server.sh

-      - name: Build Python server (Windows)
+      - name: Build CPU Python server (Windows)
        if: matrix.platform == 'windows-latest'
        shell: bash
        run: |
          cd backend
-          python build_binary.py
+
+          echo "Installing CPU-only PyTorch..."
+          pip uninstall -y torch torchvision torchaudio
+          pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
+
+          echo "Building CPU server binary..."
+          python build_binary.py cpu

          # Get platform tuple
          PLATFORM=$(rustc --print host-tuple)
@@ -87,9 +91,31 @@ jobs:
          # Create binaries directory
          mkdir -p ../tauri/src-tauri/binaries

-          # Copy with platform suffix
+          # Copy CPU version (default for installer)
          cp dist/voicebox-server.exe ../tauri/src-tauri/binaries/voicebox-server-${PLATFORM}.exe
-          echo "Built voicebox-server-${PLATFORM}.exe"
+          echo "Built CPU server: voicebox-server-${PLATFORM}.exe (~500MB)"
+
+      - name: Build CUDA Python server (Windows)
+        if: matrix.platform == 'windows-latest'
+        shell: bash
+        run: |
+          cd backend
+
+          echo "Installing CUDA PyTorch..."
+          pip uninstall -y torch torchvision torchaudio
+          pip install torch --index-url https://download.pytorch.org/whl/cu121 --force-reinstall --no-deps
+          pip install torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+
+          echo "Building CUDA server binary..."
+          python build_binary.py cuda
+
+          # Get platform tuple
+          PLATFORM=$(rustc --print host-tuple)
+
+          # Copy CUDA version for separate upload
+          mkdir -p cuda-release
+          cp dist/voicebox-server-cuda.exe cuda-release/voicebox-server-cuda-${PLATFORM}.exe
+          echo "Built CUDA server: voicebox-server-cuda-${PLATFORM}.exe (~3GB)"

      - name: Setup Bun
        uses: oven-sh/setup-bun@v2
@@ -102,7 +128,7 @@ jobs:
      - name: Rust cache
        uses: swatinem/rust-cache@v2
        with:
-          workspaces: "./tauri/src-tauri -> target"
+          workspaces: './tauri/src-tauri -> target'

      - name: Install dependencies
        run: bun install
@@ -123,7 +149,7 @@ jobs:
          p12-file-base64: ${{ secrets.APPLE_CERTIFICATE }}
          p12-password: ${{ secrets.APPLE_CERTIFICATE_PASSWORD }}

-      - uses: tauri-apps/tauri-action@v0.6
+      - uses: tauri-apps/tauri-action@v0
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          TAURI_SIGNING_PRIVATE_KEY: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY }}
@@ -138,7 +164,7 @@ jobs:
        with:
          projectPath: tauri
          tagName: v__VERSION__
-          releaseName: "voicebox v__VERSION__"
+          releaseName: 'voicebox v__VERSION__'
          releaseBody: |
            ## What's Changed
            See the assets below to download and install this version.
@@ -146,8 +172,14 @@ jobs:
            ### Installation
            - **macOS (Apple Silicon)**: Download the `aarch64.dmg` file - uses MLX for fast native inference
            - **macOS (Intel)**: Download the `x64.dmg` file - uses PyTorch
-            - **Windows**: Download the `.msi` installer
-            - **Linux**: Compile from source (see README)
+            - **Windows**: Download the `.msi` installer - includes CPU-only inference (~500MB)
+            - **Linux**: Download the `.AppImage` or `.deb` package
+
+            ### NVIDIA GPU Acceleration (Windows)
+            Windows users with NVIDIA GPUs can enable CUDA for 4-5x faster inference:
+            1. Install the app normally (CPU version included in installer)
+            2. The app will detect your GPU and offer to download CUDA support automatically
+            3. Or manually download: [voicebox-server-cuda-x86_64-pc-windows-msvc.exe](https://downloads.voicebox.sh/cuda/__VERSION__/voicebox-server-cuda-x86_64-pc-windows-msvc.exe) (~2.4GB)

            The app includes automatic updates - future updates will be installed automatically.
          releaseDraft: true
@@ -155,63 +187,26 @@ jobs:
          args: ${{ matrix.args }}
          includeUpdaterJson: true

-  build-cuda-windows:
-    runs-on: windows-latest
-    permissions:
-      contents: write
-
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Setup Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.12"
-          cache: "pip"
-
-      - name: Install Python dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install pyinstaller
-          pip install -r backend/requirements.txt
-          pip install --no-deps chatterbox-tts
-
-      - name: Install PyTorch with CUDA 12.1
-        run: |
-          pip install torch --index-url https://download.pytorch.org/whl/cu121 --force-reinstall --no-deps
-          pip install torchaudio --index-url https://download.pytorch.org/whl/cu121
-
-      - name: Verify CUDA support in torch
-        run: |
-          python -c "import torch; print(f'CUDA available in build: {torch.cuda.is_available()}'); print(f'CUDA version: {torch.version.cuda}')"
-
-      - name: Build CUDA server binary
-        shell: bash
-        working-directory: backend
-        run: python build_binary.py --cuda
-
-      - name: Split binary for GitHub Releases
-        shell: bash
-        run: |
-          python scripts/split_binary.py \
-            backend/dist/voicebox-server-cuda.exe \
-            --output release-assets/
-
-      - name: Upload split parts to GitHub Release
-        if: startsWith(github.ref, 'refs/tags/')
-        uses: softprops/action-gh-release@v1
-        with:
-          files: |
-            release-assets/voicebox-server-cuda.part*.exe
-            release-assets/voicebox-server-cuda.sha256
-            release-assets/voicebox-server-cuda.manifest
-          draft: true
+      - name: Upload CUDA server to Cloudflare R2 (Windows only)
+        if: matrix.platform == 'windows-latest'
        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          AWS_ACCESS_KEY_ID: ${{ secrets.R2_ACCESS_KEY_ID }}
+          AWS_SECRET_ACCESS_KEY: ${{ secrets.R2_SECRET_ACCESS_KEY }}
+          R2_ENDPOINT: ${{ secrets.R2_ENDPOINT }}
+        run: |
+          # Install AWS CLI if not available
+          pip install awscli

-      - name: Upload binary as workflow artifact
-        uses: actions/upload-artifact@v4
-        with:
-          name: voicebox-server-cuda-windows
-          path: backend/dist/voicebox-server-cuda.exe
-          retention-days: 7
+          # Get version from tag
+          VERSION=${GITHUB_REF#refs/tags/}
+
+          # Get platform tuple
+          PLATFORM=$(rustc --print host-tuple)
+
+          # Upload to R2
+          aws s3 cp backend/cuda-release/voicebox-server-cuda-${PLATFORM}.exe \
+            s3://voicebox/cuda/${VERSION}/voicebox-server-cuda-${PLATFORM}.exe \
+            --endpoint-url $R2_ENDPOINT \
+            --acl public-read
+
+          echo "CUDA binary uploaded to: https://downloads.voicebox.sh/cuda/${VERSION}/voicebox-server-cuda-${PLATFORM}.exe"
@@ -35,7 +35,10 @@ target/
 Thumbs.db

 # Data (user-generated)
-data/
+data/profiles/*
+data/generations/*
+data/projects/*
+data/voicebox.db
 !data/.gitkeep

 # Logs
@@ -49,7 +52,6 @@ logs/
 # Generated files
 app/openapi.json
 tauri/src-tauri/binaries/*
-tauri/src-tauri/gen/Assets.car

 # Temporary
 tmp/
@@ -5,14 +5,6 @@ All notable changes to Voicebox will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

-## [Unreleased]
-
-### Fixed
- **Profile Name Validation** - Added proper validation to prevent duplicate profile names ([#134](https://github.com/jamiepine/voicebox/issues/134))
-  - Users now receive clear error messages when attempting to create or update profiles with duplicate names
-  - Improved error handling in create and update profile API endpoints
-  - Added comprehensive test suite for duplicate name validation
-
 ## [0.1.0] - 2026-01-25

 ### Added
@@ -61,21 +53,15 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

 ## [Unreleased]

-### Fixed
- Audio export failing when Tauri save dialog returns object instead of string path
- OpenAPI client generator script now documents the local backend port and avoids an unused loop variable warning
-
 ### Added
- **justfile** - Comprehensive development workflow automation with commands for setup, development, building, testing, and code quality checks
-  - Cross-platform support (macOS, Linux, Windows)
-  - Python version detection and compatibility warnings
-  - Self-documenting help system with `just --list`
+- **Makefile** - Comprehensive development workflow automation with commands for setup, development, building, testing, and code quality checks
+  - Includes Python version detection and compatibility warnings
+  - Self-documenting help system with `make help`
+  - Colored output for better readability
+  - Supports parallel development server execution

 ### Changed
- **README** - Updated Quick Start with justfile-based setup instructions
-
-### Removed
- **Makefile** - Replaced by justfile (cross-platform, simpler syntax)
+- **README** - Added Makefile reference and updated Quick Start with Makefile-based setup instructions alongside manual setup

 ---

@@ -27,47 +27,87 @@ Thank you for your interest in contributing to Voicebox! This document provides
  ```bash
  rustc --version  # Check if installed
  ```
- **[Tauri Prerequisites](https://v2.tauri.app/start/prerequisites)** - Tauri-specific system dependencies (varies by OS).

 - **Git** - Version control

 ### Development Setup

-Install [just](https://github.com/casey/just) (`brew install just`, `cargo install just`, or `winget install Casey.Just`), then:
+**Using the Makefile (recommended for macOS/Linux):** Run `make setup` to install all dependencies, then `make dev` to start development servers. See `make help` for all available commands.

-```bash
-git clone https://github.com/YOUR_USERNAME/voicebox.git
-cd voicebox
+**Manual setup (required for Windows):**

-just setup   # creates venv, installs Python + JS deps
-just dev     # starts backend + desktop app
-```
+1. **Fork and clone the repository**
+   ```bash
+   git clone https://github.com/YOUR_USERNAME/voicebox.git
+   cd voicebox
+   ```

-`just setup` handles everything automatically, including:
- Creating a Python virtual environment
- Installing Python dependencies (with CUDA PyTorch on Windows if an NVIDIA GPU is detected)
- Installing MLX dependencies on Apple Silicon
- Installing JavaScript dependencies
+2. **Install JavaScript dependencies**
+   ```bash
+   bun install
+   ```
+   This installs dependencies for:
+   - `app/` - Shared React frontend
+   - `tauri/` - Tauri desktop wrapper
+   - `web/` - Web deployment wrapper

-`just dev` starts the backend and desktop app together. If a backend is already running (e.g. from `just dev-backend` in another terminal), it detects it and only starts the frontend.
+3. **Set up Python backend**
+   ```bash
+   cd backend
+   
+   # Create virtual environment
+   python -m venv venv
+   
+   # Activate virtual environment
+   source venv/bin/activate  # On macOS/Linux
+   # or
+   venv\Scripts\activate  # On Windows
+   
+   # Install Python dependencies
+   pip install -r requirements.txt
+   
+   # Install MLX dependencies (Apple Silicon only - for faster inference)
+   # On Apple Silicon, this enables native Metal acceleration
+   if [[ $(uname -m) == "arm64" ]]; then
+     pip install -r requirements-mlx.txt
+   fi
+   
+   # Install Qwen3-TTS (required for voice synthesis)
+   pip install git+https://github.com/QwenLM/Qwen3-TTS.git
+   ```

-Other useful commands:
+4. **Start development servers**

-```bash
-just dev-web       # backend + web app (no Tauri/Rust build)
-just dev-backend   # backend only
-just dev-frontend  # Tauri app only (backend must be running)
-just kill          # stop all dev processes
-just clean-all     # nuke everything and start fresh
-just --list        # see all available commands
-```
+   Development requires two terminals: one for the Python backend, one for the Tauri app.

-> **Note:** In dev mode, the app connects to a manually-started Python server.
-> The bundled server binary is only used in production builds.
+   **Terminal 1: Backend server** (start this first)
+   ```bash
+   cd backend
+   source venv/bin/activate  # Activate venv if not already active
+   bun run dev:server
+   # Or manually: uvicorn main:app --reload --port 17493
+   ```
+   Backend will be available at `http://localhost:17493`

-#### Windows Notes
+   **Terminal 2: Desktop app**
+   ```bash
+   bun run dev
+   ```
+   This will:
+   - Create a placeholder sidecar binary (for Tauri compilation)
+   - Start Vite dev server on port 5173
+   - Launch Tauri window pointing to localhost:5173
+   - Connect to the Python server you started in Terminal 1
+   - Enable hot reload

-The justfile works natively on Windows via PowerShell. No WSL or Git Bash required. On Windows with an NVIDIA GPU, `just setup` automatically installs CUDA-enabled PyTorch for GPU acceleration.
+   > **Note:** In dev mode, the app connects to your manually-started Python server.
+   > The bundled server binary is only used in production builds.
+
+   **Optional: Web app**
+   ```bash
+   bun run dev:web
+   ```
+   Web app will be available at `http://localhost:5174`

 ### Model Downloads

@@ -79,30 +119,25 @@ First-time usage will be slower due to model downloads, but subsequent runs will

 ### Building

-**Build production app:**
-
+**Build everything (recommended):**
 ```bash
-just build        # Build CPU server binary + Tauri installer
+bun run build
 ```
-
-On Windows, to build with CUDA support for local testing:
-
-```bash
-just build-local  # Build CPU + CUDA server binaries + Tauri installer
-```
-
-This builds the CPU sidecar (bundled with the app), the CUDA binary (placed in `%APPDATA%/com.voicebox.app/backends/` for runtime GPU switching), and the installable Tauri app.
+This automatically:
+1. Builds the Python server binary (`./scripts/build-server.sh`)
+2. Builds the Tauri desktop app (`cd tauri && bun run tauri build`)

 Creates platform-specific installers (`.dmg`, `.msi`, `.AppImage`) in `tauri/src-tauri/target/release/bundle/`.

-**Individual build targets:**
+**Note:** The build process detects your platform and includes the appropriate backend (MLX for Apple Silicon, PyTorch for others).

+**Build server binary only:**
 ```bash
-just build-server       # CPU server binary only
-just build-server-cuda  # CUDA server binary only (Windows)
-just build-tauri        # Tauri desktop app only
-just build-web          # Web app only
+bun run build:server
+# or
+./scripts/build-server.sh
 ```
+Creates platform-specific binary in `tauri/src-tauri/binaries/`

 **Building with local Qwen3-TTS development version:**

@@ -110,10 +145,17 @@ If you're actively developing or modifying the Qwen3-TTS library, set the `QWEN_

 ```bash
 export QWEN_TTS_PATH=~/path/to/your/Qwen3-TTS
-just build-server
+bun run build:server
 ```

-This makes PyInstaller use your local qwen-tts version instead of the pip-installed package.
+This makes PyInstaller use your local qwen-tts version instead of the pip-installed package. Useful when testing changes to the TTS library before they're published to PyPI or when using an editable install (`pip install -e`).
+
+**Build web app:**
+```bash
+cd web
+bun run build
+```
+Output in `web/dist/`

 ### Generate OpenAPI Client

@@ -365,7 +407,7 @@ See [docs/TROUBLESHOOTING.md](docs/TROUBLESHOOTING.md) for common issues and sol

 - **Backend won't start:** Check Python version (3.11+), ensure venv is activated, install dependencies
 - **Tauri build fails:** Ensure Rust is installed, clean build with `cd tauri/src-tauri && cargo clean`
- **OpenAPI client generation fails:** Ensure backend is running, check `curl http://localhost:17493/openapi.json`
+- **OpenAPI client generation fails:** Ensure backend is running, check `curl http://localhost:8000/openapi.json`

 ## Questions?

@@ -1,79 +0,0 @@
-# ============================================================
-# Voicebox — Local TTS Server with Web UI (CPU)
-# 3-stage build: Frontend → Python deps → Runtime
-# ============================================================
-
-# === Stage 1: Build frontend ===
-FROM oven/bun:1 AS frontend
-
-WORKDIR /build
-
-# Copy workspace config and frontend source
-COPY package.json bun.lock ./
-COPY app/ ./app/
-COPY web/ ./web/
-
-# Strip workspaces not needed for web build, and fix trailing comma
-RUN sed -i '/"tauri"/d; /"landing"/d' package.json && \
-    sed -i -z 's/,\n  ]/\n  ]/' package.json
-RUN bun install --no-save
-# Build frontend (skip tsc — upstream has pre-existing type errors)
-RUN cd web && bunx --bun vite build
-
-
-# === Stage 2: Build Python dependencies ===
-FROM python:3.11-slim AS backend-builder
-
-WORKDIR /build
-
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    git \
-    build-essential \
-    && rm -rf /var/lib/apt/lists/*
-
-COPY backend/requirements.txt .
-RUN pip install --no-cache-dir --prefix=/install -r requirements.txt
-RUN pip install --no-cache-dir --prefix=/install \
-    git+https://github.com/QwenLM/Qwen3-TTS.git
-
-
-# === Stage 3: Runtime ===
-FROM python:3.11-slim
-
-# Create non-root user for security
-RUN groupadd -r voicebox && \
-    useradd -r -g voicebox -m -s /bin/bash voicebox
-
-WORKDIR /app
-
-# Install only runtime system dependencies
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    ffmpeg \
-    curl \
-    && rm -rf /var/lib/apt/lists/*
-
-# Copy installed Python packages from builder stage
-COPY --from=backend-builder /install /usr/local
-
-# Copy backend application code
-COPY --chown=voicebox:voicebox backend/ /app/backend/
-
-# Copy built frontend from frontend stage
-COPY --from=frontend --chown=voicebox:voicebox /build/web/dist /app/frontend/
-
-# Create data directories owned by non-root user
-RUN mkdir -p /app/data/generations /app/data/profiles /app/data/cache \
-    && chown -R voicebox:voicebox /app/data
-
-# Switch to non-root user
-USER voicebox
-
-# Expose the API port
-EXPOSE 17493
-
-# Health check — auto-restart if the server hangs
-HEALTHCHECK --interval=30s --timeout=10s --retries=3 --start-period=60s \
-    CMD curl -f http://localhost:17493/health || exit 1
-
-# Start the FastAPI server
-CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "17493"]
@@ -0,0 +1,245 @@
+# Voicebox Makefile
+# Unix-only (macOS/Linux). Windows users should use WSL.
+
+SHELL := /bin/bash
+.DEFAULT_GOAL := help
+
+# Directories
+BACKEND_DIR := backend
+TAURI_DIR := tauri
+WEB_DIR := web
+APP_DIR := app
+
+# Python (prefer 3.12, fallback to 3.13, then python3)
+PYTHON := $(shell command -v python3.12 2>/dev/null || command -v python3.13 2>/dev/null || echo python3)
+VENV := $(CURDIR)/$(BACKEND_DIR)/venv
+VENV_BIN := $(VENV)/bin
+PIP := $(VENV_BIN)/pip
+PYTHON_VENV := $(VENV_BIN)/python
+
+# Colors for output
+BLUE := \033[0;34m
+GREEN := \033[0;32m
+YELLOW := \033[0;33m
+NC := \033[0m # No Color
+
+.PHONY: help
+help: ## Show this help message
+	@echo -e "$(BLUE)Voicebox$(NC) - Development Commands"
+	@echo ""
+	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | \
+		awk 'BEGIN {FS = ":.*?## "}; {printf "  $(GREEN)%-20s$(NC) %s\n", $$1, $$2}'
+
+# =============================================================================
+# SETUP
+# =============================================================================
+
+.PHONY: setup setup-js setup-python setup-rust
+
+setup: setup-js setup-python ## Full project setup (all dependencies)
+	@echo -e "$(GREEN)✓ Setup complete!$(NC)"
+	@echo -e "  Run $(YELLOW)make dev$(NC) to start development servers"
+
+setup-js: ## Install JavaScript dependencies (bun)
+	@echo -e "$(BLUE)Installing JavaScript dependencies...$(NC)"
+	bun install
+
+setup-python: $(VENV)/bin/activate ## Set up Python virtual environment and dependencies
+	@echo -e "$(BLUE)Installing Python dependencies...$(NC)"
+	$(PIP) install --upgrade pip
+	$(PIP) install -r $(BACKEND_DIR)/requirements.txt
+	@if [ "$$(uname -m)" = "arm64" ] && [ "$$(uname)" = "Darwin" ]; then \
+		echo -e "$(BLUE)Detected Apple Silicon - installing MLX dependencies...$(NC)"; \
+		$(PIP) install -r $(BACKEND_DIR)/requirements-mlx.txt; \
+		echo -e "$(GREEN)✓ MLX backend enabled (native Metal acceleration)$(NC)"; \
+	fi
+	$(PIP) install git+https://github.com/QwenLM/Qwen3-TTS.git
+	@echo -e "$(GREEN)✓ Python environment ready$(NC)"
+
+$(VENV)/bin/activate:
+	@echo -e "$(BLUE)Creating Python virtual environment...$(NC)"
+	@PY_MINOR=$$($(PYTHON) -c "import sys; print(sys.version_info[1])"); \
+	if [ "$$PY_MINOR" -gt 13 ]; then \
+		echo -e "$(YELLOW)Warning: Python 3.$$PY_MINOR detected. ML packages may not be compatible.$(NC)"; \
+		echo -e "$(YELLOW)Recommended: Use Python 3.12 or 3.13 (brew install [email protected])$(NC)"; \
+	fi
+	$(PYTHON) -m venv $(VENV)
+
+setup-rust: ## Install Rust toolchain (if not present)
+	@command -v rustc >/dev/null 2>&1 || curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
+
+# =============================================================================
+# DEVELOPMENT
+# =============================================================================
+
+.PHONY: dev dev-backend dev-frontend dev-web kill-dev
+
+dev: ## Start backend + desktop app (parallel)
+	@echo -e "$(BLUE)Starting development servers...$(NC)"
+	@echo -e "$(YELLOW)Note: If Tauri fails, run 'make build-server' first or use separate terminals$(NC)"
+	@trap 'kill 0' EXIT; \
+		$(MAKE) dev-backend & \
+		sleep 2 && $(MAKE) dev-frontend & \
+		wait
+
+dev-backend: ## Start FastAPI backend server
+	@echo -e "$(BLUE)Starting backend server on http://localhost:17493$(NC)"
+	$(VENV_BIN)/uvicorn backend.main:app --reload --port 17493
+
+dev-frontend: ## Start Tauri desktop app
+	@echo -e "$(BLUE)Starting Tauri desktop app...$(NC)"
+	bun run dev
+
+dev-web: ## Start backend + web app (parallel)
+	@echo -e "$(BLUE)Starting web development servers...$(NC)"
+	@trap 'kill 0' EXIT; \
+		$(MAKE) dev-backend & \
+		sleep 2 && cd $(WEB_DIR) && bun run dev & \
+		wait
+
+kill-dev: ## Kill all development processes
+	@echo -e "$(YELLOW)Killing development processes...$(NC)"
+	-pkill -f "uvicorn main:app" 2>/dev/null || true
+	-pkill -f "vite" 2>/dev/null || true
+	@echo -e "$(GREEN)✓ Processes killed$(NC)"
+
+# =============================================================================
+# BUILD
+# =============================================================================
+
+.PHONY: build build-server build-tauri build-web
+
+build: build-server build-tauri ## Build everything (server binary + desktop app)
+	@echo -e "$(GREEN)✓ Build complete!$(NC)"
+
+build-server: ## Build Python server binary
+	@echo -e "$(BLUE)Building server binary...$(NC)"
+	PATH="$(VENV_BIN):$$PATH" ./scripts/build-server.sh
+
+build-tauri: ## Build Tauri desktop app
+	@echo -e "$(BLUE)Building Tauri desktop app...$(NC)"
+	cd $(TAURI_DIR) && bun run tauri build
+
+build-web: ## Build web app
+	@echo -e "$(BLUE)Building web app...$(NC)"
+	cd $(WEB_DIR) && bun run build
+	@echo -e "$(GREEN)✓ Web build output in $(WEB_DIR)/dist/$(NC)"
+
+# =============================================================================
+# DATABASE & API
+# =============================================================================
+
+.PHONY: db-init db-reset generate-api
+
+db-init: $(VENV)/bin/activate ## Initialize SQLite database
+	@echo -e "$(BLUE)Initializing database...$(NC)"
+	cd $(BACKEND_DIR) && $(PYTHON_VENV) -c "from database import init_db; init_db()"
+	@echo -e "$(GREEN)✓ Database created at $(BACKEND_DIR)/data/voicebox.db$(NC)"
+
+db-reset: ## Reset database (delete and reinitialize)
+	@echo -e "$(YELLOW)Resetting database...$(NC)"
+	rm -f $(BACKEND_DIR)/data/voicebox.db
+	$(MAKE) db-init
+
+generate-api: ## Generate TypeScript API client from OpenAPI schema
+	@echo -e "$(BLUE)Generating API client...$(NC)"
+	@echo -e "$(YELLOW)Note: Backend must be running (make dev-backend)$(NC)"
+	./scripts/generate-api.sh
+	@echo -e "$(GREEN)✓ API client generated in $(APP_DIR)/src/lib/api/$(NC)"
+
+# =============================================================================
+# CODE QUALITY
+# =============================================================================
+
+.PHONY: lint format typecheck check
+
+lint: ## Run linter (Biome)
+	@echo -e "$(BLUE)Linting...$(NC)"
+	bun run lint
+
+format: ## Format code (Biome)
+	@echo -e "$(BLUE)Formatting...$(NC)"
+	bun run format
+
+typecheck: ## Run TypeScript type checking
+	@echo -e "$(BLUE)Type checking...$(NC)"
+	bun run tsc --noEmit
+
+check: ## Run all checks (Biome lint + format + type check)
+	@echo -e "$(BLUE)Running all checks...$(NC)"
+	bun run check
+	@echo -e "$(GREEN)✓ All checks passed$(NC)"
+
+# =============================================================================
+# TESTING
+# =============================================================================
+
+.PHONY: test test-backend test-frontend
+
+test: test-backend test-frontend ## Run all tests
+	@echo -e "$(GREEN)✓ All tests passed$(NC)"
+
+test-backend: ## Run Python backend tests (requires pytest)
+	@echo -e "$(BLUE)Running backend tests...$(NC)"
+	@if [ -f "$(VENV_BIN)/pytest" ]; then \
+		cd $(BACKEND_DIR) && $(VENV_BIN)/pytest -v; \
+	else \
+		echo -e "$(YELLOW)pytest not installed. Run: $(PIP) install pytest$(NC)"; \
+		exit 1; \
+	fi
+
+test-frontend: ## Run frontend tests (requires test script in package.json)
+	@echo -e "$(BLUE)Running frontend tests...$(NC)"
+	@if bun run test --help >/dev/null 2>&1; then \
+		bun run test; \
+	else \
+		echo -e "$(YELLOW)No test script configured$(NC)"; \
+		exit 1; \
+	fi
+
+# =============================================================================
+# LOGS & DEBUGGING
+# =============================================================================
+
+.PHONY: logs docs
+
+logs: ## Tail backend logs
+	@echo -e "$(BLUE)Tailing logs (Ctrl+C to stop)...$(NC)"
+	tail -f $(BACKEND_DIR)/logs/*.log 2>/dev/null || echo "No log files found"
+
+docs: ## Open API documentation (backend must be running)
+	@echo -e "$(BLUE)Opening API docs...$(NC)"
+	open http://localhost:17493/docs 2>/dev/null || xdg-open http://localhost:17493/docs
+
+# =============================================================================
+# CLEAN
+# =============================================================================
+
+.PHONY: clean clean-python clean-build clean-all
+
+clean: ## Clean build artifacts
+	@echo -e "$(BLUE)Cleaning build artifacts...$(NC)"
+	rm -rf $(TAURI_DIR)/src-tauri/target/release
+	rm -rf $(WEB_DIR)/dist
+	rm -rf $(APP_DIR)/dist
+	@echo -e "$(GREEN)✓ Build artifacts cleaned$(NC)"
+
+clean-python: ## Clean Python cache and virtual environment
+	@echo -e "$(BLUE)Cleaning Python files...$(NC)"
+	rm -rf $(VENV)
+	find $(BACKEND_DIR) -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true
+	find $(BACKEND_DIR) -type f -name "*.pyc" -delete 2>/dev/null || true
+	@echo -e "$(GREEN)✓ Python environment cleaned$(NC)"
+
+clean-build: ## Clean Rust/Tauri build cache
+	@echo -e "$(BLUE)Cleaning Rust build cache...$(NC)"
+	cd $(TAURI_DIR)/src-tauri && cargo clean
+	@echo -e "$(GREEN)✓ Rust cache cleaned$(NC)"
+
+clean-all: clean clean-python clean-build ## Nuclear clean (everything)
+	@echo -e "$(BLUE)Cleaning node_modules...$(NC)"
+	rm -rf node_modules
+	rm -rf $(APP_DIR)/node_modules
+	rm -rf $(TAURI_DIR)/node_modules
+	rm -rf $(WEB_DIR)/node_modules
+	@echo -e "$(GREEN)✓ Full clean complete$(NC)"
@@ -1,58 +0,0 @@
-# Voicebox Offline Mode Fix
-
-## Problem
-Voicebox crashes when generating speech if HuggingFace is unreachable, even when models are fully cached locally.
-
-**Root Cause:**
- Voicebox downloads `mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16` (MLX optimized version)
- But `mlx_audio.tts.load()` tries to fetch `config.json` from original repo `Qwen/Qwen3-TTS-12Hz-1.7B-Base`
- This network request fails → server crashes with `RemoteDisconnected`
-
-**Related Issues:**
- Issue #150: "Internet connection required, even though models are downloaded?"
- Issue #151: "API Stability Issues: Model Loading Hangs and Server Crashes"
-
-## Solution
-Two-part fix:
-
-### 1. Monkey-patch huggingface_hub (`backend/utils/hf_offline_patch.py`)
- Intercepts cache lookup functions
- Forces offline mode early (before mlx_audio imports)
- Adds debug logging for cache hits/misses
-
-### 2. Symlink original repo to MLX version (`ensure_original_qwen_config_cached()`)
- When original `Qwen/Qwen3-TTS-12Hz-1.7B-Base` cache doesn't exist
- But MLX `mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16` does exist
- Creates a symlink so cache lookups succeed
-
-## Files Changed
- `backend/backends/mlx_backend.py` - Added patch imports at top
- `backend/utils/hf_offline_patch.py` - New patch module
-
-## Testing
-To test this fix:
-1. Build Voicebox from source: `just build`
-2. Disconnect from internet
-3. Try generating speech
-4. Should work without network requests
-
-## Build Instructions
-
-```bash
-# Install dependencies
-just setup
-
-# Build the app
-just build
-
-# Or build just the server
-just build-server
-```
-
-## Notes
- The patch is applied automatically when `mlx_backend.py` is imported
- Set `VOICEBOX_OFFLINE_PATCH=0` to disable the patch
- The symlink approach works because the config.json is compatible between versions
-
---
-*Patch contributed by community*
@@ -6,7 +6,7 @@

 <p align="center">
  <strong>The open-source voice synthesis studio.</strong><br/>
-  Clone voices. Generate speech. Apply effects. Build voice-powered apps.<br/>
+  Clone voices. Generate speech. Build voice-powered apps.<br/>
  All running locally on your machine.
 </p>

@@ -59,166 +59,118 @@

 ## What is Voicebox?

-Voicebox is a **local-first voice cloning studio** — a free and open-source alternative to ElevenLabs. Clone voices from a few seconds of audio, generate speech in 23 languages across 4 TTS engines, apply post-processing effects, and compose multi-voice projects with a timeline editor.
+Voicebox is a **local-first voice cloning studio** with DAW-like features for professional voice synthesis. Think of it as the **Ollama for voice** — download models, clone voices, and generate speech entirely on your machine.
+
+Unlike cloud services that lock your voice data behind subscriptions, Voicebox gives you:

 - **Complete privacy** — models and voice data stay on your machine
- **4 TTS engines** — Qwen3-TTS, LuxTTS, Chatterbox Multilingual, and Chatterbox Turbo
- **23 languages** — from English to Arabic, Japanese, Hindi, Swahili, and more
- **Post-processing effects** — pitch shift, reverb, delay, chorus, compression, and filters
- **Expressive speech** — paralinguistic tags like `[laugh]`, `[sigh]`, `[gasp]` via Chatterbox Turbo
- **Unlimited length** — auto-chunking with crossfade for scripts, articles, and chapters
- **Stories editor** — multi-track timeline for conversations, podcasts, and narratives
- **API-first** — REST API for integrating voice synthesis into your own projects
+- **Professional tools** — multi-track timeline editor, audio trimming, conversation mixing
+- **Model flexibility** — currently powered by Qwen3-TTS, with support for XTTS, Bark, and other models coming soon
+- **API-first** — use the desktop app or integrate voice synthesis into your own projects
 - **Native performance** — built with Tauri (Rust), not Electron
- **Runs everywhere** — macOS (MLX/Metal), Windows (CUDA), Linux, AMD ROCm, Intel Arc, Docker
+- **Super fast on Mac** — MLX backend with native Metal acceleration for 4-5x faster inference on Apple Silicon
+
+Download a voice model, clone any voice from a few seconds of audio, and compose multi-voice projects with studio-grade editing tools. No Python install required, no cloud dependency, no limits.

 ---

 ## Download

+Voicebox is available now for macOS and Windows.
+
 | Platform | Download |
 |----------|----------|
-| macOS (Apple Silicon) | [Download DMG](https://voicebox.sh/download/mac-arm) |
-| macOS (Intel) | [Download DMG](https://voicebox.sh/download/mac-intel) |
-| Windows | [Download MSI](https://voicebox.sh/download/windows) |
-| Docker | `docker compose up` |
+| macOS (Apple Silicon) | [voicebox_aarch64.app.tar.gz](https://github.com/jamiepine/voicebox/releases/download/v0.1.0/voicebox_aarch64.app.tar.gz) |
+| macOS (Intel) | [voicebox_x64.app.tar.gz](https://github.com/jamiepine/voicebox/releases/download/v0.1.0/voicebox_x64.app.tar.gz) |
+| Windows (MSI) | [voicebox_0.1.0_x64_en-US.msi](https://github.com/jamiepine/voicebox/releases/download/v0.1.0/voicebox_0.1.0_x64_en-US.msi) |
+| Windows (Setup) | [voicebox_0.1.0_x64-setup.exe](https://github.com/jamiepine/voicebox/releases/download/v0.1.0/voicebox_0.1.0_x64-setup.exe) |

-> **[View all binaries →](https://github.com/jamiepine/voicebox/releases/latest)**
-
-> **Linux** — Pre-built binaries are not yet available. See [voicebox.sh/linux-install](https://voicebox.sh/linux-install) for build-from-source instructions.
+> **Linux builds coming soon** — Currently blocked by GitHub runner disk space limitations.

 ---

 ## Features

-### Multi-Engine Voice Cloning
+### Voice Cloning with Qwen3-TTS

-Four TTS engines with different strengths, switchable per-generation:
+Powered by Alibaba's **Qwen3-TTS** — a breakthrough model that achieves near-perfect voice cloning from just a few seconds of audio.

-| Engine | Languages | Strengths |
-|--------|-----------|-----------|
-| **Qwen3-TTS** (0.6B / 1.7B) | 10 | High-quality multilingual cloning, delivery instructions ("speak slowly", "whisper") |
-| **LuxTTS** | English | Lightweight (~1GB VRAM), 48kHz output, 150x realtime on CPU |
-| **Chatterbox Multilingual** | 23 | Broadest language coverage — Arabic, Danish, Finnish, Greek, Hebrew, Hindi, Malay, Norwegian, Polish, Swahili, Swedish, Turkish and more |
-| **Chatterbox Turbo** | English | Fast 350M model with paralinguistic emotion/sound tags |
-
-### Emotions & Paralinguistic Tags
-
-Type `/` in the text input to insert expressive tags that the model synthesizes inline with speech (Chatterbox Turbo):
-
-`[laugh]` `[chuckle]` `[gasp]` `[cough]` `[sigh]` `[groan]` `[sniff]` `[shush]` `[clear throat]`
-
-### Post-Processing Effects
-
-8 audio effects powered by Spotify's `pedalboard` library. Apply after generation, preview in real time, build reusable presets.
-
-| Effect | Description |
-|--------|-------------|
-| Pitch Shift | Up or down by up to 12 semitones |
-| Reverb | Configurable room size, damping, wet/dry mix |
-| Delay | Echo with adjustable time, feedback, and mix |
-| Chorus / Flanger | Modulated delay for metallic or lush textures |
-| Compressor | Dynamic range compression |
-| Gain | Volume adjustment (-40 to +40 dB) |
-| High-Pass Filter | Remove low frequencies |
-| Low-Pass Filter | Remove high frequencies |
-
-Ships with 4 built-in presets (Robotic, Radio, Echo Chamber, Deep Voice) and supports custom presets. Effects can be assigned per-profile as defaults.
-
-### Unlimited Generation Length
-
-Text is automatically split at sentence boundaries and each chunk is generated independently, then crossfaded together. Works with all engines.
-
- Configurable auto-chunking limit (100–5,000 chars)
- Crossfade slider (0–200ms) for smooth transitions
- Max text length: 50,000 characters
- Smart splitting respects abbreviations, CJK punctuation, and `[tags]`
-
-### Generation Versions
-
-Every generation supports multiple versions with provenance tracking:
-
- **Original** — clean TTS output, always preserved
- **Effects versions** — apply different effects chains from any source version
- **Takes** — regenerate with a new seed for variation
- **Source tracking** — each version records its lineage
- **Favorites** — star generations for quick access
-
-### Async Generation Queue
-
-Generation is non-blocking. Submit and immediately start typing the next one.
-
- Serial execution queue prevents GPU contention
- Real-time SSE status streaming
- Failed generations can be retried
- Stale generations from crashes auto-recover on startup
+- **Instant cloning** — Upload a sample, get a voice profile
+- **High fidelity** — Natural prosody, emotion, and cadence
+- **Multi-language** — English, Chinese, and more coming
+- **Lightning fast on Mac** — MLX backend leverages Apple Silicon's Neural Engine for super fast generation

 ### Voice Profile Management

- Create profiles from audio files or record directly in-app
- Import/export profiles to share or back up
- Multi-sample support for higher quality cloning
- Per-profile default effects chains
- Organize with descriptions and language tags
+- **Create profiles** from audio files or record directly in-app
+- **Import/Export** profiles to share or backup
+- **Multi-sample support** — combine multiple samples for higher quality cloning
+- **Organize** with descriptions and language tags
+
+### Speech Generation
+
+- **Text-to-speech** with any cloned voice
+- **Batch generation** for long-form content
+- **Smart caching** — regenerate instantly with voice prompt caching

 ### Stories Editor

-Multi-voice timeline editor for conversations, podcasts, and narratives.
+Create multi-voice narratives, podcasts, and conversations with a timeline-based editor.

- Multi-track composition with drag-and-drop
- Inline audio trimming and splitting
- Auto-playback with synchronized playhead
- Version pinning per track clip
+- **Multi-track composition** — arrange multiple voice tracks in a single project
+- **Inline audio editing** — trim and split clips directly in the timeline
+- **Auto-playback** — preview stories with synchronized playhead
+- **Voice mixing** — build conversations with multiple participants

 ### Recording & Transcription

- In-app recording with waveform visualization
- System audio capture (macOS and Windows)
- Automatic transcription powered by Whisper (including Whisper Turbo)
- Export recordings in multiple formats
+- **In-app recording** with waveform visualization
+- **System audio capture** — record desktop audio on macOS and Windows
+- **Automatic transcription** powered by Whisper
+- **Export recordings** in multiple formats

-### Model Management
+### Generation History

- Per-model unload to free GPU memory without deleting downloads
- Custom models directory via `VOICEBOX_MODELS_DIR`
- Model folder migration with progress tracking
- Download cancel/clear UI
+- **Full history** of all generated audio
+- **Search & filter** by voice, text, or date
+- **Re-generate** any past generation with one click

-### GPU Support
+### Flexible Deployment

-| Platform | Backend | Notes |
-|----------|---------|-------|
-| macOS (Apple Silicon) | MLX (Metal) | 4-5x faster via Neural Engine |
-| Windows / Linux (NVIDIA) | PyTorch (CUDA) | Auto-downloads CUDA binary from within the app |
-| Linux (AMD) | PyTorch (ROCm) | Auto-configures HSA_OVERRIDE_GFX_VERSION |
-| Windows (any GPU) | DirectML | Universal Windows GPU support |
-| Intel Arc | IPEX/XPU | Intel discrete GPU acceleration |
-| Any | CPU | Works everywhere, just slower |
+- **Local mode** — Everything runs on your machine
+- **Remote mode** — Connect to a GPU server on your network
+- **One-click server** — Turn any machine into a Voicebox server

 ---

 ## API

-Voicebox exposes a full REST API for integrating voice synthesis into your own apps.
+Voicebox exposes a full REST API, so you can integrate voice synthesis into your own apps.

 ```bash
 # Generate speech
-curl -X POST http://localhost:17493/generate \
+curl -X POST http://localhost:8000/generate \
  -H "Content-Type: application/json" \
  -d '{"text": "Hello world", "profile_id": "abc123", "language": "en"}'

 # List voice profiles
-curl http://localhost:17493/profiles
+curl http://localhost:8000/profiles

 # Create a profile
-curl -X POST http://localhost:17493/profiles \
+curl -X POST http://localhost:8000/profiles \
  -H "Content-Type: application/json" \
  -d '{"name": "My Voice", "language": "en"}'
 ```

-**Use cases:** game dialogue, podcast production, accessibility tools, voice assistants, content automation.
+**Use cases:**

-Full API documentation available at `http://localhost:17493/docs`.
+- Game dialogue systems
+- Podcast/video production pipelines
+- Accessibility tools
+- Voice assistants
+- Content creation automation
+
+Full API documentation available at `http://localhost:8000/docs` when running.

 ---

@@ -230,24 +182,42 @@ Full API documentation available at `http://localhost:17493/docs`.
 | Frontend | React, TypeScript, Tailwind CSS |
 | State | Zustand, React Query |
 | Backend | FastAPI (Python) |
-| TTS Engines | Qwen3-TTS, LuxTTS, Chatterbox, Chatterbox Turbo |
-| Effects | Pedalboard (Spotify) |
-| Transcription | Whisper / Whisper Turbo (PyTorch or MLX) |
-| Inference | MLX (Apple Silicon) / PyTorch (CUDA/ROCm/XPU/CPU) |
+| Voice Model | Qwen3-TTS (PyTorch or MLX) |
+| Transcription | Whisper (PyTorch or MLX) |
+| Inference Engine | MLX (Apple Silicon) / PyTorch (Windows/Linux/Intel) |
 | Database | SQLite |
 | Audio | WaveSurfer.js, librosa |

+**Why this stack?**
+
+- **Tauri over Electron** — 10x smaller bundle, native performance, lower memory
+- **FastAPI** — Async Python with automatic OpenAPI schema generation
+- **Type-safe end-to-end** — Generated TypeScript client from OpenAPI spec
+
 ---

 ## Roadmap

+Voicebox is the beginning of something bigger. Here's what's coming:
+
+### Coming Soon
+
 | Feature | Description |
 |---------|-------------|
-| **Real-time Streaming** | Stream audio as it generates, word by word |
-| **Voice Design** | Create new voices from text descriptions |
+| **Real-time Synthesis** | Stream audio as it generates, word by word |
+| **Conversation Mode** | Multi-speaker dialogues with automatic turn-taking |
+| **Voice Effects** | Pitch shift, reverb, M3GAN-style effects |
+| **Timeline Editor** | Audio studio with word-level precision editing |
 | **More Models** | XTTS, Bark, and other open-source voice models |
-| **Plugin Architecture** | Extend with custom models and effects |
-| **Mobile Companion** | Control Voicebox from your phone |
+
+### Future Vision
+
+- **Voice Design** — Create new voices from text descriptions
+- **Project System** — Save and load complex multi-voice sessions
+- **Plugin Architecture** — Extend with custom models and effects
+- **Mobile Companion** — Control Voicebox from your phone
+
+Voicebox aims to be the **one-stop shop for everything voice** — cloning, synthesis, editing, effects, and beyond.

 ---

@@ -255,27 +225,47 @@ Full API documentation available at `http://localhost:17493/docs`.

 See [CONTRIBUTING.md](CONTRIBUTING.md) for detailed setup and contribution guidelines.

+**Using the Makefile (recommended):** Run `make help` to see all available commands for setup, development, building, and testing.
+
 ### Quick Start

+**With Makefile (Unix/macOS/Linux):**
+
 ```bash
-git clone https://github.com/jamiepine/voicebox.git
+# Clone the repo
+git clone https://github.com/voicebox-sh/voicebox.git
 cd voicebox

-just setup   # creates Python venv, installs all deps
-just dev     # starts backend + desktop app
+# Setup everything
+make setup
+
+# Start development
+make dev
 ```

-Install [just](https://github.com/casey/just): `brew install just` or `cargo install just`. Run `just --list` to see all commands.
-
-**Prerequisites:** [Bun](https://bun.sh), [Rust](https://rustup.rs), [Python 3.11+](https://python.org), [Tauri Prerequisites](https://v2.tauri.app/start/prerequisites/), and [Xcode](https://developer.apple.com/xcode/) on macOS.
-
-### Building Locally
+**Manual setup (all platforms):**

 ```bash
-just build          # Build CPU server binary + Tauri app
-just build-local    # (Windows) Build CPU + CUDA server binaries + Tauri app
+# Clone the repo
+git clone https://github.com/voicebox-sh/voicebox.git
+cd voicebox
+
+# Install dependencies
+bun install
+
+# Install Python dependencies
+cd backend && pip install -r requirements.txt && cd ..
+
+# Start development
+bun run dev
 ```

+**Prerequisites:** [Bun](https://bun.sh), [Rust](https://rustup.rs), [Python 3.11+](https://python.org). 
+
+**Performance:** 
+- **Apple Silicon (M1/M2/M3)**: Uses MLX backend with native Metal acceleration for 4-5x faster inference
+- **Windows/Linux/Intel Mac**: Uses PyTorch backend (CUDA GPU recommended, CPU supported but slower)
+
 ### Project Structure

 ```
@@ -1,6 +1,6 @@
 {
  "name": "@voicebox/app",
-  "version": "0.2.3",
+  "version": "0.1.12",
  "private": true,
  "type": "module",
  "scripts": {
@@ -93,12 +93,10 @@ function App() {
    }

    serverStartingRef.current = true;
-    const isRemote = useServerStore.getState().mode === 'remote';
-    const customModelsDir = useServerStore.getState().customModelsDir;
-    console.log(`Production mode: Starting bundled server... (remote: ${isRemote})`);
+    console.log('Production mode: Starting bundled server...');

    platform.lifecycle
-      .startServer(isRemote, customModelsDir)
+      .startServer(false)
      .then((serverUrl) => {
        console.log('Server is ready at:', serverUrl);
        // Update the server URL in the store with the dynamically assigned port
@@ -1,18 +1,17 @@
 import { useQuery } from '@tanstack/react-query';
 import { Pause, Play, Repeat, Volume2, VolumeX, X } from 'lucide-react';
-import { useEffect, useId, useMemo, useRef, useState } from 'react';
+import { useEffect, useMemo, useRef, useState } from 'react';
 import WaveSurfer from 'wavesurfer.js';
 import { Button } from '@/components/ui/button';
 import { Slider } from '@/components/ui/slider';
 import { apiClient } from '@/lib/api/client';
 import { formatAudioDuration } from '@/lib/utils/audio';
 import { debug } from '@/lib/utils/debug';
-import { usePlatform } from '@/platform/PlatformContext';
 import { usePlayerStore } from '@/stores/playerStore';
+import { usePlatform } from '@/platform/PlatformContext';

 export function AudioPlayer() {
  const platform = usePlatform();
-  const volumeLabelId = useId();
  const {
    audioUrl,
    audioId,
@@ -139,11 +138,7 @@ export function AudioPlayer() {
          barRadius: 2,
          height: 80,
          normalize: true,
-          // Use MediaElement backend (default). Unlike the WebAudio backend,
-          // MediaElement uses a standard <audio> element for playback which
-          // benefits from the browser/webview's built-in audio session recovery.
-          // This prevents audio loss when another app steals audio output or
-          // the system audio session is interrupted.
+          backend: 'WebAudio',
          interact: true, // Enable interaction (click to seek)
          mediaControls: false, // Don't show native controls
        });
@@ -161,21 +156,8 @@ export function AudioPlayer() {
      const wavesurfer = wavesurferRef.current;
      if (!wavesurfer) return;

-      // Update store when time changes, stop if past duration
+      // Update store when time changes
      wavesurfer.on('timeupdate', (time) => {
-        const dur = usePlayerStore.getState().duration;
-        if (dur > 0 && time >= dur) {
-          setCurrentTime(dur);
-          const loop = usePlayerStore.getState().isLooping;
-          if (loop) {
-            wavesurfer.seekTo(0);
-            wavesurfer.play();
-          } else {
-            wavesurfer.pause();
-            setIsPlaying(false);
-          }
-          return;
-        }
        setCurrentTime(time);
      });

@@ -193,6 +175,15 @@ export function AudioPlayer() {
        const currentVolume = usePlayerStore.getState().volume;
        wavesurfer.setVolume(currentVolume);

+        // Get the underlying audio element and ensure it's not muted
+        // (unless we're using native playback, which will be set later)
+        const mediaElement = wavesurfer.getMediaElement();
+        if (mediaElement && !isUsingNativePlaybackRef.current) {
+          mediaElement.volume = currentVolume;
+          mediaElement.muted = false;
+          debug.log('Audio element volume:', mediaElement.volume, 'muted:', mediaElement.muted);
+        }
+
        // Auto-play when ready - check if we should use native playback
        // Get current values from the store and queries at runtime (not captured closure values)
        const currentAudioUrl = usePlayerStore.getState().audioUrl;
@@ -259,8 +250,21 @@ export function AudioPlayer() {
            debug.log('Should use native playback:', shouldUseNative);

            if (!shouldUseNative) {
-              debug.log('No custom devices assigned, using standard playback');
+              debug.log('No custom devices assigned, falling back to WaveSurfer');
+              // Reset native playback flag and unmute WaveSurfer
              isUsingNativePlaybackRef.current = false;
+              const mediaElement = wavesurfer.getMediaElement();
+              if (mediaElement) {
+                const currentVolume = usePlayerStore.getState().volume;
+                mediaElement.volume = currentVolume;
+                mediaElement.muted = false;
+                debug.log(
+                  'WaveSurfer unmuted for normal playback - volume:',
+                  mediaElement.volume,
+                  'muted:',
+                  mediaElement.muted,
+                );
+              }
            } else {
              const deviceIds = assignedChannels.flatMap((ch: any) => ch.device_ids);
              debug.log('Device IDs to play to:', deviceIds);
@@ -281,10 +285,19 @@ export function AudioPlayer() {
                  // Mark that we're using native playback
                  isUsingNativePlaybackRef.current = true;

-                  // Mute WaveSurfer's audio output — native handles the actual sound
-                  // Keep WaveSurfer running for waveform visualization
-                  wavesurfer.setVolume(0);
-                  wavesurfer.setMuted(true);
+                  // Mute WaveSurfer's audio element to prevent UI audio output
+                  // Keep WaveSurfer running for visualization
+                  const mediaElement = wavesurfer.getMediaElement();
+                  if (mediaElement) {
+                    mediaElement.volume = 0;
+                    mediaElement.muted = true;
+                    debug.log(
+                      'WaveSurfer muted for native playback - volume:',
+                      mediaElement.volume,
+                      'muted:',
+                      mediaElement.muted,
+                    );
+                  }

                  // Start WaveSurfer playback for visualization (muted)
                  wavesurfer.play().catch((error) => {
@@ -307,15 +320,38 @@ export function AudioPlayer() {
              'Native playback failed during auto-play, falling back to WaveSurfer:',
              error,
            );
+            // Reset native playback flag and unmute WaveSurfer
            isUsingNativePlaybackRef.current = false;
+            const mediaElement = wavesurfer.getMediaElement();
+            if (mediaElement) {
+              const currentVolume = usePlayerStore.getState().volume;
+              mediaElement.volume = currentVolume;
+              mediaElement.muted = false;
+              debug.log(
+                'WaveSurfer unmuted after native playback failure - volume:',
+                mediaElement.volume,
+                'muted:',
+                mediaElement.muted,
+              );
+            }
            // Fall through to WaveSurfer playback
          }
-        }
-
-        // Standard playback path — ensure WaveSurfer is unmuted
-        if (!isUsingNativePlaybackRef.current) {
-          wavesurfer.setMuted(false);
-          wavesurfer.setVolume(usePlayerStore.getState().volume);
+        } else {
+          debug.log('Not using native playback, using WaveSurfer');
+          // Reset native playback flag and unmute WaveSurfer
+          isUsingNativePlaybackRef.current = false;
+          const mediaElement = wavesurfer.getMediaElement();
+          if (mediaElement) {
+            const currentVolume = usePlayerStore.getState().volume;
+            mediaElement.volume = currentVolume;
+            mediaElement.muted = false;
+            debug.log(
+              'WaveSurfer unmuted for normal playback - volume:',
+              mediaElement.volume,
+              'muted:',
+              mediaElement.muted,
+            );
+          }
        }

        // Only auto-play if shouldAutoPlay flag is set (user explicitly clicked to play)
@@ -323,7 +359,7 @@ export function AudioPlayer() {
        if (shouldAutoPlayNow) {
          // Clear the flag first
          usePlayerStore.getState().clearAutoPlayFlag();
-
+          
          // Use a small delay to ensure audio element is fully ready
          setTimeout(() => {
            wavesurfer.play().catch((error) => {
@@ -339,6 +375,28 @@ export function AudioPlayer() {
      // Handle play/pause
      wavesurfer.on('play', () => {
        setIsPlaying(true);
+        // Ensure audio element volume is set correctly
+        const mediaElement = wavesurfer.getMediaElement();
+        if (mediaElement) {
+          // Double-check: if using native playback, keep WaveSurfer muted
+          // Otherwise, ensure it's unmuted
+          if (isUsingNativePlaybackRef.current) {
+            mediaElement.volume = 0;
+            mediaElement.muted = true;
+            debug.log('Playing (native mode) - WaveSurfer muted for visualization only');
+          } else {
+            // Ensure WaveSurfer is unmuted for normal playback
+            const currentVolume = usePlayerStore.getState().volume;
+            mediaElement.volume = currentVolume;
+            mediaElement.muted = false;
+            debug.log(
+              'Playing (normal mode) - volume:',
+              mediaElement.volume,
+              'muted:',
+              mediaElement.muted,
+            );
+          }
+        }
      });
      wavesurfer.on('pause', () => setIsPlaying(false));
      wavesurfer.on('finish', () => {
@@ -420,6 +478,11 @@ export function AudioPlayer() {
      if (wavesurferRef.current) {
        debug.log('Destroying WaveSurfer instance');
        try {
+          const mediaElement = wavesurferRef.current.getMediaElement();
+          if (mediaElement) {
+            mediaElement.pause();
+            mediaElement.src = '';
+          }
          wavesurferRef.current.destroy();
        } catch (error) {
          debug.error('Error destroying WaveSurfer:', error);
@@ -460,10 +523,13 @@ export function AudioPlayer() {
    }

    // Reset native playback flag when loading new audio
-    // Unmute WaveSurfer if it was muted for native playback
+    // Also unmute WaveSurfer if it was muted
    if (isUsingNativePlaybackRef.current) {
-      wavesurfer.setMuted(false);
-      wavesurfer.setVolume(usePlayerStore.getState().volume);
+      const mediaElement = wavesurfer.getMediaElement();
+      if (mediaElement) {
+        mediaElement.muted = false;
+        mediaElement.volume = usePlayerStore.getState().volume;
+      }
    }
    isUsingNativePlaybackRef.current = false;

@@ -479,7 +545,16 @@ export function AudioPlayer() {
        wavesurfer.pause();
      }

-      // Use empty() to completely destroy the waveform and reset media
+      // Stop the media element explicitly
+      const mediaElement = wavesurfer.getMediaElement();
+      if (mediaElement) {
+        debug.log('Stopping media element');
+        mediaElement.pause();
+        mediaElement.currentTime = 0;
+        mediaElement.src = '';
+      }
+
+      // Use empty() to completely destroy the waveform and media element
      debug.log('Calling wavesurfer.empty() to destroy audio');
      wavesurfer.empty();
    } catch (error) {
@@ -534,13 +609,20 @@ export function AudioPlayer() {
  // Sync volume
  useEffect(() => {
    if (wavesurferRef.current) {
-      // If using native playback, keep WaveSurfer muted regardless of volume setting
-      if (isUsingNativePlaybackRef.current) {
-        wavesurferRef.current.setVolume(0);
-        debug.log('Volume sync: Using native playback, keeping WaveSurfer muted');
-      } else {
-        wavesurferRef.current.setVolume(volume);
-        debug.log('Volume synced:', volume);
+      wavesurferRef.current.setVolume(volume);
+      // Also ensure the underlying audio element volume is set
+      const mediaElement = wavesurferRef.current.getMediaElement();
+      if (mediaElement) {
+        // If using native playback, keep WaveSurfer muted regardless of volume setting
+        if (isUsingNativePlaybackRef.current) {
+          mediaElement.volume = 0;
+          mediaElement.muted = true;
+          debug.log('Volume sync: Using native playback, keeping WaveSurfer muted');
+        } else {
+          mediaElement.volume = volume;
+          mediaElement.muted = volume === 0;
+          debug.log('Volume synced:', volume, 'muted:', mediaElement.muted);
+        }
      }
    }
  }, [volume]);
@@ -582,7 +664,7 @@ export function AudioPlayer() {
  // Handle shouldAutoPlay flag - for story mode auto-advance
  const shouldAutoPlay = usePlayerStore((state) => state.shouldAutoPlay);
  const clearAutoPlayFlag = usePlayerStore((state) => state.clearAutoPlayFlag);
-
+  
  useEffect(() => {
    const wavesurfer = wavesurferRef.current;
    if (!wavesurfer || !shouldAutoPlay || duration === 0) {
@@ -661,8 +743,11 @@ export function AudioPlayer() {
          isUsingNativePlaybackRef.current = true;

          // Mute WaveSurfer and start it for visualization
-          wavesurferRef.current.setVolume(0);
-          wavesurferRef.current.setMuted(true);
+          const mediaElement = wavesurferRef.current.getMediaElement();
+          if (mediaElement) {
+            mediaElement.volume = 0;
+            mediaElement.muted = true;
+          }

          // Start WaveSurfer for visualization (muted)
          wavesurferRef.current.play().catch((error) => {
@@ -686,8 +771,11 @@ export function AudioPlayer() {
    } else {
      // Ensure WaveSurfer is not muted if not using native playback
      if (!isUsingNativePlaybackRef.current) {
-        wavesurferRef.current.setMuted(false);
-        wavesurferRef.current.setVolume(volume);
+        const mediaElement = wavesurferRef.current.getMediaElement();
+        if (mediaElement) {
+          mediaElement.muted = false;
+          mediaElement.volume = volume;
+        }
      }

      wavesurferRef.current.play().catch((error) => {
@@ -743,9 +831,6 @@ export function AudioPlayer() {
            disabled={isLoading || duration === 0}
            className="shrink-0"
            title={duration === 0 && !isLoading ? 'Audio not loaded' : ''}
-            aria-label={
-              duration === 0 && !isLoading ? 'Audio not loaded' : isPlaying ? 'Pause' : 'Play'
-            }
          >
            {isPlaying ? <Pause className="h-5 w-5" /> : <Play className="h-5 w-5" />}
          </Button>
@@ -760,8 +845,6 @@ export function AudioPlayer() {
                max={100}
                step={0.1}
                className="w-full"
-                aria-label="Playback position"
-                aria-valuetext={`${formatAudioDuration(currentTime)} of ${formatAudioDuration(duration)}`}
              />
            )}
            {isLoading && (
@@ -779,9 +862,7 @@ export function AudioPlayer() {

          {/* Title */}
          {title && (
-            <div className="text-sm font-medium truncate max-w-[200px] shrink-0 hidden lg:block">
-              {title}
-            </div>
+            <div className="text-sm font-medium truncate max-w-[200px] shrink-0">{title}</div>
          )}

          {/* Loop Button */}
@@ -791,37 +872,26 @@ export function AudioPlayer() {
            onClick={toggleLoop}
            className={isLooping ? 'text-primary' : ''}
            title="Toggle loop"
-            aria-label={isLooping ? 'Stop looping' : 'Loop'}
          >
            <Repeat className="h-4 w-4" />
          </Button>

          {/* Volume Control */}
-          <div
-            className="flex items-center gap-2 shrink-0 w-[120px]"
-            role="group"
-            aria-label="Volume"
-          >
+          <div className="flex items-center gap-2 shrink-0 w-[120px]">
            <Button
              variant="ghost"
              size="icon"
              onClick={() => setVolume(volume > 0 ? 0 : 1)}
              className="h-8 w-8"
-              aria-label={volume > 0 ? 'Mute' : 'Unmute'}
            >
              {volume > 0 ? <Volume2 className="h-4 w-4" /> : <VolumeX className="h-4 w-4" />}
            </Button>
-            <span id={volumeLabelId} className="sr-only">
-              Volume level, {Math.round(volume * 100)}%
-            </span>
            <Slider
              value={[volume * 100]}
              onValueChange={handleVolumeChange}
              max={100}
              step={1}
              className="flex-1"
-              aria-labelledby={volumeLabelId}
-              aria-valuetext={`${Math.round(volume * 100)}%`}
            />
          </div>

@@ -832,7 +902,6 @@ export function AudioPlayer() {
            onClick={handleClose}
            className="shrink-0"
            title="Close player"
-            aria-label="Close player"
          >
            <X className="h-5 w-5" />
          </Button>
@@ -23,8 +23,8 @@ import {
 import { apiClient } from '@/lib/api/client';
 import { BOTTOM_SAFE_AREA_PADDING } from '@/lib/constants/ui';
 import { cn } from '@/lib/utils/cn';
-import { usePlatform } from '@/platform/PlatformContext';
 import { usePlayerStore } from '@/stores/playerStore';
+import { usePlatform } from '@/platform/PlatformContext';

 interface AudioDevice {
  id: string;
@@ -124,13 +124,6 @@ export function AudioTab() {
    );
  }

-  const handleChannelDelete = async (e, channelId) => {
-    e.stopPropagation();
-    if (await confirm('Delete this channel?')) {
-      deleteChannel.mutate(channelId);
-    }
-  };
-
  const allChannels = channels || [];
  const allDevices = devices || [];
  const selectedChannel = selectedChannelId
@@ -168,7 +161,7 @@ export function AudioTab() {
              </Button>
            </div>
          ) : (
-            <div className="space-y-3">
+            <div className="space-y-3 p-2">
              {allChannels.map((channel) => {
                const isSelected = selectedChannelId === channel.id;
                return (
@@ -248,7 +241,12 @@ export function AudioTab() {
                            variant="ghost"
                            size="sm"
                            className="h-8 w-8 p-0"
-                            onClick={(e) => handleChannelDelete(e, channel.id)}
+                            onClick={(e) => {
+                              e.stopPropagation();
+                              if (confirm('Delete this channel?')) {
+                                deleteChannel.mutate(channel.id);
+                              }
+                            }}
                          >
                            <Trash2 className="h-4 w-4" />
                          </Button>
@@ -343,9 +341,7 @@ export function AudioTab() {
            <div className="flex flex-col items-center justify-center py-12 border-2 border-dashed border-muted rounded-md">
              <CheckCircle2 className="h-12 w-12 text-muted-foreground mb-4" />
              <p className="text-muted-foreground text-center">
-                {platform.metadata.isTauri
-                  ? 'No audio devices found'
-                  : 'Audio device selection requires Tauri'}
+                {platform.metadata.isTauri ? 'No audio devices found' : 'Audio device selection requires Tauri'}
              </p>
            </div>
          )}
@@ -1,377 +0,0 @@
-import {
-  closestCenter,
-  DndContext,
-  type DragEndEvent,
-  KeyboardSensor,
-  PointerSensor,
-  useSensor,
-  useSensors,
-} from '@dnd-kit/core';
-import {
-  arrayMove,
-  SortableContext,
-  sortableKeyboardCoordinates,
-  useSortable,
-  verticalListSortingStrategy,
-} from '@dnd-kit/sortable';
-import { CSS } from '@dnd-kit/utilities';
-import { useQuery } from '@tanstack/react-query';
-import { ChevronDown, ChevronRight, GripVertical, Plus, Power, Trash2 } from 'lucide-react';
-import { useCallback, useMemo, useRef, useState } from 'react';
-import { Button } from '@/components/ui/button';
-import { Label } from '@/components/ui/label';
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from '@/components/ui/select';
-import { Slider } from '@/components/ui/slider';
-import { apiClient } from '@/lib/api/client';
-import type { AvailableEffect, EffectConfig, EffectPresetResponse } from '@/lib/api/types';
-import { cn } from '@/lib/utils/cn';
-
-// Each effect in the chain gets a stable ID for dnd-kit
-interface EffectWithId extends EffectConfig {
-  _id: string;
-}
-
-let nextId = 0;
-function makeId() {
-  return `fx-${++nextId}`;
-}
-
-interface EffectsChainEditorProps {
-  value: EffectConfig[];
-  onChange: (chain: EffectConfig[]) => void;
-  compact?: boolean;
-  showPresets?: boolean;
-}
-
-export function EffectsChainEditor({
-  value,
-  onChange,
-  compact = false,
-  showPresets = true,
-}: EffectsChainEditorProps) {
-  const [expandedId, setExpandedId] = useState<string | null>(null);
-
-  // Maintain stable IDs for each effect across renders.
-  // We use a ref to map value items to IDs, rebuilding when length changes.
-  const idsRef = useRef<string[]>([]);
-  const items: EffectWithId[] = useMemo(() => {
-    // Grow ID array if effects were added
-    while (idsRef.current.length < value.length) {
-      idsRef.current.push(makeId());
-    }
-    // Shrink if effects were removed
-    if (idsRef.current.length > value.length) {
-      idsRef.current = idsRef.current.slice(0, value.length);
-    }
-    return value.map((e, i) => ({ ...e, _id: idsRef.current[i] }));
-  }, [value]);
-
-  const sensors = useSensors(
-    useSensor(PointerSensor, { activationConstraint: { distance: 5 } }),
-    useSensor(KeyboardSensor, { coordinateGetter: sortableKeyboardCoordinates }),
-  );
-
-  const { data: availableEffects } = useQuery({
-    queryKey: ['available-effects'],
-    queryFn: () => apiClient.getAvailableEffects(),
-    staleTime: Infinity,
-  });
-
-  const { data: presets } = useQuery({
-    queryKey: ['effect-presets'],
-    queryFn: () => apiClient.listEffectPresets(),
-    staleTime: 30_000,
-  });
-
-  const effectsMap = useMemo(() => {
-    const m = new Map<string, AvailableEffect>();
-    if (availableEffects) {
-      for (const e of availableEffects.effects) {
-        m.set(e.type, e);
-      }
-    }
-    return m;
-  }, [availableEffects]);
-
-  function addEffect(type: string) {
-    const def = effectsMap.get(type);
-    if (!def) return;
-    const params: Record<string, number> = {};
-    for (const [key, p] of Object.entries(def.params)) {
-      params[key] = p.default;
-    }
-    const newEffect: EffectConfig = { type, enabled: true, params };
-    const newId = makeId();
-    idsRef.current = [...idsRef.current, newId];
-    onChange([...value, newEffect]);
-    setExpandedId(newId);
-  }
-
-  const removeEffect = useCallback(
-    (index: number) => {
-      const removedId = idsRef.current[index];
-      idsRef.current = idsRef.current.filter((_, i) => i !== index);
-      onChange(value.filter((_, i) => i !== index));
-      if (expandedId === removedId) setExpandedId(null);
-    },
-    [value, onChange, expandedId],
-  );
-
-  const toggleEnabled = useCallback(
-    (index: number) => {
-      onChange(value.map((e, i) => (i === index ? { ...e, enabled: !e.enabled } : e)));
-    },
-    [value, onChange],
-  );
-
-  const updateParam = useCallback(
-    (index: number, paramName: string, paramValue: number) => {
-      onChange(
-        value.map((e, i) =>
-          i === index ? { ...e, params: { ...e.params, [paramName]: paramValue } } : e,
-        ),
-      );
-    },
-    [value, onChange],
-  );
-
-  function loadPreset(preset: EffectPresetResponse) {
-    idsRef.current = preset.effects_chain.map(() => makeId());
-    onChange(preset.effects_chain);
-    setExpandedId(null);
-  }
-
-  function clearAll() {
-    idsRef.current = [];
-    onChange([]);
-    setExpandedId(null);
-  }
-
-  function handleDragEnd(event: DragEndEvent) {
-    const { active, over } = event;
-    if (!over || active.id === over.id) return;
-
-    const oldIndex = idsRef.current.indexOf(active.id as string);
-    const newIndex = idsRef.current.indexOf(over.id as string);
-    if (oldIndex === -1 || newIndex === -1) return;
-
-    idsRef.current = arrayMove(idsRef.current, oldIndex, newIndex);
-    onChange(arrayMove([...value], oldIndex, newIndex));
-  }
-
-  return (
-    <div className={cn('space-y-2', compact && 'text-sm')}>
-      {/* Preset selector row */}
-      {showPresets && (
-        <div className="flex items-center gap-2">
-          <Select
-            onValueChange={(id) => {
-              const preset = presets?.find((p) => p.id === id);
-              if (preset) loadPreset(preset);
-            }}
-          >
-            <SelectTrigger className="h-8 flex-1 text-xs focus:ring-0 focus:ring-offset-0">
-              <SelectValue placeholder="Load preset..." />
-            </SelectTrigger>
-            <SelectContent>
-              {presets?.map((p) => (
-                <SelectItem key={p.id} value={p.id}>
-                  {p.name}
-                  {p.description && (
-                    <span className="ml-1 text-muted-foreground">- {p.description}</span>
-                  )}
-                </SelectItem>
-              ))}
-            </SelectContent>
-          </Select>
-
-          {value.length > 0 && (
-            <Button
-              variant="ghost"
-              size="sm"
-              className="h-8 px-2 text-xs text-muted-foreground"
-              onClick={clearAll}
-            >
-              Clear
-            </Button>
-          )}
-        </div>
-      )}
-
-      {/* Sortable effects chain */}
-      <DndContext sensors={sensors} collisionDetection={closestCenter} onDragEnd={handleDragEnd}>
-        <SortableContext items={items.map((i) => i._id)} strategy={verticalListSortingStrategy}>
-          {items.map((effect, index) => (
-            <SortableEffectItem
-              key={effect._id}
-              id={effect._id}
-              effect={effect}
-              index={index}
-              effectDef={effectsMap.get(effect.type)}
-              isExpanded={expandedId === effect._id}
-              onToggleExpand={() => setExpandedId(expandedId === effect._id ? null : effect._id)}
-              onRemove={() => removeEffect(index)}
-              onToggleEnabled={() => toggleEnabled(index)}
-              onUpdateParam={(paramName, paramValue) => updateParam(index, paramName, paramValue)}
-            />
-          ))}
-        </SortableContext>
-      </DndContext>
-
-      {/* Add effect */}
-      {availableEffects && (
-        <Select onValueChange={addEffect}>
-          <SelectTrigger className="h-8 border-dashed text-xs text-muted-foreground focus:ring-0 focus:ring-offset-0">
-            <Plus className="mr-1 h-3.5 w-3.5" />
-            <SelectValue placeholder="Add effect..." />
-          </SelectTrigger>
-          <SelectContent>
-            {availableEffects.effects.map((e) => (
-              <SelectItem key={e.type} value={e.type}>
-                {e.label}
-              </SelectItem>
-            ))}
-          </SelectContent>
-        </Select>
-      )}
-    </div>
-  );
-}
-
-// ---------------------------------------------------------------------------
-// Sortable effect item
-// ---------------------------------------------------------------------------
-
-interface SortableEffectItemProps {
-  id: string;
-  effect: EffectConfig;
-  index: number;
-  effectDef?: AvailableEffect;
-  isExpanded: boolean;
-  onToggleExpand: () => void;
-  onRemove: () => void;
-  onToggleEnabled: () => void;
-  onUpdateParam: (paramName: string, paramValue: number) => void;
-}
-
-function SortableEffectItem({
-  id,
-  effect,
-  effectDef,
-  isExpanded,
-  onToggleExpand,
-  onRemove,
-  onToggleEnabled,
-  onUpdateParam,
-}: SortableEffectItemProps) {
-  const { attributes, listeners, setNodeRef, transform, transition, isDragging } = useSortable({
-    id,
-  });
-
-  const style = {
-    transform: CSS.Transform.toString(transform),
-    transition,
-    zIndex: isDragging ? 10 : undefined,
-  };
-
-  const label = effectDef?.label ?? effect.type;
-
-  return (
-    <div
-      ref={setNodeRef}
-      style={style}
-      className={cn(
-        'rounded-md border',
-        effect.enabled ? 'border-border bg-card' : 'border-border/50 bg-muted/30',
-        isDragging && 'opacity-80 shadow-lg',
-      )}
-    >
-      {/* Header */}
-      <div className="flex items-center gap-1 px-2 py-1.5">
-        <button
-          type="button"
-          className="p-0.5 text-muted-foreground hover:text-foreground"
-          onClick={onToggleExpand}
-        >
-          {isExpanded ? (
-            <ChevronDown className="h-3.5 w-3.5" />
-          ) : (
-            <ChevronRight className="h-3.5 w-3.5" />
-          )}
-        </button>
-
-        <button
-          type="button"
-          className="p-0.5 text-muted-foreground/50 hover:text-muted-foreground cursor-grab active:cursor-grabbing touch-none"
-          {...attributes}
-          {...listeners}
-        >
-          <GripVertical className="h-3.5 w-3.5" />
-        </button>
-
-        <span
-          className={cn('flex-1 text-xs font-medium', !effect.enabled && 'text-muted-foreground')}
-        >
-          {label}
-        </span>
-
-        <button
-          type="button"
-          className={cn(
-            'p-0.5 transition-colors',
-            effect.enabled ? 'text-primary' : 'text-muted-foreground hover:text-foreground',
-          )}
-          onClick={onToggleEnabled}
-          title={effect.enabled ? 'Disable' : 'Enable'}
-        >
-          <Power className="h-3.5 w-3.5" />
-        </button>
-
-        <button
-          type="button"
-          className="p-0.5 text-muted-foreground hover:text-destructive"
-          onClick={onRemove}
-          title="Remove"
-        >
-          <Trash2 className="h-3.5 w-3.5" />
-        </button>
-      </div>
-
-      {/* Params */}
-      {isExpanded && effectDef && (
-        <div className="space-y-3 border-t px-3 py-2.5">
-          {Object.entries(effectDef.params).map(([paramName, paramDef]) => {
-            const currentValue = effect.params[paramName] ?? paramDef.default;
-            return (
-              <div key={paramName} className="space-y-1">
-                <div className="flex items-center justify-between">
-                  <Label className="text-[11px] text-muted-foreground">
-                    {paramDef.description}
-                  </Label>
-                  <span className="text-[11px] font-mono tabular-nums text-foreground">
-                    {currentValue.toFixed(
-                      paramDef.step < 1 ? Math.max(1, -Math.floor(Math.log10(paramDef.step))) : 0,
-                    )}
-                  </span>
-                </div>
-                <Slider
-                  min={paramDef.min}
-                  max={paramDef.max}
-                  step={paramDef.step}
-                  value={[currentValue]}
-                  onValueChange={([v]) => onUpdateParam(paramName, v)}
-                />
-              </div>
-            );
-          })}
-        </div>
-      )}
-    </div>
-  );
-}
@@ -1,103 +0,0 @@
-import { ChevronDown, Search } from 'lucide-react';
-import { useMemo, useState } from 'react';
-import { Button } from '@/components/ui/button';
-import { Input } from '@/components/ui/input';
-import { Popover, PopoverContent, PopoverTrigger } from '@/components/ui/popover';
-import type { HistoryResponse } from '@/lib/api/types';
-import { useHistory } from '@/lib/hooks/useHistory';
-import { cn } from '@/lib/utils/cn';
-
-interface GenerationPickerProps {
-  selectedId: string | null;
-  onSelect: (generation: HistoryResponse) => void;
-  className?: string;
-}
-
-export function GenerationPicker({ selectedId, onSelect, className }: GenerationPickerProps) {
-  const [open, setOpen] = useState(false);
-  const [searchQuery, setSearchQuery] = useState('');
-
-  const { data: historyData } = useHistory({ limit: 50 });
-
-  const completedGenerations = useMemo(() => {
-    if (!historyData?.items) return [];
-    return historyData.items.filter((gen) => gen.status === 'completed');
-  }, [historyData]);
-
-  const filtered = useMemo(() => {
-    if (!searchQuery) return completedGenerations;
-    const q = searchQuery.toLowerCase();
-    return completedGenerations.filter(
-      (gen) => gen.text.toLowerCase().includes(q) || gen.profile_name.toLowerCase().includes(q),
-    );
-  }, [completedGenerations, searchQuery]);
-
-  const selectedGeneration = completedGenerations.find((g) => g.id === selectedId);
-
-  return (
-    <Popover open={open} onOpenChange={setOpen}>
-      <PopoverTrigger asChild>
-        <Button
-          variant="outline"
-          size="sm"
-          className={cn('h-8 justify-between gap-2 text-xs font-normal', className)}
-        >
-          {selectedGeneration ? (
-            <span className="truncate">
-              <span className="font-medium">{selectedGeneration.profile_name}</span>
-              <span className="text-muted-foreground ml-1.5">
-                {selectedGeneration.text.length > 30
-                  ? `${selectedGeneration.text.substring(0, 30)}...`
-                  : selectedGeneration.text}
-              </span>
-            </span>
-          ) : (
-            <span className="text-muted-foreground">Select a generation...</span>
-          )}
-          <ChevronDown className="h-3.5 w-3.5 shrink-0 opacity-50" />
-        </Button>
-      </PopoverTrigger>
-      <PopoverContent className="w-80 p-0" align="start">
-        <div className="p-2 border-b">
-          <div className="relative">
-            <Search className="absolute left-2 top-1/2 -translate-y-1/2 h-3.5 w-3.5 text-muted-foreground" />
-            <Input
-              placeholder="Search by voice or text..."
-              value={searchQuery}
-              onChange={(e) => setSearchQuery(e.target.value)}
-              className="h-8 pl-7 text-xs"
-            />
-          </div>
-        </div>
-        <div className="max-h-60 overflow-y-auto">
-          {filtered.length === 0 ? (
-            <div className="p-4 text-center text-xs text-muted-foreground">
-              No generations found
-            </div>
-          ) : (
-            filtered.map((gen) => (
-              <button
-                key={gen.id}
-                type="button"
-                className={cn(
-                  'w-full text-left px-3 py-2 hover:bg-muted/50 transition-colors border-b border-border/30 last:border-0',
-                  gen.id === selectedId && 'bg-accent/10',
-                )}
-                onClick={() => {
-                  onSelect(gen);
-                  setOpen(false);
-                  setSearchQuery('');
-                }}
-              >
-                <div className="font-medium text-sm">{gen.profile_name}</div>
-                <div className="text-xs text-muted-foreground truncate">
-                  {gen.text.length > 60 ? `${gen.text.substring(0, 60)}...` : gen.text}
-                </div>
-              </button>
-            ))
-          )}
-        </div>
-      </PopoverContent>
-    </Popover>
-  );
-}
@@ -1,422 +0,0 @@
-import { useQuery, useQueryClient } from '@tanstack/react-query';
-import { Loader2, Play, Save, Trash2, Wand2 } from 'lucide-react';
-import { useEffect, useRef, useState } from 'react';
-
-import { EffectsChainEditor } from '@/components/Effects/EffectsChainEditor';
-import { GenerationPicker } from '@/components/Effects/GenerationPicker';
-import { Button } from '@/components/ui/button';
-import {
-  Dialog,
-  DialogContent,
-  DialogDescription,
-  DialogFooter,
-  DialogHeader,
-  DialogTitle,
-} from '@/components/ui/dialog';
-import { Input } from '@/components/ui/input';
-import { Label } from '@/components/ui/label';
-import { Separator } from '@/components/ui/separator';
-import { Textarea } from '@/components/ui/textarea';
-import { useToast } from '@/components/ui/use-toast';
-import { apiClient } from '@/lib/api/client';
-import type { HistoryResponse } from '@/lib/api/types';
-import { useHistory } from '@/lib/hooks/useHistory';
-import { useEffectsStore } from '@/stores/effectsStore';
-import { usePlayerStore } from '@/stores/playerStore';
-
-export function EffectsDetail() {
-  const selectedPresetId = useEffectsStore((s) => s.selectedPresetId);
-  const isCreatingNew = useEffectsStore((s) => s.isCreatingNew);
-  const workingChain = useEffectsStore((s) => s.workingChain);
-  const setWorkingChain = useEffectsStore((s) => s.setWorkingChain);
-  const setSelectedPresetId = useEffectsStore((s) => s.setSelectedPresetId);
-  const setIsCreatingNew = useEffectsStore((s) => s.setIsCreatingNew);
-
-  const [name, setName] = useState('');
-  const [description, setDescription] = useState('');
-  const [saving, setSaving] = useState(false);
-  const [deleting, setDeleting] = useState(false);
-
-  // "Save as Custom" dialog state
-  const [saveAsDialogOpen, setSaveAsDialogOpen] = useState(false);
-  const [saveAsName, setSaveAsName] = useState('');
-  const [saveAsDescription, setSaveAsDescription] = useState('');
-
-  // Preview state
-  const [previewGenId, setPreviewGenId] = useState<string | null>(null);
-  const [previewLoading, setPreviewLoading] = useState(false);
-  const blobUrlRef = useRef<string | null>(null);
-  const setAudioWithAutoPlay = usePlayerStore((s) => s.setAudioWithAutoPlay);
-
-  const { toast } = useToast();
-  const queryClient = useQueryClient();
-
-  // Auto-select the most recent generation as preview source
-  const { data: historyData } = useHistory({ limit: 1 });
-  useEffect(() => {
-    if (!previewGenId && historyData?.items?.length) {
-      const first = historyData.items.find((g) => g.status === 'completed');
-      if (first) setPreviewGenId(first.id);
-    }
-  }, [historyData, previewGenId]);
-
-  const { data: preset } = useQuery({
-    queryKey: ['effect-preset', selectedPresetId],
-    queryFn: () =>
-      selectedPresetId
-        ? apiClient
-            .listEffectPresets()
-            .then((all) => all.find((p) => p.id === selectedPresetId) ?? null)
-        : null,
-    enabled: !!selectedPresetId,
-    staleTime: 30_000,
-  });
-
-  // Sync name/description when selecting a preset
-  useEffect(() => {
-    if (preset) {
-      setName(preset.name);
-      setDescription(preset.description ?? '');
-    } else if (isCreatingNew) {
-      setName('');
-      setDescription('');
-    }
-  }, [preset, isCreatingNew]);
-
-  // Cleanup blob URL on unmount
-  useEffect(() => {
-    return () => {
-      if (blobUrlRef.current) {
-        URL.revokeObjectURL(blobUrlRef.current);
-        blobUrlRef.current = null;
-      }
-    };
-  }, []);
-
-  const isEditing = !!selectedPresetId || isCreatingNew;
-  const isBuiltIn = preset?.is_builtin ?? false;
-
-  async function handlePreview() {
-    if (!previewGenId || workingChain.length === 0) return;
-
-    setPreviewLoading(true);
-    try {
-      const blob = await apiClient.previewEffects(previewGenId, workingChain);
-
-      // Revoke old blob URL
-      if (blobUrlRef.current) {
-        URL.revokeObjectURL(blobUrlRef.current);
-      }
-
-      const url = URL.createObjectURL(blob);
-      blobUrlRef.current = url;
-
-      // Play through the main audio player
-      setAudioWithAutoPlay(url, `preview-${Date.now()}`, null, 'Effects Preview');
-    } catch (error) {
-      toast({
-        title: 'Preview failed',
-        description: error instanceof Error ? error.message : 'Unknown error',
-        variant: 'destructive',
-      });
-    } finally {
-      setPreviewLoading(false);
-    }
-  }
-
-  function handleSelectGeneration(gen: HistoryResponse) {
-    setPreviewGenId(gen.id);
-  }
-
-  async function handleSaveNew() {
-    if (!name.trim()) {
-      toast({ title: 'Name required', variant: 'destructive' });
-      return;
-    }
-    setSaving(true);
-    try {
-      const created = await apiClient.createEffectPreset({
-        name: name.trim(),
-        description: description.trim() || undefined,
-        effects_chain: workingChain,
-      });
-      queryClient.invalidateQueries({ queryKey: ['effect-presets'] });
-      setIsCreatingNew(false);
-      setSelectedPresetId(created.id);
-      toast({ title: 'Preset saved', description: `"${created.name}" has been created.` });
-    } catch (error) {
-      toast({
-        title: 'Failed to save',
-        description: error instanceof Error ? error.message : 'Unknown error',
-        variant: 'destructive',
-      });
-    } finally {
-      setSaving(false);
-    }
-  }
-
-  async function handleSaveExisting() {
-    if (!selectedPresetId || !name.trim()) return;
-    setSaving(true);
-    try {
-      await apiClient.updateEffectPreset(selectedPresetId, {
-        name: name.trim(),
-        description: description.trim() || undefined,
-        effects_chain: workingChain,
-      });
-      queryClient.invalidateQueries({ queryKey: ['effect-presets'] });
-      queryClient.invalidateQueries({ queryKey: ['effect-preset', selectedPresetId] });
-      toast({ title: 'Preset updated' });
-    } catch (error) {
-      toast({
-        title: 'Failed to save',
-        description: error instanceof Error ? error.message : 'Unknown error',
-        variant: 'destructive',
-      });
-    } finally {
-      setSaving(false);
-    }
-  }
-
-  function handleSaveAsNew() {
-    // Open the dialog with a suggested name based on the current preset
-    setSaveAsName(`${name} (Copy)`);
-    setSaveAsDescription(description);
-    setSaveAsDialogOpen(true);
-  }
-
-  async function handleSaveAsConfirm() {
-    if (!saveAsName.trim()) {
-      toast({ title: 'Name required', variant: 'destructive' });
-      return;
-    }
-    setSaving(true);
-    try {
-      const created = await apiClient.createEffectPreset({
-        name: saveAsName.trim(),
-        description: saveAsDescription.trim() || undefined,
-        effects_chain: workingChain,
-      });
-      queryClient.invalidateQueries({ queryKey: ['effect-presets'] });
-      setSaveAsDialogOpen(false);
-      setSelectedPresetId(created.id);
-      toast({ title: 'Preset saved', description: `"${created.name}" has been created.` });
-    } catch (error) {
-      toast({
-        title: 'Failed to save',
-        description: error instanceof Error ? error.message : 'Unknown error',
-        variant: 'destructive',
-      });
-    } finally {
-      setSaving(false);
-    }
-  }
-
-  async function handleDelete() {
-    if (!selectedPresetId) return;
-    setDeleting(true);
-    try {
-      await apiClient.deleteEffectPreset(selectedPresetId);
-      queryClient.invalidateQueries({ queryKey: ['effect-presets'] });
-      setSelectedPresetId(null);
-      setWorkingChain([]);
-      toast({ title: 'Preset deleted' });
-    } catch (error) {
-      toast({
-        title: 'Failed to delete',
-        description: error instanceof Error ? error.message : 'Unknown error',
-        variant: 'destructive',
-      });
-    } finally {
-      setDeleting(false);
-    }
-  }
-
-  if (!isEditing) {
-    return (
-      <div className="flex-1 flex items-center justify-center text-muted-foreground">
-        <div className="text-center space-y-2">
-          <Wand2 className="h-10 w-10 mx-auto opacity-30" />
-          <p className="text-sm">Select a preset or create a new one</p>
-        </div>
-      </div>
-    );
-  }
-
-  return (
-    <div className="flex flex-col h-full min-h-0">
-      {/* Header */}
-      <div className="flex items-center justify-between mb-4">
-        <h2 className="text-lg font-semibold">
-          {isCreatingNew ? 'New Preset' : isBuiltIn ? preset?.name : 'Edit Preset'}
-        </h2>
-        <div className="flex items-center gap-2">
-          {!isBuiltIn && !isCreatingNew && (
-            <>
-              <Button
-                variant="ghost"
-                size="sm"
-                className="h-8 text-destructive hover:text-destructive gap-1.5"
-                onClick={handleDelete}
-                disabled={deleting}
-              >
-                <Trash2 className="h-3.5 w-3.5" />
-                {deleting ? 'Deleting...' : 'Delete'}
-              </Button>
-              <Button
-                size="sm"
-                className="h-8 gap-1.5"
-                onClick={handleSaveExisting}
-                disabled={saving || workingChain.length === 0}
-              >
-                <Save className="h-3.5 w-3.5" />
-                {saving ? 'Saving...' : 'Save'}
-              </Button>
-            </>
-          )}
-          {isCreatingNew && (
-            <Button
-              size="sm"
-              className="h-8 gap-1.5"
-              onClick={handleSaveNew}
-              disabled={saving || workingChain.length === 0}
-            >
-              <Save className="h-3.5 w-3.5" />
-              {saving ? 'Saving...' : 'Save Preset'}
-            </Button>
-          )}
-          {isBuiltIn && (
-            <Button
-              size="sm"
-              variant="outline"
-              className="h-8 gap-1.5"
-              onClick={handleSaveAsNew}
-              disabled={saving}
-            >
-              <Save className="h-3.5 w-3.5" />
-              {saving ? 'Saving...' : 'Save as Custom'}
-            </Button>
-          )}
-        </div>
-      </div>
-
-      {/* Scrollable content */}
-      <div className="flex-1 min-h-0 overflow-y-auto space-y-5 pr-1">
-        {/* Name & description */}
-        {(isCreatingNew || !isBuiltIn) && (
-          <div className="space-y-3">
-            <div className="space-y-1.5">
-              <Label className="text-xs">Name</Label>
-              <Input
-                value={name}
-                onChange={(e) => setName(e.target.value)}
-                placeholder="My preset..."
-                className="h-9"
-              />
-            </div>
-            <div className="space-y-1.5">
-              <Label className="text-xs">Description</Label>
-              <Textarea
-                value={description}
-                onChange={(e) => setDescription(e.target.value)}
-                placeholder="Describe what this preset does..."
-                className="min-h-[60px] resize-none"
-              />
-            </div>
-          </div>
-        )}
-
-        {/* Built-in description (read-only) */}
-        {isBuiltIn && preset?.description && (
-          <p className="text-sm text-muted-foreground">{preset.description}</p>
-        )}
-
-        {/* Effects chain editor */}
-        <EffectsChainEditor value={workingChain} onChange={setWorkingChain} showPresets={false} />
-
-        <Separator />
-
-        {/* Preview section */}
-        <div className="space-y-3">
-          <Label className="text-xs">Preview</Label>
-          <div className="flex items-center gap-2">
-            <GenerationPicker
-              selectedId={previewGenId}
-              onSelect={handleSelectGeneration}
-              className="flex-1"
-            />
-            <Button
-              variant="outline"
-              size="sm"
-              className="h-8 gap-1.5 shrink-0"
-              onClick={handlePreview}
-              disabled={!previewGenId || workingChain.length === 0 || previewLoading}
-            >
-              {previewLoading ? (
-                <>
-                  <Loader2 className="h-3.5 w-3.5 animate-spin" />
-                  Processing...
-                </>
-              ) : (
-                <>
-                  <Play className="h-3.5 w-3.5" />
-                  Preview
-                </>
-              )}
-            </Button>
-          </div>
-          <p className="text-[11px] text-muted-foreground">
-            Preview applies effects to the clean version without saving.
-          </p>
-        </div>
-      </div>
-
-      {/* Save as Custom dialog */}
-      <Dialog open={saveAsDialogOpen} onOpenChange={setSaveAsDialogOpen}>
-        <DialogContent className="sm:max-w-md">
-          <DialogHeader>
-            <DialogTitle>Save as Custom Preset</DialogTitle>
-            <DialogDescription>
-              Create a new custom preset based on the current effects chain.
-            </DialogDescription>
-          </DialogHeader>
-          <div className="space-y-3 py-2">
-            <div className="space-y-1.5">
-              <Label className="text-xs">Name</Label>
-              <Input
-                value={saveAsName}
-                onChange={(e) => setSaveAsName(e.target.value)}
-                placeholder="My preset..."
-                className="h-9"
-                autoFocus
-                onKeyDown={(e) => {
-                  if (e.key === 'Enter' && saveAsName.trim()) {
-                    handleSaveAsConfirm();
-                  }
-                }}
-              />
-            </div>
-            <div className="space-y-1.5">
-              <Label className="text-xs">Description</Label>
-              <Textarea
-                value={saveAsDescription}
-                onChange={(e) => setSaveAsDescription(e.target.value)}
-                placeholder="Describe what this preset does..."
-                className="min-h-[60px] resize-none"
-              />
-            </div>
-          </div>
-          <DialogFooter>
-            <Button variant="outline" onClick={() => setSaveAsDialogOpen(false)} disabled={saving}>
-              Cancel
-            </Button>
-            <Button onClick={handleSaveAsConfirm} disabled={saving || !saveAsName.trim()}>
-              <Save className="h-3.5 w-3.5 mr-1.5" />
-              {saving ? 'Saving...' : 'Save'}
-            </Button>
-          </DialogFooter>
-        </DialogContent>
-      </Dialog>
-    </div>
-  );
-}
@@ -1,165 +0,0 @@
-import { useQuery } from '@tanstack/react-query';
-import { Loader2, Plus, Sparkles, Wand2 } from 'lucide-react';
-import { Button } from '@/components/ui/button';
-import { apiClient } from '@/lib/api/client';
-import type { EffectPresetResponse } from '@/lib/api/types';
-import { cn } from '@/lib/utils/cn';
-import { useEffectsStore } from '@/stores/effectsStore';
-
-export function EffectsList() {
-  const selectedPresetId = useEffectsStore((s) => s.selectedPresetId);
-  const setSelectedPresetId = useEffectsStore((s) => s.setSelectedPresetId);
-  const setWorkingChain = useEffectsStore((s) => s.setWorkingChain);
-  const setIsCreatingNew = useEffectsStore((s) => s.setIsCreatingNew);
-  const isCreatingNew = useEffectsStore((s) => s.isCreatingNew);
-
-  const { data: presets, isLoading } = useQuery({
-    queryKey: ['effect-presets'],
-    queryFn: () => apiClient.listEffectPresets(),
-    staleTime: 30_000,
-  });
-
-  const builtIn = presets?.filter((p) => p.is_builtin) ?? [];
-  const userPresets = presets?.filter((p) => !p.is_builtin) ?? [];
-
-  function handleSelect(preset: EffectPresetResponse) {
-    setSelectedPresetId(preset.id);
-    setWorkingChain(preset.effects_chain);
-  }
-
-  function handleCreateNew() {
-    setIsCreatingNew(true);
-    setWorkingChain([]);
-  }
-
-  if (isLoading) {
-    return (
-      <div className="flex items-center justify-center h-full">
-        <Loader2 className="h-6 w-6 animate-spin text-muted-foreground" />
-      </div>
-    );
-  }
-
-  return (
-    <div className="flex flex-col h-full min-h-0">
-      {/* Header */}
-      <div className="flex items-center justify-between mb-4">
-        <h2 className="text-lg font-semibold">Effects</h2>
-        <Button variant="outline" size="sm" className="h-8 gap-1.5" onClick={handleCreateNew}>
-          <Plus className="h-3.5 w-3.5" />
-          New Preset
-        </Button>
-      </div>
-
-      {/* Scrollable list */}
-      <div className="flex-1 min-h-0 overflow-y-auto space-y-4">
-        {/* Built-in presets */}
-        {builtIn.length > 0 && (
-          <div>
-            <div className="text-[11px] text-muted-foreground font-medium uppercase tracking-wider mb-2 px-1">
-              Built-in
-            </div>
-            <div className="space-y-1.5">
-              {builtIn.map((preset) => (
-                <PresetCard
-                  key={preset.id}
-                  preset={preset}
-                  isSelected={selectedPresetId === preset.id && !isCreatingNew}
-                  onSelect={() => handleSelect(preset)}
-                />
-              ))}
-            </div>
-          </div>
-        )}
-
-        {/* User presets */}
-        {userPresets.length > 0 && (
-          <div>
-            <div className="text-[11px] text-muted-foreground font-medium uppercase tracking-wider mb-2 px-1">
-              Custom
-            </div>
-            <div className="space-y-1.5">
-              {userPresets.map((preset) => (
-                <PresetCard
-                  key={preset.id}
-                  preset={preset}
-                  isSelected={selectedPresetId === preset.id && !isCreatingNew}
-                  onSelect={() => handleSelect(preset)}
-                />
-              ))}
-            </div>
-          </div>
-        )}
-
-        {/* New preset placeholder */}
-        {isCreatingNew && (
-          <div>
-            <div className="text-[11px] text-muted-foreground font-medium uppercase tracking-wider mb-2 px-1">
-              New
-            </div>
-            <div className="rounded-xl border-2 border-accent/40 bg-accent/5 p-3">
-              <div className="flex items-center gap-2">
-                <Sparkles className="h-4 w-4 text-accent" />
-                <span className="text-sm font-medium">Unsaved Preset</span>
-              </div>
-              <p className="text-xs text-muted-foreground mt-1">
-                Configure effects in the panel on the right.
-              </p>
-            </div>
-          </div>
-        )}
-      </div>
-    </div>
-  );
-}
-
-function PresetCard({
-  preset,
-  isSelected,
-  onSelect,
-}: {
-  preset: EffectPresetResponse;
-  isSelected: boolean;
-  onSelect: () => void;
-}) {
-  const effectCount = preset.effects_chain.length;
-
-  return (
-    <button
-      type="button"
-      className={cn(
-        'w-full text-left rounded-xl border p-3 h-[88px] transition-all duration-150',
-        isSelected
-          ? 'border-accent/50 bg-accent/10'
-          : 'border-border bg-card hover:bg-muted/50 hover:border-border',
-      )}
-      onClick={onSelect}
-    >
-      <div className="flex items-center gap-2">
-        <Wand2
-          className={cn('h-4 w-4 shrink-0', isSelected ? 'text-accent' : 'text-muted-foreground')}
-        />
-        <span className="text-sm font-medium truncate">{preset.name}</span>
-        {preset.is_builtin && (
-          <span className="text-[10px] bg-muted text-muted-foreground px-1.5 py-0.5 rounded-full shrink-0">
-            built-in
-          </span>
-        )}
-      </div>
-      <p className="text-xs text-muted-foreground mt-1 line-clamp-1 pl-6">
-        {preset.description || 'No description'}
-      </p>
-      <div className="flex items-center gap-2 mt-1.5 pl-6">
-        <span className="text-[10px] text-muted-foreground">
-          {effectCount} effect{effectCount !== 1 ? 's' : ''}
-        </span>
-        <span className="text-[10px] text-muted-foreground/50">
-          {preset.effects_chain
-            .filter((e) => e.enabled)
-            .map((e) => e.type)
-            .join(' → ')}
-        </span>
-      </div>
-    </button>
-  );
-}
@@ -1,20 +0,0 @@
-import {EffectsDetail} from "./EffectsDetail";
-import {EffectsList} from "./EffectsList";
-
-export function EffectsTab() {
-	return (
-		<div className="flex flex-col h-full min-h-0 overflow-hidden">
-			<div className="flex-1 min-h-0 flex gap-6 overflow-hidden">
-				{/* Left - Presets list */}
-				<div className="w-full max-w-[360px] shrink-0 flex flex-col min-h-0">
-					<EffectsList />
-				</div>
-
-				{/* Right - Detail / editor */}
-				<div className="flex-1 min-h-0 flex flex-col">
-					<EffectsDetail />
-				</div>
-			</div>
-		</div>
-	);
-}
@@ -1,103 +0,0 @@
-import type { UseFormReturn } from 'react-hook-form';
-import { FormControl } from '@/components/ui/form';
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from '@/components/ui/select';
-import { getLanguageOptionsForEngine } from '@/lib/constants/languages';
-import type { GenerationFormValues } from '@/lib/hooks/useGenerationForm';
-
-/**
- * Engine/model options and their display metadata.
- * Adding a new engine means adding one entry here.
- */
-const ENGINE_OPTIONS = [
-  { value: 'qwen:1.7B', label: 'Qwen3-TTS 1.7B' },
-  { value: 'qwen:0.6B', label: 'Qwen3-TTS 0.6B' },
-  { value: 'luxtts', label: 'LuxTTS' },
-  { value: 'chatterbox', label: 'Chatterbox' },
-  { value: 'chatterbox_turbo', label: 'Chatterbox Turbo' },
-] as const;
-
-const ENGINE_DESCRIPTIONS: Record<string, string> = {
-  qwen: 'Multi-language, two sizes',
-  luxtts: 'Fast, English-focused',
-  chatterbox: '23 languages, incl. Hebrew',
-  chatterbox_turbo: 'English, [laugh] [cough] tags',
-};
-
-/** Engines that only support English and should force language to 'en' on select. */
-const ENGLISH_ONLY_ENGINES = new Set(['luxtts', 'chatterbox_turbo']);
-
-function getSelectValue(engine: string, modelSize?: string): string {
-  if (engine === 'qwen') return `qwen:${modelSize || '1.7B'}`;
-  return engine;
-}
-
-function handleEngineChange(form: UseFormReturn<GenerationFormValues>, value: string) {
-  if (value.startsWith('qwen:')) {
-    const [, modelSize] = value.split(':');
-    form.setValue('engine', 'qwen');
-    form.setValue('modelSize', modelSize as '1.7B' | '0.6B');
-    // Validate language is supported by Qwen
-    const currentLang = form.getValues('language');
-    const available = getLanguageOptionsForEngine('qwen');
-    if (!available.some((l) => l.value === currentLang)) {
-      form.setValue('language', available[0]?.value ?? 'en');
-    }
-  } else {
-    form.setValue('engine', value as GenerationFormValues['engine']);
-    form.setValue('modelSize', undefined as unknown as '1.7B' | '0.6B');
-    if (ENGLISH_ONLY_ENGINES.has(value)) {
-      form.setValue('language', 'en');
-    } else {
-      // If current language isn't supported by the new engine, reset to first available
-      const currentLang = form.getValues('language');
-      const available = getLanguageOptionsForEngine(value);
-      if (!available.some((l) => l.value === currentLang)) {
-        form.setValue('language', available[0]?.value ?? 'en');
-      }
-    }
-  }
-}
-
-interface EngineModelSelectorProps {
-  form: UseFormReturn<GenerationFormValues>;
-  compact?: boolean;
-}
-
-export function EngineModelSelector({ form, compact }: EngineModelSelectorProps) {
-  const engine = form.watch('engine') || 'qwen';
-  const modelSize = form.watch('modelSize');
-  const selectValue = getSelectValue(engine, modelSize);
-
-  const itemClass = compact ? 'text-xs text-muted-foreground' : undefined;
-  const triggerClass = compact
-    ? 'h-8 text-xs bg-card border-border rounded-full hover:bg-background/50 transition-all'
-    : undefined;
-
-  return (
-    <Select value={selectValue} onValueChange={(v) => handleEngineChange(form, v)}>
-      <FormControl>
-        <SelectTrigger className={triggerClass}>
-          <SelectValue />
-        </SelectTrigger>
-      </FormControl>
-      <SelectContent>
-        {ENGINE_OPTIONS.map((opt) => (
-          <SelectItem key={opt.value} value={opt.value} className={itemClass}>
-            {opt.label}
-          </SelectItem>
-        ))}
-      </SelectContent>
-    </Select>
-  );
-}
-
-/** Returns a human-readable description for the currently selected engine. */
-export function getEngineDescription(engine: string): string {
-  return ENGINE_DESCRIPTIONS[engine] ?? '';
-}
@@ -1,7 +1,6 @@
-import { useQuery } from '@tanstack/react-query';
 import { useMatchRoute } from '@tanstack/react-router';
 import { AnimatePresence, motion } from 'framer-motion';
-import { Loader2, Sparkles } from 'lucide-react';
+import { Loader2, MessageSquare, Sparkles } from 'lucide-react';
 import { useEffect, useRef, useState } from 'react';
 import { Button } from '@/components/ui/button';
 import { Form, FormControl, FormField, FormItem, FormMessage } from '@/components/ui/form';
@@ -13,17 +12,14 @@ import {
  SelectValue,
 } from '@/components/ui/select';
 import { Textarea } from '@/components/ui/textarea';
-import { apiClient } from '@/lib/api/client';
-import { getLanguageOptionsForEngine, type LanguageCode } from '@/lib/constants/languages';
+import { useToast } from '@/components/ui/use-toast';
+import { LANGUAGE_OPTIONS } from '@/lib/constants/languages';
 import { useGenerationForm } from '@/lib/hooks/useGenerationForm';
 import { useProfile, useProfiles } from '@/lib/hooks/useProfiles';
-import { useStory } from '@/lib/hooks/useStories';
+import { useAddStoryItem, useStory } from '@/lib/hooks/useStories';
 import { cn } from '@/lib/utils/cn';
-import { useGenerationStore } from '@/stores/generationStore';
 import { useStoryStore } from '@/stores/storyStore';
 import { useUIStore } from '@/stores/uiStore';
-import { EngineModelSelector } from './EngineModelSelector';
-import { ParalinguisticInput } from './ParalinguisticInput';

 interface FloatingGenerateBoxProps {
  isPlayerOpen?: boolean;
@@ -39,7 +35,7 @@ export function FloatingGenerateBox({
  const { data: selectedProfile } = useProfile(selectedProfileId || '');
  const { data: profiles } = useProfiles();
  const [isExpanded, setIsExpanded] = useState(false);
-  const [selectedPresetId, setSelectedPresetId] = useState<string | null>(null);
+  const [isInstructMode, setIsInstructMode] = useState(false);
  const containerRef = useRef<HTMLDivElement>(null);
  const textareaRef = useRef<HTMLTextAreaElement | null>(null);
  const matchRoute = useMatchRoute();
@@ -47,13 +43,8 @@ export function FloatingGenerateBox({
  const selectedStoryId = useStoryStore((state) => state.selectedStoryId);
  const trackEditorHeight = useStoryStore((state) => state.trackEditorHeight);
  const { data: currentStory } = useStory(selectedStoryId);
-  const addPendingStoryAdd = useGenerationStore((s) => s.addPendingStoryAdd);
-
-  // Fetch effect presets for the dropdown
-  const { data: effectPresets } = useQuery({
-    queryKey: ['effectPresets'],
-    queryFn: () => apiClient.listEffectPresets(),
-  });
+  const addStoryItem = useAddStoryItem();
+  const { toast } = useToast();

  // Calculate if track editor is visible (on stories route with items)
  const hasTrackEditor = isStoriesRoute && currentStory && currentStory.items.length > 0;
@@ -61,16 +52,27 @@ export function FloatingGenerateBox({
  const { form, handleSubmit, isPending } = useGenerationForm({
    onSuccess: async (generationId) => {
      setIsExpanded(false);
-      // Defer the story add until TTS completes -- useGenerationProgress handles it
+      // If on stories route and a story is selected, add generation to story
      if (isStoriesRoute && selectedStoryId && generationId) {
-        addPendingStoryAdd(generationId, selectedStoryId);
+        try {
+          await addStoryItem.mutateAsync({
+            storyId: selectedStoryId,
+            data: { generation_id: generationId },
+          });
+          toast({
+            title: 'Added to story',
+            description: `Generation added to "${currentStory?.name || 'story'}"`,
+          });
+        } catch (error) {
+          toast({
+            title: 'Failed to add to story',
+            description:
+              error instanceof Error ? error.message : 'Could not add generation to story',
+            variant: 'destructive',
+          });
+        }
      }
    },
-    getEffectsChain: () => {
-      if (!selectedPresetId || !effectPresets) return undefined;
-      const preset = effectPresets.find((p) => p.id === selectedPresetId);
-      return preset?.effects_chain;
-    },
  });

  // Click away handler to collapse the box
@@ -110,13 +112,6 @@ export function FloatingGenerateBox({
    }
  }, [selectedProfileId, profiles, setSelectedProfileId]);

-  // Sync generation form language with selected profile's language
-  useEffect(() => {
-    if (selectedProfile?.language) {
-      form.setValue('language', selectedProfile.language as LanguageCode);
-    }
-  }, [selectedProfile, form]);
-
  // Auto-resize textarea based on content (only when expanded)
  useEffect(() => {
    if (!isExpanded) {
@@ -179,7 +174,7 @@ export function FloatingGenerateBox({
        isStoriesRoute
          ? // Position aligned with story list: after sidebar + padding, width 360px
            'left-[calc(5rem+2rem)] w-[360px]'
-          : 'left-[calc(5rem+2rem)] right-8 lg:right-auto lg:w-[calc((100%-5rem-4rem)/2-1rem)]',
+          : 'left-[calc(5rem+2rem)] w-[calc((100%-5rem-4rem)/2-1rem)]',
      )}
      style={{
        // On stories route: offset by track editor height when visible
@@ -192,52 +187,39 @@ export function FloatingGenerateBox({
      }}
    >
      <motion.div
-        className="bg-background/30 backdrop-blur-2xl border border-accent/20 rounded-[2rem] shadow-2xl hover:bg-background/40 hover:border-accent/20 transition-all duration-300 p-3"
+        className="bg-background/30 backdrop-blur-2xl border border-accent/20 rounded-[2rem] shadow-2xl hover:bg-background/40 hover:border-accent/20 transition-all duration-300 overflow-hidden p-3"
        transition={{ duration: 0.6, ease: 'easeInOut' }}
      >
        <Form {...form}>
          <form onSubmit={form.handleSubmit(onSubmit)}>
            <div className="flex gap-2">
-              <motion.div className="flex-1" transition={{ duration: 0.3, ease: 'easeOut' }}>
-                <FormField
-                  control={form.control}
-                  name="text"
-                  render={({ field }) => (
-                    <FormItem>
-                      <FormControl>
-                        <motion.div
-                          animate={{
-                            height: isExpanded ? 'auto' : '32px',
-                          }}
-                          transition={{ duration: 0.15, ease: 'easeOut' }}
-                          style={{ overflow: 'hidden' }}
-                        >
-                          {form.watch('engine') === 'chatterbox_turbo' ? (
-                            <ParalinguisticInput
-                              value={field.value}
-                              onChange={field.onChange}
-                              placeholder={
-                                isStoriesRoute && currentStory
-                                  ? `Generate speech for "${currentStory.name}"... (type / for effects)`
-                                  : selectedProfile
-                                    ? `Type / for effects like [laugh], [sigh]...`
-                                    : 'Select a voice profile above...'
-                              }
-                              className="px-3 py-2 resize-none bg-transparent border-none focus-visible:ring-0 focus-visible:ring-offset-0 focus:outline-none focus:ring-0 outline-none ring-0 rounded-2xl text-sm w-full"
-                              style={{
-                                minHeight: isExpanded ? '100px' : '32px',
-                                maxHeight: '300px',
-                                overflowY: 'auto',
-                              }}
-                              disabled={!selectedProfileId}
-                              onClick={() => setIsExpanded(true)}
-                              onFocus={() => setIsExpanded(true)}
-                            />
-                          ) : (
+              <motion.div
+                className={cn('flex-1', isExpanded && 'mr-12')}
+                transition={{ duration: 0.3, ease: 'easeOut' }}
+              >
+                {/* Text field - hidden when in instruct mode */}
+                <div style={{ display: isInstructMode ? 'none' : 'block' }}>
+                  <FormField
+                    control={form.control}
+                    name="text"
+                    render={({ field }) => (
+                      <FormItem>
+                        <FormControl>
+                          <motion.div
+                            animate={{
+                              height: isExpanded ? 'auto' : '32px',
+                            }}
+                            transition={{ duration: 0.15, ease: 'easeOut' }}
+                            style={{ overflow: 'hidden' }}
+                          >
                            <Textarea
                              {...field}
                              ref={(node: HTMLTextAreaElement | null) => {
-                                textareaRef.current = node;
+                                // Store ref for auto-resize (only for active field)
+                                if (!isInstructMode) {
+                                  textareaRef.current = node;
+                                }
+                                // Forward ref to react-hook-form
                                if (typeof field.ref === 'function') {
                                  field.ref(node);
                                }
@@ -258,44 +240,98 @@ export function FloatingGenerateBox({
                              onClick={() => setIsExpanded(true)}
                              onFocus={() => setIsExpanded(true)}
                            />
-                          )}
-                        </motion.div>
-                      </FormControl>
-                      <FormMessage className="text-xs" />
-                    </FormItem>
-                  )}
-                />
+                          </motion.div>
+                        </FormControl>
+                        <FormMessage className="text-xs" />
+                      </FormItem>
+                    )}
+                  />
+                </div>
+                {/* Instruct field - hidden when in text mode */}
+                <div style={{ display: isInstructMode ? 'block' : 'none' }}>
+                  <FormField
+                    control={form.control}
+                    name="instruct"
+                    render={({ field }) => (
+                      <FormItem>
+                        <FormControl>
+                          <motion.div
+                            animate={{
+                              height: isExpanded ? 'auto' : '32px',
+                            }}
+                            transition={{ duration: 0.15, ease: 'easeOut' }}
+                            style={{ overflow: 'hidden' }}
+                          >
+                            <Textarea
+                              {...field}
+                              ref={(node: HTMLTextAreaElement | null) => {
+                                // Store ref for auto-resize (only for active field)
+                                if (isInstructMode) {
+                                  textareaRef.current = node;
+                                }
+                                // Forward ref to react-hook-form
+                                if (typeof field.ref === 'function') {
+                                  field.ref(node);
+                                }
+                              }}
+                              placeholder="Add delivery instructions..."
+                              className="resize-none bg-transparent border-none focus-visible:ring-0 focus-visible:ring-offset-0 focus:outline-none focus:ring-0 outline-none ring-0 rounded-2xl text-sm placeholder:text-muted-foreground/60 w-full"
+                              style={{
+                                minHeight: isExpanded ? '100px' : '32px',
+                                maxHeight: '300px',
+                              }}
+                              disabled={!selectedProfileId}
+                              onClick={() => setIsExpanded(true)}
+                              onFocus={() => setIsExpanded(true)}
+                            />
+                          </motion.div>
+                        </FormControl>
+                        <FormMessage className="text-xs" />
+                      </FormItem>
+                    )}
+                  />
+                </div>
              </motion.div>

              <div className="relative shrink-0">
-                <div className="group relative">
-                  <Button
-                    type="submit"
-                    disabled={isPending || !selectedProfileId}
-                    className="h-10 w-10 rounded-full bg-accent hover:bg-accent/90 hover:scale-105 text-accent-foreground shadow-lg hover:shadow-accent/50 transition-all duration-200"
-                    size="icon"
-                    aria-label={
-                      isPending
-                        ? 'Generating...'
-                        : !selectedProfileId
-                          ? 'Select a voice profile first'
-                          : 'Generate speech'
-                    }
-                  >
-                    {isPending ? (
-                      <Loader2 className="h-4 w-4 animate-spin" />
-                    ) : (
-                      <Sparkles className="h-4 w-4" />
-                    )}
-                  </Button>
-                  <span className="pointer-events-none absolute bottom-full left-1/2 -translate-x-1/2 mb-2 whitespace-nowrap rounded-md bg-popover px-3 py-1.5 text-xs text-popover-foreground border border-border opacity-0 transition-opacity group-hover:opacity-100 z-[9999]">
-                    {isPending
-                      ? 'Generating...'
-                      : !selectedProfileId
-                        ? 'Select a voice profile first'
-                        : 'Generate speech'}
-                  </span>
-                </div>
+                <Button
+                  type="submit"
+                  disabled={isPending || !selectedProfileId}
+                  className="h-10 w-10 rounded-full bg-accent hover:bg-accent/90 hover:scale-105 text-accent-foreground shadow-lg hover:shadow-accent/50 transition-all duration-200"
+                  size="icon"
+                >
+                  {isPending ? (
+                    <Loader2 className="h-4 w-4 animate-spin" />
+                  ) : (
+                    <Sparkles className="h-4 w-4" />
+                  )}
+                </Button>
+                <AnimatePresence>
+                  {isExpanded && (
+                    <motion.div
+                      initial={{ opacity: 0, scale: 0.8 }}
+                      animate={{ opacity: 1, scale: 1 }}
+                      exit={{ opacity: 0, scale: 0.8 }}
+                      transition={{ duration: 0.2 }}
+                      className="absolute top-0 right-[calc(100%+0.5rem)]"
+                    >
+                      <Button
+                        type="button"
+                        variant="ghost"
+                        size="icon"
+                        onClick={() => setIsInstructMode(!isInstructMode)}
+                        className={cn(
+                          'h-10 w-10 rounded-full transition-all duration-200',
+                          isInstructMode
+                            ? 'bg-accent text-accent-foreground border border-accent hover:bg-accent/90'
+                            : 'bg-card border border-border hover:bg-background/50',
+                        )}
+                      >
+                        <MessageSquare className="h-4 w-4" />
+                      </Button>
+                    </motion.div>
+                  )}
+                </AnimatePresence>
              </div>
            </div>

@@ -331,58 +367,51 @@ export function FloatingGenerateBox({
                  <FormField
                    control={form.control}
                    name="language"
-                    render={({ field }) => {
-                      const engineLangs = getLanguageOptionsForEngine(
-                        form.watch('engine') || 'qwen',
-                      );
-                      return (
-                        <FormItem className="flex-1 space-y-0">
-                          <Select onValueChange={field.onChange} value={field.value}>
-                            <FormControl>
-                              <SelectTrigger className="h-8 text-xs bg-card border-border rounded-full hover:bg-background/50 transition-all">
-                                <SelectValue />
-                              </SelectTrigger>
-                            </FormControl>
-                            <SelectContent>
-                              {engineLangs.map((lang) => (
-                                <SelectItem key={lang.value} value={lang.value} className="text-xs">
-                                  {lang.label}
-                                </SelectItem>
-                              ))}
-                            </SelectContent>
-                          </Select>
-                          <FormMessage className="text-xs" />
-                        </FormItem>
-                      );
-                    }}
+                    render={({ field }) => (
+                      <FormItem className="flex-1 space-y-0">
+                        <Select onValueChange={field.onChange} defaultValue={field.value}>
+                          <FormControl>
+                            <SelectTrigger className="h-8 text-xs bg-card border-border rounded-full hover:bg-background/50 transition-all">
+                              <SelectValue />
+                            </SelectTrigger>
+                          </FormControl>
+                          <SelectContent>
+                            {LANGUAGE_OPTIONS.map((lang) => (
+                              <SelectItem key={lang.value} value={lang.value} className="text-xs">
+                                {lang.label}
+                              </SelectItem>
+                            ))}
+                          </SelectContent>
+                        </Select>
+                        <FormMessage className="text-xs" />
+                      </FormItem>
+                    )}
                  />

-                  <FormItem className="flex-1 space-y-0">
-                    <EngineModelSelector form={form} compact />
-                  </FormItem>
-
-                  <FormItem className="flex-1 space-y-0">
-                    <Select
-                      value={selectedPresetId || 'none'}
-                      onValueChange={(value) =>
-                        setSelectedPresetId(value === 'none' ? null : value)
-                      }
-                    >
-                      <SelectTrigger className="h-8 text-xs bg-card border-border rounded-full hover:bg-background/50 transition-all">
-                        <SelectValue placeholder="No effects" />
-                      </SelectTrigger>
-                      <SelectContent>
-                        <SelectItem value="none" className="text-xs">
-                          No effects
-                        </SelectItem>
-                        {effectPresets?.map((preset) => (
-                          <SelectItem key={preset.id} value={preset.id} className="text-xs">
-                            {preset.name}
-                          </SelectItem>
-                        ))}
-                      </SelectContent>
-                    </Select>
-                  </FormItem>
+                  <FormField
+                    control={form.control}
+                    name="modelSize"
+                    render={({ field }) => (
+                      <FormItem className="flex-1 space-y-0">
+                        <Select onValueChange={field.onChange} defaultValue={field.value}>
+                          <FormControl>
+                            <SelectTrigger className="h-8 text-xs bg-card border-border rounded-full hover:bg-background/50 transition-all">
+                              <SelectValue />
+                            </SelectTrigger>
+                          </FormControl>
+                          <SelectContent>
+                            <SelectItem value="1.7B" className="text-xs text-muted-foreground">
+                              Qwen3-TTS 1.7B
+                            </SelectItem>
+                            <SelectItem value="0.6B" className="text-xs text-muted-foreground">
+                              Qwen3-TTS 0.6B
+                            </SelectItem>
+                          </SelectContent>
+                        </Select>
+                        <FormMessage className="text-xs" />
+                      </FormItem>
+                    )}
+                  />
                </div>
              </motion.div>
            </AnimatePresence>
@@ -19,12 +19,10 @@ import {
  SelectValue,
 } from '@/components/ui/select';
 import { Textarea } from '@/components/ui/textarea';
-import { getLanguageOptionsForEngine } from '@/lib/constants/languages';
+import { LANGUAGE_OPTIONS } from '@/lib/constants/languages';
 import { useGenerationForm } from '@/lib/hooks/useGenerationForm';
 import { useProfile } from '@/lib/hooks/useProfiles';
 import { useUIStore } from '@/stores/uiStore';
-import { EngineModelSelector, getEngineDescription } from './EngineModelSelector';
-import { ParalinguisticInput } from './ParalinguisticInput';

 export function GenerationForm() {
  const selectedProfileId = useUIStore((state) => state.selectedProfileId);
@@ -66,90 +64,87 @@ export function GenerationForm() {
                <FormItem>
                  <FormLabel>Text to Speak</FormLabel>
                  <FormControl>
-                    {form.watch('engine') === 'chatterbox_turbo' ? (
-                      <ParalinguisticInput
-                        value={field.value}
-                        onChange={field.onChange}
-                        placeholder="Enter text... type / for effects like [laugh], [sigh]"
-                        className="min-h-[150px] rounded-md border border-input bg-background px-3 py-2"
-                      />
-                    ) : (
-                      <Textarea
-                        placeholder="Enter the text you want to generate..."
-                        className="min-h-[150px]"
-                        {...field}
-                      />
-                    )}
+                    <Textarea
+                      placeholder="Enter the text you want to generate..."
+                      className="min-h-[150px]"
+                      {...field}
+                    />
+                  </FormControl>
+                  <FormDescription>Max 5000 characters</FormDescription>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+
+            <FormField
+              control={form.control}
+              name="instruct"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>Delivery Instructions (optional)</FormLabel>
+                  <FormControl>
+                    <Textarea
+                      placeholder="e.g. Speak slowly with emphasis, Warm and friendly tone, Professional and authoritative..."
+                      className="min-h-[80px]"
+                      {...field}
+                    />
                  </FormControl>
                  <FormDescription>
-                    {form.watch('engine') === 'chatterbox_turbo'
-                      ? 'Max 5000 characters. Type / to insert sound effects.'
-                      : 'Max 5000 characters'}
+                    Natural language instructions to control speech delivery (tone, emotion, pace).
+                    Max 500 characters
                  </FormDescription>
                  <FormMessage />
                </FormItem>
              )}
            />

-            {form.watch('engine') === 'qwen' && (
+            <div className="grid gap-4 md:grid-cols-3">
              <FormField
                control={form.control}
-                name="instruct"
+                name="language"
                render={({ field }) => (
                  <FormItem>
-                    <FormLabel>Delivery Instructions (optional)</FormLabel>
-                    <FormControl>
-                      <Textarea
-                        placeholder="e.g. Speak slowly with emphasis, Warm and friendly tone, Professional and authoritative..."
-                        className="min-h-[80px]"
-                        {...field}
-                      />
-                    </FormControl>
-                    <FormDescription>
-                      Natural language instructions to control speech delivery (tone, emotion,
-                      pace). Max 500 characters
-                    </FormDescription>
+                    <FormLabel>Language</FormLabel>
+                    <Select onValueChange={field.onChange} defaultValue={field.value}>
+                      <FormControl>
+                        <SelectTrigger>
+                          <SelectValue />
+                        </SelectTrigger>
+                      </FormControl>
+                      <SelectContent>
+                        {LANGUAGE_OPTIONS.map((lang) => (
+                          <SelectItem key={lang.value} value={lang.value}>
+                            {lang.label}
+                          </SelectItem>
+                        ))}
+                      </SelectContent>
+                    </Select>
                    <FormMessage />
                  </FormItem>
                )}
              />
-            )}
-
-            <div className="grid gap-4 md:grid-cols-3">
-              <FormItem>
-                <FormLabel>Model</FormLabel>
-                <EngineModelSelector form={form} />
-                <FormDescription>
-                  {getEngineDescription(form.watch('engine') || 'qwen')}
-                </FormDescription>
-              </FormItem>

              <FormField
                control={form.control}
-                name="language"
-                render={({ field }) => {
-                  const engineLangs = getLanguageOptionsForEngine(form.watch('engine') || 'qwen');
-                  return (
-                    <FormItem>
-                      <FormLabel>Language</FormLabel>
-                      <Select onValueChange={field.onChange} value={field.value}>
-                        <FormControl>
-                          <SelectTrigger>
-                            <SelectValue />
-                          </SelectTrigger>
-                        </FormControl>
-                        <SelectContent>
-                          {engineLangs.map((lang) => (
-                            <SelectItem key={lang.value} value={lang.value}>
-                              {lang.label}
-                            </SelectItem>
-                          ))}
-                        </SelectContent>
-                      </Select>
-                      <FormMessage />
-                    </FormItem>
-                  );
-                }}
+                name="modelSize"
+                render={({ field }) => (
+                  <FormItem>
+                    <FormLabel>Model Size</FormLabel>
+                    <Select onValueChange={field.onChange} defaultValue={field.value}>
+                      <FormControl>
+                        <SelectTrigger>
+                          <SelectValue />
+                        </SelectTrigger>
+                      </FormControl>
+                      <SelectContent>
+                        <SelectItem value="1.7B">Qwen TTS 1.7B (Higher Quality)</SelectItem>
+                        <SelectItem value="0.6B">Qwen TTS 0.6B (Faster)</SelectItem>
+                      </SelectContent>
+                    </Select>
+                    <FormDescription>Larger models produce better quality</FormDescription>
+                    <FormMessage />
+                  </FormItem>
+                )}
              />

              <FormField
@@ -175,7 +170,11 @@ export function GenerationForm() {
              />
            </div>

-            <Button type="submit" className="w-full" disabled={isPending || !selectedProfileId}>
+            <Button
+              type="submit"
+              className="w-full"
+              disabled={isPending || !selectedProfileId}
+            >
              {isPending ? (
                <>
                  <Loader2 className="mr-2 h-4 w-4 animate-spin" />
@@ -1,422 +0,0 @@
-/**
- * ParalinguisticInput — a contentEditable rich text input that renders
- * Chatterbox Turbo paralinguistic tags (e.g. [laugh]) as inline badges.
- *
- * Trigger: typing "/" opens an autocomplete dropdown.
- * Paste:   pasting text with [tag] patterns auto-converts to badges.
- * Output:  serializes badges back to plain [tag] text for the API.
- */
-
-import { AnimatePresence, motion } from 'framer-motion';
-import { forwardRef, useCallback, useEffect, useImperativeHandle, useRef, useState } from 'react';
-import { createPortal } from 'react-dom';
-import { cn } from '@/lib/utils/cn';
-
-// ── Tag definitions ─────────────────────────────────────────────────
-const PARALINGUISTIC_TAGS = [
-  { tag: '[laugh]', label: 'laugh', emoji: '\u{1F602}' },
-  { tag: '[chuckle]', label: 'chuckle', emoji: '\u{1F60F}' },
-  { tag: '[gasp]', label: 'gasp', emoji: '\u{1F62E}' },
-  { tag: '[cough]', label: 'cough', emoji: '\u{1F637}' },
-  { tag: '[sigh]', label: 'sigh', emoji: '\u{1F614}' },
-  { tag: '[groan]', label: 'groan', emoji: '\u{1F629}' },
-  { tag: '[sniff]', label: 'sniff', emoji: '\u{1F443}' },
-  { tag: '[shush]', label: 'shush', emoji: '\u{1F92B}' },
-  { tag: '[clear throat]', label: 'clear throat', emoji: '\u{1F64A}' },
-] as const;
-
-const TAG_REGEX = /\[(laugh|chuckle|gasp|cough|sigh|groan|sniff|shush|clear throat)\]/gi;
-
-// Data attribute used to identify badge spans in the DOM
-const BADGE_ATTR = 'data-ptag';
-
-// ── Helpers ─────────────────────────────────────────────────────────
-
-/** Build an inline badge <span> for a tag. */
-function makeBadgeHTML(tag: string): string {
-  const entry = PARALINGUISTIC_TAGS.find((t) => t.tag.toLowerCase() === tag.toLowerCase());
-  const label = entry?.label ?? tag.replace(/[[\]]/g, '');
-  const emoji = entry?.emoji ?? '';
-  // Non-editable inline badge. Zero-width spaces around it let the
-  // caret sit on either side so the user can type before/after.
-  return `\u200B<span ${BADGE_ATTR}="${tag}" contenteditable="false" class="ptag-badge">${emoji ? `${emoji}\u00A0` : ''}${label}</span>\u200B`;
-}
-
-/** Convert plain text with [tag] patterns into HTML with badge spans. */
-function textToHTML(text: string): string {
-  // Escape HTML entities first
-  const escaped = text.replace(/&/g, '&amp;').replace(/</g, '&lt;').replace(/>/g, '&gt;');
-  // Replace tag patterns with badge HTML
-  return escaped.replace(TAG_REGEX, (match) => makeBadgeHTML(match));
-}
-
-/** Serialize the contentEditable innerHTML back to plain text with [tag] syntax. */
-function htmlToText(container: HTMLElement): string {
-  let result = '';
-  for (const node of container.childNodes) {
-    if (node.nodeType === Node.TEXT_NODE) {
-      // Strip zero-width spaces we added around badges
-      result += (node.textContent ?? '').replace(/\u200B/g, '');
-    } else if (node.nodeType === Node.ELEMENT_NODE) {
-      const el = node as HTMLElement;
-      if (el.hasAttribute(BADGE_ATTR)) {
-        result += el.getAttribute(BADGE_ATTR) ?? '';
-      } else if (el.tagName === 'BR') {
-        result += '\n';
-      } else {
-        // Recurse for nested elements (e.g. spans from paste)
-        result += htmlToText(el);
-      }
-    }
-  }
-  return result;
-}
-
-/** Get the text content from the current caret position back to the last
- *  whitespace or start of container, to detect the "/" trigger. */
-function getWordBeforeCaret(_container: HTMLElement): { word: string; range: Range | null } {
-  const sel = window.getSelection();
-  if (!sel || sel.rangeCount === 0) return { word: '', range: null };
-  const range = sel.getRangeAt(0).cloneRange();
-  range.collapse(true);
-
-  // Walk backwards from caret through the text node
-  const textNode = range.startContainer;
-  if (textNode.nodeType !== Node.TEXT_NODE) return { word: '', range: null };
-  const text = textNode.textContent ?? '';
-  const offset = range.startOffset;
-
-  let start = offset;
-  while (
-    start > 0 &&
-    text[start - 1] !== ' ' &&
-    text[start - 1] !== '\n' &&
-    text[start - 1] !== '\u00A0'
-  ) {
-    start--;
-  }
-
-  const word = text.slice(start, offset);
-  const wordRange = document.createRange();
-  wordRange.setStart(textNode, start);
-  wordRange.setEnd(textNode, offset);
-
-  return { word, range: wordRange };
-}
-
-// ── Component ───────────────────────────────────────────────────────
-
-export interface ParalinguisticInputProps {
-  value?: string;
-  onChange?: (value: string) => void;
-  placeholder?: string;
-  disabled?: boolean;
-  className?: string;
-  style?: React.CSSProperties;
-  onClick?: () => void;
-  onFocus?: () => void;
-}
-
-export interface ParalinguisticInputRef {
-  focus: () => void;
-  element: HTMLDivElement | null;
-}
-
-export const ParalinguisticInput = forwardRef<ParalinguisticInputRef, ParalinguisticInputProps>(
-  function ParalinguisticInput(
-    { value, onChange, placeholder, disabled, className, style, onClick, onFocus },
-    ref,
-  ) {
-    const editorRef = useRef<HTMLDivElement>(null);
-    const [showMenu, setShowMenu] = useState(false);
-    const [menuFilter, setMenuFilter] = useState('');
-    const [menuIndex, setMenuIndex] = useState(0);
-    const [menuPosition, setMenuPosition] = useState<{ bottom: number; left: number }>({
-      bottom: 0,
-      left: 0,
-    });
-    const triggerRangeRef = useRef<Range | null>(null);
-    const lastSerializedRef = useRef<string>('');
-    const isComposingRef = useRef(false);
-
-    useImperativeHandle(ref, () => ({
-      focus: () => editorRef.current?.focus(),
-      element: editorRef.current,
-    }));
-
-    // Filtered tag list for the autocomplete menu
-    const filteredTags = PARALINGUISTIC_TAGS.filter((t) =>
-      t.label.toLowerCase().includes(menuFilter.toLowerCase()),
-    );
-
-    // ── Sync external value → editor ──────────────────────────────
-    useEffect(() => {
-      const el = editorRef.current;
-      if (!el) return;
-      // Only update DOM if the external value differs from what we last emitted
-      if (value !== undefined && value !== lastSerializedRef.current) {
-        lastSerializedRef.current = value;
-        el.innerHTML = value ? textToHTML(value) : '';
-      }
-    }, [value]);
-
-    // ── Emit plain-text value on input ────────────────────────────
-    const emitChange = useCallback(() => {
-      const el = editorRef.current;
-      if (!el || !onChange) return;
-      const text = htmlToText(el);
-      lastSerializedRef.current = text;
-      onChange(text);
-    }, [onChange]);
-
-    // ── Insert a tag badge at the caret ───────────────────────────
-    const insertTag = useCallback(
-      (tag: string) => {
-        const el = editorRef.current;
-        if (!el) return;
-
-        // Delete the /filter text
-        const wordRange = triggerRangeRef.current;
-        if (wordRange) {
-          wordRange.deleteContents();
-        }
-
-        // Insert badge HTML
-        const temp = document.createElement('span');
-        temp.innerHTML = makeBadgeHTML(tag);
-        const frag = document.createDocumentFragment();
-        let lastNode: Node | null = null;
-        while (temp.firstChild) {
-          lastNode = frag.appendChild(temp.firstChild);
-        }
-
-        const sel = window.getSelection();
-        if (sel && sel.rangeCount > 0) {
-          const range = sel.getRangeAt(0);
-          range.deleteContents();
-          range.insertNode(frag);
-
-          // Move caret after the badge
-          if (lastNode) {
-            const newRange = document.createRange();
-            newRange.setStartAfter(lastNode);
-            newRange.collapse(true);
-            sel.removeAllRanges();
-            sel.addRange(newRange);
-          }
-        }
-
-        setShowMenu(false);
-        setMenuFilter('');
-        emitChange();
-        el.focus();
-      },
-      [emitChange],
-    );
-
-    // ── Handle keydown for autocomplete navigation ────────────────
-    const handleKeyDown = useCallback(
-      (e: React.KeyboardEvent) => {
-        if (showMenu) {
-          if (filteredTags.length === 0) {
-            if (e.key === 'Escape') {
-              e.preventDefault();
-              setShowMenu(false);
-            }
-            return;
-          }
-          if (e.key === 'ArrowDown') {
-            e.preventDefault();
-            setMenuIndex((i) => (i + 1) % filteredTags.length);
-          } else if (e.key === 'ArrowUp') {
-            e.preventDefault();
-            setMenuIndex((i) => (i - 1 + filteredTags.length) % filteredTags.length);
-          } else if (e.key === 'Enter' || e.key === 'Tab') {
-            e.preventDefault();
-            if (filteredTags[menuIndex]) {
-              insertTag(filteredTags[menuIndex].tag);
-            }
-          } else if (e.key === 'Escape') {
-            e.preventDefault();
-            setShowMenu(false);
-          }
-        } else {
-          // Prevent Enter from creating <div> blocks in contentEditable
-          if (e.key === 'Enter' && !e.shiftKey) {
-            // Let the form handle submit
-          }
-        }
-      },
-      [showMenu, filteredTags, menuIndex, insertTag],
-    );
-
-    // ── Handle input (check for / trigger) ────────────────────────
-    const handleInput = useCallback(() => {
-      if (isComposingRef.current) return;
-      const el = editorRef.current;
-      if (!el) return;
-
-      const { word, range } = getWordBeforeCaret(el);
-
-      if (word.startsWith('/')) {
-        const filter = word.slice(1); // strip the /
-        setMenuFilter(filter);
-        setMenuIndex(0);
-        triggerRangeRef.current = range;
-
-        // Position the menu above the caret using viewport coords (portalled)
-        const sel = window.getSelection();
-        if (sel && sel.rangeCount > 0) {
-          const rect = sel.getRangeAt(0).getBoundingClientRect();
-          setMenuPosition({
-            bottom: window.innerHeight - rect.top + 4,
-            left: rect.left,
-          });
-        }
-
-        setShowMenu(true);
-      } else {
-        setShowMenu(false);
-      }
-
-      emitChange();
-    }, [emitChange]);
-
-    // ── Handle paste — convert [tag] patterns to badges ───────────
-    const handlePaste = useCallback(
-      (e: React.ClipboardEvent) => {
-        e.preventDefault();
-        const text = e.clipboardData.getData('text/plain');
-        if (!text) return;
-
-        const el = editorRef.current;
-        if (!el) return;
-
-        const html = textToHTML(text);
-
-        // Insert at caret
-        const sel = window.getSelection();
-        if (sel && sel.rangeCount > 0) {
-          const range = sel.getRangeAt(0);
-          range.deleteContents();
-          const temp = document.createElement('div');
-          temp.innerHTML = html;
-          const frag = document.createDocumentFragment();
-          let lastNode: Node | null = null;
-          while (temp.firstChild) {
-            lastNode = frag.appendChild(temp.firstChild);
-          }
-          range.insertNode(frag);
-          if (lastNode) {
-            const newRange = document.createRange();
-            newRange.setStartAfter(lastNode);
-            newRange.collapse(true);
-            sel.removeAllRanges();
-            sel.addRange(newRange);
-          }
-        }
-
-        emitChange();
-      },
-      [emitChange],
-    );
-
-    // ── Show placeholder ──────────────────────────────────────────
-    const isEmpty = !value || value.trim() === '';
-
-    return (
-      <div className="relative">
-        {/* Placeholder */}
-        {isEmpty && placeholder && (
-          <div
-            className="pointer-events-none absolute inset-0 text-sm text-muted-foreground/60 px-3 py-2 select-none"
-            aria-hidden
-          >
-            {placeholder}
-          </div>
-        )}
-
-        {/* Editable area */}
-        <div
-          ref={editorRef}
-          contentEditable={!disabled}
-          suppressContentEditableWarning
-          role={disabled ? undefined : 'textbox'}
-          aria-multiline={disabled ? undefined : true}
-          aria-placeholder={placeholder}
-          aria-disabled={disabled}
-          tabIndex={disabled ? -1 : 0}
-          className={cn(
-            'min-h-[32px] text-sm whitespace-pre-wrap break-words outline-none',
-            '[&_.ptag-badge]:inline-flex [&_.ptag-badge]:items-center [&_.ptag-badge]:rounded-full',
-            '[&_.ptag-badge]:bg-accent/20 [&_.ptag-badge]:text-accent [&_.ptag-badge]:border [&_.ptag-badge]:border-accent/30',
-            '[&_.ptag-badge]:px-2 [&_.ptag-badge]:py-0 [&_.ptag-badge]:text-xs [&_.ptag-badge]:font-medium',
-            '[&_.ptag-badge]:mx-0.5 [&_.ptag-badge]:select-none [&_.ptag-badge]:cursor-default',
-            '[&_.ptag-badge]:align-baseline',
-            disabled && 'opacity-50 cursor-not-allowed',
-            className,
-          )}
-          style={style}
-          onInput={!disabled ? handleInput : undefined}
-          onKeyDown={!disabled ? handleKeyDown : undefined}
-          onPaste={!disabled ? handlePaste : undefined}
-          onClick={!disabled ? onClick : undefined}
-          onFocus={!disabled ? onFocus : undefined}
-          onBlur={() => {
-            setShowMenu(false);
-            triggerRangeRef.current = null;
-          }}
-          onCompositionStart={() => {
-            isComposingRef.current = true;
-          }}
-          onCompositionEnd={() => {
-            isComposingRef.current = false;
-            handleInput();
-          }}
-        />
-
-        {/* Autocomplete dropdown — portalled to body, positioned above the caret */}
-        {showMenu &&
-          filteredTags.length > 0 &&
-          createPortal(
-            <AnimatePresence>
-              <motion.div
-                initial={{ opacity: 0, y: 4 }}
-                animate={{ opacity: 1, y: 0 }}
-                exit={{ opacity: 0, y: 4 }}
-                transition={{ duration: 0.12 }}
-                className="fixed z-[9999] min-w-[200px] max-h-[280px] overflow-y-auto rounded-lg border border-border bg-popover shadow-lg"
-                style={{
-                  bottom: menuPosition.bottom,
-                  left: menuPosition.left,
-                }}
-              >
-                {filteredTags.map((t, i) => (
-                  <button
-                    key={t.tag}
-                    type="button"
-                    className={cn(
-                      'flex items-center gap-2 w-full px-3 py-1.5 text-sm text-left transition-colors',
-                      i === menuIndex
-                        ? 'bg-accent/20 text-accent-foreground'
-                        : 'text-popover-foreground hover:bg-muted/50',
-                    )}
-                    onMouseDown={(e) => {
-                      e.preventDefault(); // Keep focus in editor
-                      insertTag(t.tag);
-                    }}
-                    onMouseEnter={() => setMenuIndex(i)}
-                  >
-                    <span className="text-base leading-none">{t.emoji}</span>
-                    <span>{t.label}</span>
-                    <span className="ml-auto text-xs text-muted-foreground font-mono">{t.tag}</span>
-                  </button>
-                ))}
-              </motion.div>
-            </AnimatePresence>,
-            document.body,
-          )}
-      </div>
-    );
-  },
-);
@@ -1,22 +1,13 @@
-import { useQueryClient } from '@tanstack/react-query';
-import { AnimatePresence, motion } from 'framer-motion';
 import {
-  AlignCenter,
-  AudioLines,
  AudioWaveform,
  Download,
  FileArchive,
  Loader2,
  MoreHorizontal,
  Play,
-  RotateCcw,
-  Star,
  Trash2,
-  Wand2,
 } from 'lucide-react';
 import { useEffect, useRef, useState } from 'react';
-import Loader from 'react-loaders';
-import { EffectsChainEditor } from '@/components/Effects/EffectsChainEditor';
 import { Button } from '@/components/ui/button';
 import {
  Dialog,
@@ -32,17 +23,10 @@ import {
  DropdownMenuItem,
  DropdownMenuTrigger,
 } from '@/components/ui/dropdown-menu';
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from '@/components/ui/select';
 import { Textarea } from '@/components/ui/textarea';
 import { useToast } from '@/components/ui/use-toast';
 import { apiClient } from '@/lib/api/client';
-import type { EffectConfig, GenerationVersionResponse, HistoryResponse } from '@/lib/api/types';
+import type { HistoryResponse } from '@/lib/api/types';
 import { BOTTOM_SAFE_AREA_PADDING } from '@/lib/constants/ui';
 import {
  useDeleteGeneration,
@@ -52,8 +36,7 @@ import {
  useImportGeneration,
 } from '@/lib/hooks/useHistory';
 import { cn } from '@/lib/utils/cn';
-import { formatDate, formatDuration, formatEngineName } from '@/lib/utils/format';
-import { useGenerationStore } from '@/stores/generationStore';
+import { formatDate, formatDuration } from '@/lib/utils/format';
 import { usePlayerStore } from '@/stores/playerStore';

 // OLD TABLE-BASED COMPONENT - REMOVED (can be found in git history)
@@ -71,21 +54,9 @@ export function HistoryTable() {
  const [importDialogOpen, setImportDialogOpen] = useState(false);
  const [selectedFile, setSelectedFile] = useState<File | null>(null);
  const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
-  const [generationToDelete, setGenerationToDelete] = useState<{ id: string; name: string } | null>(
-    null,
-  );
-  const [effectsDialogOpen, setEffectsDialogOpen] = useState(false);
-  const [effectsTargetId, setEffectsTargetId] = useState<string | null>(null);
-  const [effectsTargetVersions, setEffectsTargetVersions] = useState<GenerationVersionResponse[]>(
-    [],
-  );
-  const [effectsSourceVersionId, setEffectsSourceVersionId] = useState<string | null>(null);
-  const [effectsChain, setEffectsChain] = useState<EffectConfig[]>([]);
-  const [applyingEffects, setApplyingEffects] = useState(false);
-  const [expandedVersionsId, setExpandedVersionsId] = useState<string | null>(null);
+  const [generationToDelete, setGenerationToDelete] = useState<{ id: string; name: string } | null>(null);
  const limit = 20;
  const { toast } = useToast();
-  const queryClient = useQueryClient();

  const {
    data: historyData,
@@ -100,7 +71,6 @@ export function HistoryTable() {
  const exportGeneration = useExportGeneration();
  const exportGenerationAudio = useExportGenerationAudio();
  const importGeneration = useImportGeneration();
-  const addPendingGeneration = useGenerationStore((state) => state.addPendingGeneration);
  const setAudioWithAutoPlay = usePlayerStore((state) => state.setAudioWithAutoPlay);
  const restartCurrentAudio = usePlayerStore((state) => state.restartCurrentAudio);
  const currentAudioId = usePlayerStore((state) => state.audioId);
@@ -224,120 +194,6 @@ export function HistoryTable() {
    }
  };

-  const handleRetry = async (generationId: string) => {
-    try {
-      const result = await apiClient.retryGeneration(generationId);
-      addPendingGeneration(result.id);
-      queryClient.invalidateQueries({ queryKey: ['history'] });
-    } catch (error) {
-      toast({
-        title: 'Retry failed',
-        description: error instanceof Error ? error.message : 'Could not retry generation',
-        variant: 'destructive',
-      });
-    }
-  };
-
-  const handleRegenerate = async (generationId: string) => {
-    try {
-      await apiClient.regenerateGeneration(generationId);
-      addPendingGeneration(generationId);
-      queryClient.invalidateQueries({ queryKey: ['history'] });
-    } catch (error) {
-      toast({
-        title: 'Regenerate failed',
-        description: error instanceof Error ? error.message : 'Could not regenerate',
-        variant: 'destructive',
-      });
-    }
-  };
-
-  const handleToggleFavorite = async (generationId: string) => {
-    try {
-      await apiClient.toggleFavorite(generationId);
-      queryClient.invalidateQueries({ queryKey: ['history'] });
-    } catch (error) {
-      toast({
-        title: 'Failed to update favorite',
-        description: error instanceof Error ? error.message : 'Unknown error',
-        variant: 'destructive',
-      });
-    }
-  };
-
-  const handleApplyEffects = (generationId: string) => {
-    const gen = allHistory.find((g) => g.id === generationId);
-    const versions = gen?.versions ?? [];
-    setEffectsTargetId(generationId);
-    setEffectsTargetVersions(versions);
-    // Default to clean/original version (no effects chain)
-    const cleanVersion = versions.find((v) => !v.effects_chain || v.effects_chain.length === 0);
-    setEffectsSourceVersionId(cleanVersion?.id ?? null);
-    setEffectsChain([]);
-    setEffectsDialogOpen(true);
-  };
-
-  const handleApplyEffectsConfirm = async () => {
-    if (!effectsTargetId || effectsChain.length === 0) return;
-    setApplyingEffects(true);
-    try {
-      const newVersion = await apiClient.applyEffectsToGeneration(effectsTargetId, {
-        effects_chain: effectsChain,
-        source_version_id: effectsSourceVersionId ?? undefined,
-        set_as_default: true,
-      });
-      queryClient.invalidateQueries({ queryKey: ['history'] });
-
-      // If the player is currently on this generation, reload with the new version audio
-      if (currentAudioId === effectsTargetId) {
-        const gen = allHistory.find((g) => g.id === effectsTargetId);
-        if (gen) {
-          const versionUrl = apiClient.getVersionAudioUrl(newVersion.id);
-          setAudioWithAutoPlay(
-            versionUrl,
-            effectsTargetId,
-            gen.profile_id,
-            gen.text.substring(0, 50),
-          );
-        }
-      }
-
-      setEffectsDialogOpen(false);
-      toast({ title: 'Effects applied', description: 'A new version has been created.' });
-    } catch (error) {
-      toast({
-        title: 'Failed to apply effects',
-        description: error instanceof Error ? error.message : 'Unknown error',
-        variant: 'destructive',
-      });
-    } finally {
-      setApplyingEffects(false);
-    }
-  };
-
-  const handleSwitchVersion = async (generationId: string, versionId: string) => {
-    try {
-      await apiClient.setDefaultVersion(generationId, versionId);
-      queryClient.invalidateQueries({ queryKey: ['history'] });
-    } catch (error) {
-      toast({
-        title: 'Failed to switch version',
-        description: error instanceof Error ? error.message : 'Unknown error',
-        variant: 'destructive',
-      });
-    }
-  };
-
-  const handlePlayVersion = (
-    generationId: string,
-    versionId: string,
-    text: string,
-    profileId: string,
-  ) => {
-    const audioUrl = apiClient.getVersionAudioUrl(versionId);
-    setAudioWithAutoPlay(audioUrl, generationId, profileId, text.substring(0, 50));
-  };
-
  const handleImportConfirm = () => {
    if (selectedFile) {
      importGeneration.mutate(selectedFile, {
@@ -394,269 +250,101 @@ export function HistoryTable() {
          >
            {history.map((gen) => {
              const isCurrentlyPlaying = currentAudioId === gen.id && isPlaying;
-              const isInProgress = gen.status === 'loading_model' || gen.status === 'generating';
-              const isGenerating = isInProgress;
-              const isFailed = gen.status === 'failed';
-              const isPlayable = !isGenerating && !isFailed;
-              const hasVersions = gen.versions && gen.versions.length > 1;
-              const isVersionsExpanded = expandedVersionsId === gen.id;
              return (
                <div
                  key={gen.id}
                  className={cn(
-                    'border rounded-md bg-card transition-colors text-left w-full',
+                    'flex items-stretch gap-4 h-26 border rounded-md p-3 bg-card hover:bg-muted/70 transition-colors text-left w-full',
                    isCurrentlyPlaying && 'bg-muted/70',
                  )}
-                >
-                  {/* Main row */}
-                  <div
-                    role={isPlayable ? 'button' : undefined}
-                    tabIndex={isPlayable ? 0 : undefined}
-                    className={cn(
-                      'flex items-stretch gap-4 h-26 p-3',
-                      isPlayable && 'hover:bg-muted/70 cursor-pointer rounded-md',
-                      isVersionsExpanded && 'rounded-b-none',
-                    )}
-                    aria-label={
-                      isGenerating
-                        ? `Generating speech for ${gen.profile_name}...`
-                        : isFailed
-                          ? `Generation failed for ${gen.profile_name}`
-                          : isCurrentlyPlaying
-                            ? `Sample from ${gen.profile_name}, ${formatDuration(gen.duration ?? 0)}, ${formatDate(gen.created_at)}. Playing. Press Enter to restart.`
-                            : `Sample from ${gen.profile_name}, ${formatDuration(gen.duration ?? 0)}, ${formatDate(gen.created_at)}. Press Enter to play.`
+                  onMouseDown={(e) => {
+                    // Don't trigger play if clicking on textarea or if text is selected
+                    const target = e.target as HTMLElement;
+                    if (target.closest('textarea') || window.getSelection()?.toString()) {
+                      return;
                    }
-                    onMouseDown={(e) => {
-                      if (!isPlayable) return;
-                      const target = e.target as HTMLElement;
-                      if (target.closest('textarea') || window.getSelection()?.toString()) {
-                        return;
-                      }
-                      handlePlay(gen.id, gen.text, gen.profile_id);
-                    }}
-                    onKeyDown={(e) => {
-                      if (!isPlayable) return;
-                      const target = e.target as HTMLElement;
-                      if (target.closest('textarea') || target.closest('button')) return;
-                      if (e.key === 'Enter' || e.key === ' ') {
-                        e.preventDefault();
-                        handlePlay(gen.id, gen.text, gen.profile_id);
-                      }
-                    }}
-                  >
-                    {/* Status icon */}
-                    <div className="flex items-center shrink-0 w-10 justify-center overflow-hidden">
-                      <div className="scale-50">
-                        <Loader
-                          type={isGenerating ? 'line-scale' : 'line-scale-pulse-out-rapid'}
-                          active={isGenerating || isCurrentlyPlaying}
-                        />
-                      </div>
+                    handlePlay(gen.id, gen.text, gen.profile_id);
+                  }}
+                >
+                  {/* Waveform icon */}
+                  <div className="flex items-center shrink-0">
+                    <AudioWaveform className="h-5 w-5 text-muted-foreground" />
+                  </div>
+
+                  {/* Left side - Meta information */}
+                  <div className="flex flex-col gap-1.5 w-48 shrink-0 justify-center">
+                    <div className="font-medium text-sm truncate" title={gen.profile_name}>
+                      {gen.profile_name}
                    </div>
-
-                    {/* Left side - Meta information */}
-                    <div className="flex flex-col gap-1.5 w-48 shrink-0 justify-center">
-                      <div className="font-medium text-sm truncate" title={gen.profile_name}>
-                        {gen.profile_name}
-                      </div>
-                      <div className="flex items-center gap-2">
-                        <span className="text-xs text-muted-foreground">{gen.language}</span>
-                        <span className="text-xs text-muted-foreground">
-                          {formatEngineName(gen.engine, gen.model_size)}
-                        </span>
-                        {isFailed ? (
-                          <span className="text-xs text-destructive">Failed</span>
-                        ) : !isGenerating ? (
-                          <span className="text-xs text-muted-foreground">
-                            {formatDuration(gen.duration ?? 0)}
-                          </span>
-                        ) : null}
-                      </div>
-                      <div className="text-xs text-muted-foreground">
-                        {isInProgress ? (
-                          <span className="text-accent">
-                            {gen.status === 'loading_model' ? 'Loading model...' : 'Generating...'}
-                          </span>
-                        ) : (
-                          formatDate(gen.created_at)
-                        )}
-                      </div>
+                    <div className="flex items-center gap-2">
+                      <span className="text-xs text-muted-foreground">{gen.language}</span>
+                      <span className="text-xs text-muted-foreground">
+                        {formatDuration(gen.duration)}
+                      </span>
                    </div>
-
-                    {/* Right side - Transcript textarea */}
-                    <div className="flex-1 min-w-0 flex">
-                      <Textarea
-                        value={gen.text}
-                        className="flex-1 resize-none text-sm text-muted-foreground select-text"
-                        readOnly
-                        aria-label={`Transcript for sample from ${gen.profile_name}, ${formatDuration(gen.duration ?? 0)}`}
-                      />
-                    </div>
-
-                    {/* Far right - Actions */}
-                    <div
-                      className="shrink-0 flex flex-col justify-center items-center gap-0.5"
-                      onMouseDown={(e) => e.stopPropagation()}
-                      onClick={(e) => e.stopPropagation()}
-                    >
-                      <Button
-                        variant="ghost"
-                        size="icon"
-                        className={cn(
-                          'h-6 w-6 text-muted-foreground/50 hover:bg-muted-foreground/20 hover:text-muted-foreground',
-                          gen.is_favorited && 'text-accent hover:text-accent',
-                        )}
-                        aria-label={gen.is_favorited ? 'Unfavorite' : 'Favorite'}
-                        onClick={() => handleToggleFavorite(gen.id)}
-                      >
-                        <Star
-                          className="h-2 w-2"
-                          fill={gen.is_favorited ? 'currentColor' : 'none'}
-                        />
-                      </Button>
-                      {hasVersions && (
-                        <Button
-                          variant="ghost"
-                          size="icon"
-                          className={cn(
-                            'h-6 w-6 text-muted-foreground/50 hover:bg-muted-foreground/20 hover:text-muted-foreground',
-                            isVersionsExpanded && 'text-accent hover:text-accent',
-                          )}
-                          aria-label="Toggle versions"
-                          onClick={() => setExpandedVersionsId(isVersionsExpanded ? null : gen.id)}
-                        >
-                          <AudioLines className="h-2 w-2" />
-                        </Button>
-                      )}
-
-                      {isFailed ? (
-                        <Button
-                          variant="ghost"
-                          size="icon"
-                          className="h-6 w-6 text-muted-foreground/50 hover:bg-muted-foreground/20 hover:text-muted-foreground"
-                          aria-label="Retry generation"
-                          onClick={() => handleRetry(gen.id)}
-                        >
-                          <RotateCcw className="h-2 w-2" />
-                        </Button>
-                      ) : (
-                        <>
-                          <DropdownMenu>
-                            <DropdownMenuTrigger asChild>
-                              <Button
-                                variant="ghost"
-                                size="icon"
-                                className="h-6 w-6 text-muted-foreground/50 hover:bg-muted-foreground/20 hover:text-muted-foreground"
-                                aria-label="Actions"
-                                disabled={isGenerating}
-                              >
-                                <MoreHorizontal className="h-2 w-2" />
-                              </Button>
-                            </DropdownMenuTrigger>
-                            <DropdownMenuContent align="end">
-                              <DropdownMenuItem
-                                onClick={() => handlePlay(gen.id, gen.text, gen.profile_id)}
-                              >
-                                <Play className="mr-2 h-4 w-4" />
-                                Play
-                              </DropdownMenuItem>
-                              <DropdownMenuItem
-                                onClick={() => handleDownloadAudio(gen.id, gen.text)}
-                                disabled={exportGenerationAudio.isPending}
-                              >
-                                <Download className="mr-2 h-4 w-4" />
-                                Export Audio
-                              </DropdownMenuItem>
-                              <DropdownMenuItem
-                                onClick={() => handleExportPackage(gen.id, gen.text)}
-                                disabled={exportGeneration.isPending}
-                              >
-                                <FileArchive className="mr-2 h-4 w-4" />
-                                Export Package
-                              </DropdownMenuItem>
-                              <DropdownMenuItem onClick={() => handleApplyEffects(gen.id)}>
-                                <Wand2 className="mr-2 h-4 w-4" />
-                                Apply Effects
-                              </DropdownMenuItem>
-                              <DropdownMenuItem onClick={() => handleRegenerate(gen.id)}>
-                                <RotateCcw className="mr-2 h-4 w-4" />
-                                Regenerate
-                              </DropdownMenuItem>
-                              <DropdownMenuItem
-                                onClick={() => handleDeleteClick(gen.id, gen.profile_name)}
-                                disabled={deleteGeneration.isPending}
-                                // className="text-destructive focus:text-destructive"
-                              >
-                                <Trash2 className="mr-2 h-4 w-4" />
-                                Delete
-                              </DropdownMenuItem>
-                            </DropdownMenuContent>
-                          </DropdownMenu>
-                        </>
-                      )}
+                    <div className="text-xs text-muted-foreground">
+                      {formatDate(gen.created_at)}
                    </div>
                  </div>

-                  {/* Expandable versions panel */}
-                  <AnimatePresence>
-                    {isVersionsExpanded && gen.versions && (
-                      <motion.div
-                        initial={{ height: 0, opacity: 0 }}
-                        animate={{ height: 'auto', opacity: 1 }}
-                        exit={{ height: 0, opacity: 0 }}
-                        transition={{ duration: 0.2, ease: 'easeOut' }}
-                        className="overflow-hidden"
-                      >
-                        <div className="border-t border-border/50">
-                          <div className="divide-y divide-border/40">
-                            {gen.versions.map((v) => {
-                              // Show source provenance when effects were applied to a non-clean version
-                              const sourceVersion = v.source_version_id
-                                ? gen.versions?.find((sv) => sv.id === v.source_version_id)
-                                : null;
-                              const showSource =
-                                sourceVersion &&
-                                sourceVersion.effects_chain &&
-                                sourceVersion.effects_chain.length > 0;
+                  {/* Right side - Transcript textarea */}
+                  <div className="flex-1 min-w-0 flex">
+                    <Textarea
+                      value={gen.text}
+                      className="flex-1 resize-none text-sm text-muted-foreground select-text"
+                      readOnly
+                    />
+                  </div>

-                              return (
-                                <button
-                                  key={v.id}
-                                  type="button"
-                                  className="flex items-center gap-2 w-full h-9 px-3 text-left hover:bg-muted/50 transition-colors"
-                                  onClick={() => {
-                                    handlePlayVersion(gen.id, v.id, gen.text, gen.profile_id);
-                                    if (!v.is_default) {
-                                      handleSwitchVersion(gen.id, v.id);
-                                    }
-                                  }}
-                                >
-                                  <AudioLines className="h-3 w-3 shrink-0 text-muted-foreground" />
-                                  <span className="truncate text-xs font-medium">{v.label}</span>
-                                  {v.effects_chain && v.effects_chain.length > 0 && (
-                                    <span className="text-[10px] text-muted-foreground truncate">
-                                      {v.effects_chain.map((e) => e.type).join(' → ')}
-                                    </span>
-                                  )}
-                                  {showSource && (
-                                    <span className="text-[10px] text-muted-foreground/60 truncate">
-                                      from {sourceVersion.label}
-                                    </span>
-                                  )}
-                                  <span className="flex-1" />
-                                  {v.is_default && (
-                                    <span className="text-[10px] bg-accent/15 text-accent px-1.5 py-0.5 rounded-full">
-                                      active
-                                    </span>
-                                  )}
-                                </button>
-                              );
-                            })}
-                          </div>
-                        </div>
-                      </motion.div>
-                    )}
-                  </AnimatePresence>
+                  {/* Far right - Ellipsis actions */}
+                  <div
+                    className="w-10 shrink-0 flex justify-end"
+                    onMouseDown={(e) => e.stopPropagation()}
+                    onClick={(e) => e.stopPropagation()}
+                  >
+                    <DropdownMenu>
+                      <DropdownMenuTrigger asChild>
+                        <Button
+                          variant="ghost"
+                          size="icon"
+                          className="h-8 w-8"
+                          aria-label="Actions"
+                        >
+                          <MoreHorizontal className="h-4 w-4" />
+                        </Button>
+                      </DropdownMenuTrigger>
+                      <DropdownMenuContent align="end">
+                        <DropdownMenuItem
+                          onClick={() => handlePlay(gen.id, gen.text, gen.profile_id)}
+                        >
+                          <Play className="mr-2 h-4 w-4" />
+                          Play
+                        </DropdownMenuItem>
+                        <DropdownMenuItem
+                          onClick={() => handleDownloadAudio(gen.id, gen.text)}
+                          disabled={exportGenerationAudio.isPending}
+                        >
+                          <Download className="mr-2 h-4 w-4" />
+                          Export Audio
+                        </DropdownMenuItem>
+                        <DropdownMenuItem
+                          onClick={() => handleExportPackage(gen.id, gen.text)}
+                          disabled={exportGeneration.isPending}
+                        >
+                          <FileArchive className="mr-2 h-4 w-4" />
+                          Export Package
+                        </DropdownMenuItem>
+                        <DropdownMenuItem
+                          onClick={() => handleDeleteClick(gen.id, gen.profile_name)}
+                          disabled={deleteGeneration.isPending}
+                          className="text-destructive focus:text-destructive"
+                        >
+                          <Trash2 className="mr-2 h-4 w-4" />
+                          Delete
+                        </DropdownMenuItem>
+                      </DropdownMenuContent>
+                    </DropdownMenu>
+                  </div>
                </div>
              );
            })}
@@ -683,8 +371,7 @@ export function HistoryTable() {
          <DialogHeader>
            <DialogTitle>Delete Generation</DialogTitle>
            <DialogDescription>
-              Are you sure you want to delete this generation from "{generationToDelete?.name}"?
-              This action cannot be undone.
+              Are you sure you want to delete this generation from "{generationToDelete?.name}"? This action cannot be undone.
            </DialogDescription>
          </DialogHeader>
          <DialogFooter>
@@ -738,57 +425,6 @@ export function HistoryTable() {
          </DialogFooter>
        </DialogContent>
      </Dialog>
-
-      <Dialog open={effectsDialogOpen} onOpenChange={setEffectsDialogOpen}>
-        <DialogContent className="max-w-md">
-          <DialogHeader>
-            <DialogTitle>Apply Effects</DialogTitle>
-            <DialogDescription>
-              Configure post-processing effects to apply to this generation. A new version will be
-              created.
-            </DialogDescription>
-          </DialogHeader>
-          {effectsTargetVersions.length > 1 && (
-            <div className="space-y-1.5">
-              <label className="text-xs font-medium text-muted-foreground">Source</label>
-              <Select
-                value={effectsSourceVersionId ?? ''}
-                onValueChange={(val) => setEffectsSourceVersionId(val || null)}
-              >
-                <SelectTrigger className="h-8 text-xs">
-                  <SelectValue placeholder="Select source version" />
-                </SelectTrigger>
-                <SelectContent>
-                  {effectsTargetVersions.map((v) => (
-                    <SelectItem key={v.id} value={v.id} className="text-xs">
-                      {v.label}
-                      {v.effects_chain && v.effects_chain.length > 0 && (
-                        <span className="text-muted-foreground ml-1.5">
-                          ({v.effects_chain.map((e) => e.type).join(' + ')})
-                        </span>
-                      )}
-                    </SelectItem>
-                  ))}
-                </SelectContent>
-              </Select>
-            </div>
-          )}
-          <div className="py-2 max-h-80 overflow-y-auto">
-            <EffectsChainEditor value={effectsChain} onChange={setEffectsChain} />
-          </div>
-          <DialogFooter>
-            <Button variant="outline" onClick={() => setEffectsDialogOpen(false)}>
-              Cancel
-            </Button>
-            <Button
-              onClick={handleApplyEffectsConfirm}
-              disabled={applyingEffects || effectsChain.length === 0}
-            >
-              {applyingEffects ? 'Applying...' : 'Apply'}
-            </Button>
-          </DialogFooter>
-        </DialogContent>
-      </Dialog>
    </div>
  );
 }
@@ -13,7 +13,7 @@ import {
 } from '@/components/ui/dialog';
 import { useToast } from '@/components/ui/use-toast';
 import { ProfileList } from '@/components/VoiceProfiles/ProfileList';
-
+import { BOTTOM_SAFE_AREA_PADDING } from '@/lib/constants/ui';
 import { useImportProfile } from '@/lib/hooks/useProfiles';
 import { cn } from '@/lib/utils/cn';
 import { usePlayerStore } from '@/stores/playerStore';
@@ -77,9 +77,9 @@ export function MainEditor() {

  return (
    // Main view: Profiles top left, Generator bottom left, History right
-    <div className="grid grid-cols-1 lg:grid-cols-2 lg:gap-6 h-full min-h-0 overflow-hidden relative">
+    <div className="grid grid-cols-1 lg:grid-cols-2 gap-6 h-full min-h-0 overflow-hidden relative">
      {/* Left Column */}
-      <div className="flex flex-col min-h-0 overflow-hidden relative lg:overflow-hidden">
+      <div className="flex flex-col min-h-0 overflow-hidden relative">
        {/* Scroll Mask - Always visible, behind content */}
        <div className="absolute top-0 left-0 right-0 h-16 bg-gradient-to-b from-background to-transparent z-0 pointer-events-none" />

@@ -110,7 +110,10 @@ export function MainEditor() {
        {/* Scrollable Content */}
        <div
          ref={scrollRef}
-          className={cn('flex-1 min-h-0 overflow-y-auto pt-14 pb-4', isPlayerVisible && 'lg:pb-32')}
+          className={cn(
+            'flex-1 min-h-0 overflow-y-auto pt-14',
+            isPlayerVisible ? BOTTOM_SAFE_AREA_PADDING : 'pb-4',
+          )}
        >
          <div className="flex flex-col gap-6">
            <div className="shrink-0 flex flex-col">
@@ -120,9 +123,6 @@ export function MainEditor() {
        </div>
      </div>

-      {/* Divider - single column only */}
-      {/* <div className="border-t border-border -my-3 lg:hidden" /> */}
-
      {/* Right Column - History */}
      <div className="flex flex-col min-h-0 overflow-hidden">
        <HistoryTable />
@@ -2,7 +2,7 @@ import { ModelManagement } from '@/components/ServerSettings/ModelManagement';

 export function ModelsTab() {
  return (
-    <div className="h-full flex flex-col">
+    <div className="space-y-4 overflow-y-auto flex flex-col">
      <ModelManagement />
    </div>
  );
@@ -1,12 +1,9 @@
 import { zodResolver } from '@hookform/resolvers/zod';
-import { Loader2, XCircle } from 'lucide-react';
 import { useEffect } from 'react';
 import { useForm } from 'react-hook-form';
 import * as z from 'zod';
-import { Badge } from '@/components/ui/badge';
 import { Button } from '@/components/ui/button';
 import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
-import { Checkbox } from '@/components/ui/checkbox';
 import {
  Form,
  FormControl,
@@ -17,10 +14,10 @@ import {
  FormMessage,
 } from '@/components/ui/form';
 import { Input } from '@/components/ui/input';
+import { Checkbox } from '@/components/ui/checkbox';
 import { useToast } from '@/components/ui/use-toast';
-import { useServerHealth } from '@/lib/hooks/useServer';
-import { usePlatform } from '@/platform/PlatformContext';
 import { useServerStore } from '@/stores/serverStore';
+import { usePlatform } from '@/platform/PlatformContext';

 const connectionSchema = z.object({
  serverUrl: z.string().url('Please enter a valid URL'),
@@ -34,10 +31,7 @@ export function ConnectionForm() {
  const setServerUrl = useServerStore((state) => state.setServerUrl);
  const keepServerRunningOnClose = useServerStore((state) => state.keepServerRunningOnClose);
  const setKeepServerRunningOnClose = useServerStore((state) => state.setKeepServerRunningOnClose);
-  const mode = useServerStore((state) => state.mode);
-  const setMode = useServerStore((state) => state.setMode);
  const { toast } = useToast();
-  const { data: health, isLoading, error: healthError } = useServerHealth();

  const form = useForm<ConnectionFormValues>({
    resolver: zodResolver(connectionSchema),
@@ -55,7 +49,7 @@ export function ConnectionForm() {

  function onSubmit(data: ConnectionFormValues) {
    setServerUrl(data.serverUrl);
-    form.reset(data);
+    form.reset(data); // Reset form state after successful submission
    toast({
      title: 'Server URL updated',
      description: `Connected to ${data.serverUrl}`,
@@ -63,7 +57,7 @@ export function ConnectionForm() {
  }

  return (
-    <Card role="region" aria-label="Server Connection" tabIndex={0}>
+    <Card>
      <CardHeader>
        <CardTitle>Server Connection</CardTitle>
      </CardHeader>
@@ -89,42 +83,10 @@ export function ConnectionForm() {
          </form>
        </Form>

-        {/* Connection status */}
-        <div className="mt-4">
-          {isLoading ? (
-            <div className="flex items-center gap-2">
-              <Loader2 className="h-4 w-4 animate-spin" />
-              <span className="text-sm text-muted-foreground">Checking connection...</span>
-            </div>
-          ) : healthError ? (
-            <div className="flex items-center gap-2">
-              <XCircle className="h-4 w-4 text-destructive" />
-              <span className="text-sm text-destructive">
-                Connection failed: {healthError.message}
-              </span>
-            </div>
-          ) : health ? (
-            <div className="flex flex-wrap gap-2">
-              <Badge
-                variant={health.model_loaded || health.model_downloaded ? 'default' : 'secondary'}
-              >
-                {health.model_loaded || health.model_downloaded ? 'Model Ready' : 'No Model'}
-              </Badge>
-              <Badge variant={health.gpu_available ? 'default' : 'secondary'}>
-                GPU: {health.gpu_available ? 'Available' : 'Not Available'}
-              </Badge>
-              {health.vram_used_mb != null && health.vram_used_mb > 0 && (
-                <Badge variant="outline">VRAM: {health.vram_used_mb.toFixed(0)} MB</Badge>
-              )}
-            </div>
-          ) : null}
-        </div>
-
        <div className="mt-6 pt-6 border-t">
          <div className="flex items-start space-x-3">
            <Checkbox
              id="keepServerRunning"
-              className="mt-[6px]"
              checked={keepServerRunningOnClose}
              onCheckedChange={(checked: boolean) => {
                setKeepServerRunningOnClose(checked);
@@ -153,39 +115,6 @@ export function ConnectionForm() {
            </div>
          </div>
        </div>
-
-        {platform.metadata.isTauri && (
-          <div className="mt-6 pt-6 border-t">
-            <div className="flex items-start space-x-3">
-              <Checkbox
-                id="allowNetworkAccess"
-                className="mt-[6px]"
-                checked={mode === 'remote'}
-                onCheckedChange={(checked: boolean) => {
-                  setMode(checked ? 'remote' : 'local');
-                  toast({
-                    title: 'Setting updated',
-                    description: checked
-                      ? 'Network access enabled. Restart the app to apply.'
-                      : 'Network access disabled. Restart the app to apply.',
-                  });
-                }}
-              />
-              <div className="space-y-1">
-                <label
-                  htmlFor="allowNetworkAccess"
-                  className="text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70 cursor-pointer"
-                >
-                  Allow network access
-                </label>
-                <p className="text-sm text-muted-foreground">
-                  Makes the server accessible from other devices on your network. Restart the app
-                  after changing this setting.
-                </p>
-              </div>
-            </div>
-          </div>
-        )}
      </CardContent>
    </Card>
  );
@@ -1,116 +0,0 @@
-import { Card, CardContent, CardDescription, CardHeader, CardTitle } from '@/components/ui/card';
-import { Checkbox } from '@/components/ui/checkbox';
-import { Slider } from '@/components/ui/slider';
-import { useServerStore } from '@/stores/serverStore';
-
-export function GenerationSettings() {
-  const maxChunkChars = useServerStore((state) => state.maxChunkChars);
-  const setMaxChunkChars = useServerStore((state) => state.setMaxChunkChars);
-  const crossfadeMs = useServerStore((state) => state.crossfadeMs);
-  const setCrossfadeMs = useServerStore((state) => state.setCrossfadeMs);
-  const normalizeAudio = useServerStore((state) => state.normalizeAudio);
-  const setNormalizeAudio = useServerStore((state) => state.setNormalizeAudio);
-  const autoplayOnGenerate = useServerStore((state) => state.autoplayOnGenerate);
-  const setAutoplayOnGenerate = useServerStore((state) => state.setAutoplayOnGenerate);
-
-  return (
-    <Card role="region" aria-label="Generation Settings" tabIndex={0}>
-      <CardHeader>
-        <CardTitle>Generation Settings</CardTitle>
-        <CardDescription>
-          Controls for long text generation. These settings apply to all engines.
-        </CardDescription>
-      </CardHeader>
-      <CardContent>
-        <div className="space-y-6">
-          <div className="space-y-3">
-            <div className="flex items-center justify-between">
-              <label htmlFor="maxChunkChars" className="text-sm font-medium leading-none">
-                Auto-chunking limit
-              </label>
-              <span className="text-sm tabular-nums text-muted-foreground">
-                {maxChunkChars} chars
-              </span>
-            </div>
-            <Slider
-              id="maxChunkChars"
-              value={[maxChunkChars]}
-              onValueChange={([value]) => setMaxChunkChars(value)}
-              min={100}
-              max={5000}
-              step={50}
-              aria-label="Auto-chunking character limit"
-            />
-            <p className="text-sm text-muted-foreground">
-              Long text is split into chunks at sentence boundaries before generating. Lower values
-              can improve quality for long outputs.
-            </p>
-          </div>
-
-          <div className="space-y-3">
-            <div className="flex items-center justify-between">
-              <label htmlFor="crossfadeMs" className="text-sm font-medium leading-none">
-                Chunk crossfade
-              </label>
-              <span className="text-sm tabular-nums text-muted-foreground">
-                {crossfadeMs === 0 ? 'Cut' : `${crossfadeMs}ms`}
-              </span>
-            </div>
-            <Slider
-              id="crossfadeMs"
-              value={[crossfadeMs]}
-              onValueChange={([value]) => setCrossfadeMs(value)}
-              min={0}
-              max={200}
-              step={10}
-              aria-label="Chunk crossfade duration"
-            />
-            <p className="text-sm text-muted-foreground">
-              Blends audio between chunks to smooth transitions. Set to 0 for a hard cut.
-            </p>
-          </div>
-
-          <div className="flex items-start gap-3">
-            <Checkbox
-              id="normalizeAudio"
-              checked={normalizeAudio}
-              onCheckedChange={setNormalizeAudio}
-              className="mt-[6px]"
-            />
-            <div className="space-y-1">
-              <label
-                htmlFor="normalizeAudio"
-                className="text-sm font-medium leading-none cursor-pointer"
-              >
-                Normalize audio
-              </label>
-              <p className="text-sm text-muted-foreground">
-                Adjusts output volume to a consistent level across generations.
-              </p>
-            </div>
-          </div>
-
-          <div className="flex items-start gap-3">
-            <Checkbox
-              id="autoplayOnGenerate"
-              checked={autoplayOnGenerate}
-              onCheckedChange={setAutoplayOnGenerate}
-              className="mt-[6px]"
-            />
-            <div className="space-y-1">
-              <label
-                htmlFor="autoplayOnGenerate"
-                className="text-sm font-medium leading-none cursor-pointer"
-              >
-                Autoplay on generate
-              </label>
-              <p className="text-sm text-muted-foreground">
-                Automatically play audio when a generation completes.
-              </p>
-            </div>
-          </div>
-        </div>
-      </CardContent>
-    </Card>
-  );
-}
@@ -1,369 +0,0 @@
-import { useQuery, useQueryClient } from '@tanstack/react-query';
-import { AlertCircle, Download, Loader2, RotateCw, Trash2 } from 'lucide-react';
-import { useCallback, useEffect, useRef, useState } from 'react';
-import { Button } from '@/components/ui/button';
-import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
-import { Progress } from '@/components/ui/progress';
-import { apiClient } from '@/lib/api/client';
-import type { CudaDownloadProgress } from '@/lib/api/types';
-import { useServerHealth } from '@/lib/hooks/useServer';
-import { usePlatform } from '@/platform/PlatformContext';
-import { useServerStore } from '@/stores/serverStore';
-
-type RestartPhase = 'idle' | 'stopping' | 'waiting' | 'ready';
-
-export function GpuAcceleration() {
-  const platform = usePlatform();
-  const queryClient = useQueryClient();
-  const serverUrl = useServerStore((state) => state.serverUrl);
-  const { data: health } = useServerHealth();
-
-  const [restartPhase, setRestartPhase] = useState<RestartPhase>('idle');
-  const [error, setError] = useState<string | null>(null);
-  const [downloadProgress, setDownloadProgress] = useState<CudaDownloadProgress | null>(null);
-  const healthPollRef = useRef<ReturnType<typeof setInterval> | null>(null);
-
-  // Query CUDA backend status
-  const {
-    data: cudaStatus,
-    isLoading: _cudaStatusLoading,
-    refetch: refetchCudaStatus,
-  } = useQuery({
-    queryKey: ['cuda-status', serverUrl],
-    queryFn: () => apiClient.getCudaStatus(),
-    refetchInterval: (query) => (query.state.status === 'pending' ? false : 10000),
-    retry: 1,
-    enabled: !!health, // Only fetch when backend is reachable
-  });
-
-  // Derived state
-  const isCurrentlyCuda = health?.backend_variant === 'cuda';
-  const cudaAvailable = cudaStatus?.available ?? false;
-  const cudaDownloading = cudaStatus?.downloading ?? false;
-
-  // Clean up health poll on unmount
-  useEffect(() => {
-    return () => {
-      if (healthPollRef.current) {
-        clearInterval(healthPollRef.current);
-        healthPollRef.current = null;
-      }
-    };
-  }, []);
-
-  // SSE progress tracking during download
-  useEffect(() => {
-    if (!cudaDownloading || !serverUrl) {
-      return;
-    }
-
-    const eventSource = new EventSource(`${serverUrl}/backend/cuda-progress`);
-
-    eventSource.onmessage = (event) => {
-      try {
-        const data = JSON.parse(event.data) as CudaDownloadProgress;
-        setDownloadProgress(data);
-
-        if (data.status === 'complete') {
-          eventSource.close();
-          setDownloadProgress(null);
-          refetchCudaStatus();
-        } else if (data.status === 'error') {
-          eventSource.close();
-          setError(data.error || 'Download failed');
-          setDownloadProgress(null);
-          refetchCudaStatus();
-        }
-      } catch (e) {
-        console.error('Error parsing CUDA progress event:', e);
-      }
-    };
-
-    eventSource.onerror = () => {
-      eventSource.close();
-    };
-
-    return () => {
-      eventSource.close();
-    };
-  }, [cudaDownloading, serverUrl, refetchCudaStatus]);
-
-  // Start aggressive health polling during restart
-  const startHealthPolling = useCallback(() => {
-    if (healthPollRef.current) return;
-
-    healthPollRef.current = setInterval(async () => {
-      try {
-        const result = await apiClient.getHealth();
-        if (result.status === 'healthy') {
-          // Server is back up
-          if (healthPollRef.current) {
-            clearInterval(healthPollRef.current);
-            healthPollRef.current = null;
-          }
-          setRestartPhase('ready');
-          // Invalidate all queries to refresh UI
-          queryClient.invalidateQueries();
-          // Reset after a moment
-          setTimeout(() => setRestartPhase('idle'), 2000);
-        }
-      } catch {
-        // Server still down, keep polling
-      }
-    }, 1000);
-  }, [queryClient]);
-
-  const handleDownload = async () => {
-    setError(null);
-    try {
-      await apiClient.downloadCudaBackend();
-      refetchCudaStatus();
-    } catch (e: unknown) {
-      const msg = e instanceof Error ? e.message : 'Failed to start download';
-      if (msg.includes('already downloaded')) {
-        refetchCudaStatus();
-      } else {
-        setError(msg);
-      }
-    }
-  };
-
-  const handleRestart = async () => {
-    setError(null);
-    setRestartPhase('stopping');
-
-    try {
-      setRestartPhase('waiting');
-      startHealthPolling();
-      await platform.lifecycle.restartServer();
-      // Invoke resolved — server is likely ready. Stop polling and refresh.
-      if (healthPollRef.current) {
-        clearInterval(healthPollRef.current);
-        healthPollRef.current = null;
-      }
-      setRestartPhase('ready');
-      queryClient.invalidateQueries();
-      setTimeout(() => setRestartPhase('idle'), 2000);
-    } catch (e: unknown) {
-      setRestartPhase('idle');
-      if (healthPollRef.current) {
-        clearInterval(healthPollRef.current);
-        healthPollRef.current = null;
-      }
-      setError(e instanceof Error ? e.message : 'Restart failed');
-    }
-  };
-
-  const handleSwitchToCpu = async () => {
-    // To switch to CPU: delete the CUDA binary, then restart.
-    // start_server always prefers CUDA if present, so we must remove it first.
-    setError(null);
-    setRestartPhase('stopping');
-
-    try {
-      await apiClient.deleteCudaBackend();
-      setRestartPhase('waiting');
-      startHealthPolling();
-      await platform.lifecycle.restartServer();
-      // Invoke resolved — server is likely ready
-      if (healthPollRef.current) {
-        clearInterval(healthPollRef.current);
-        healthPollRef.current = null;
-      }
-      setRestartPhase('ready');
-      queryClient.invalidateQueries();
-      setTimeout(() => setRestartPhase('idle'), 2000);
-    } catch (e: unknown) {
-      setRestartPhase('idle');
-      if (healthPollRef.current) {
-        clearInterval(healthPollRef.current);
-        healthPollRef.current = null;
-      }
-      setError(e instanceof Error ? e.message : 'Failed to switch to CPU');
-      refetchCudaStatus();
-    }
-  };
-
-  const handleDelete = async () => {
-    setError(null);
-    try {
-      await apiClient.deleteCudaBackend();
-      refetchCudaStatus();
-    } catch (e: unknown) {
-      setError(e instanceof Error ? e.message : 'Failed to delete CUDA backend');
-    }
-  };
-
-  const formatBytes = (bytes: number): string => {
-    if (bytes === 0) return '0 B';
-    const k = 1024;
-    const sizes = ['B', 'KB', 'MB', 'GB'];
-    const i = Math.floor(Math.log(bytes) / Math.log(k));
-    return `${(bytes / k ** i).toFixed(1)} ${sizes[i]}`;
-  };
-
-  // Don't render until health data is available
-  if (!health) return null;
-
-  // If the system already has native GPU (MPS, etc.), only show info - no CUDA needed
-  const hasNativeGpu =
-    health.gpu_available &&
-    !isCurrentlyCuda &&
-    health.gpu_type &&
-    !health.gpu_type.includes('CUDA');
-
-  return (
-    <Card>
-      <CardHeader>
-        <CardTitle>GPU Acceleration</CardTitle>
-      </CardHeader>
-      <CardContent className="space-y-4">
-        {/* GPU status */}
-        <div className="space-y-1">
-          {health.gpu_available && health.gpu_type ? (
-            <>
-              <div className="text-sm font-medium">
-                {health.gpu_type.replace(/^(CUDA|ROCm|MPS|Metal|XPU|DirectML)\s*\((.+)\)$/, '$2') ||
-                  health.gpu_type}
-              </div>
-              <div className="text-sm text-muted-foreground">
-                {health.gpu_type.replace(/\s*\(.+\)$/, '')}
-                {health.vram_used_mb != null && health.vram_used_mb > 0
-                  ? ` \u00b7 ${health.vram_used_mb.toFixed(0)} MB VRAM used`
-                  : ''}
-              </div>
-            </>
-          ) : (
-            <>
-              <div className="text-sm font-medium">CPU</div>
-              <div className="text-sm text-muted-foreground">No GPU acceleration available</div>
-            </>
-          )}
-        </div>
-
-        {/* Native GPU detected - no CUDA download needed */}
-
-        {/* CUDA download section - only show when no GPU is active (native or CUDA) */}
-        {!hasNativeGpu && !isCurrentlyCuda && (
-          <>
-            {/* Download progress (manual download or auto-update) */}
-            {cudaDownloading && downloadProgress && (
-              <div className="space-y-2">
-                <div className="flex items-center justify-between text-sm">
-                  <div className="flex items-center gap-2">
-                    <Loader2 className="h-4 w-4 animate-spin" />
-                    <span>
-                      {downloadProgress.filename ||
-                        (cudaAvailable
-                          ? 'Updating CUDA backend...'
-                          : 'Downloading CUDA backend...')}
-                    </span>
-                  </div>
-                  {downloadProgress.total > 0 && (
-                    <span className="text-muted-foreground">
-                      {downloadProgress.progress.toFixed(1)}%
-                    </span>
-                  )}
-                </div>
-                {downloadProgress.total > 0 && (
-                  <>
-                    <Progress value={downloadProgress.progress} className="h-2" />
-                    <div className="text-xs text-muted-foreground">
-                      {formatBytes(downloadProgress.current)} /{' '}
-                      {formatBytes(downloadProgress.total)}
-                    </div>
-                  </>
-                )}
-              </div>
-            )}
-
-            {/* Restart in progress */}
-            {restartPhase !== 'idle' && (
-              <div className="flex items-center gap-2 p-3 rounded-lg bg-primary/5 border">
-                <Loader2 className="h-4 w-4 animate-spin" />
-                <span className="text-sm">
-                  {restartPhase === 'stopping' && 'Stopping server...'}
-                  {restartPhase === 'waiting' && 'Restarting server...'}
-                  {restartPhase === 'ready' && 'Server restarted successfully!'}
-                </span>
-              </div>
-            )}
-
-            {/* Error display */}
-            {error && (
-              <div className="flex items-center gap-2 text-sm text-destructive">
-                <AlertCircle className="h-4 w-4 shrink-0" />
-                <span>{error}</span>
-              </div>
-            )}
-
-            {/* Actions */}
-            {restartPhase === 'idle' && !cudaDownloading && (
-              <div className="space-y-2">
-                {/* Not downloaded yet - show download button */}
-                {!cudaAvailable && (
-                  <div className="space-y-3">
-                    <p className="text-sm text-muted-foreground">
-                      Download the CUDA backend (~2.4 GB) for NVIDIA GPU acceleration. Requires an
-                      NVIDIA GPU with CUDA support.
-                    </p>
-                    <Button onClick={handleDownload} className="w-full" size="sm">
-                      <Download className="h-4 w-4 mr-2" />
-                      Download CUDA Backend
-                    </Button>
-                  </div>
-                )}
-
-                {/* Downloaded but not active - show switch button */}
-                {cudaAvailable && !isCurrentlyCuda && platform.metadata.isTauri && (
-                  <div className="space-y-3">
-                    <p className="text-sm text-muted-foreground">
-                      CUDA backend is downloaded and ready. Restart the server to enable GPU
-                      acceleration.
-                    </p>
-                    <Button onClick={handleRestart} className="w-full" size="sm">
-                      <RotateCw className="h-4 w-4 mr-2" />
-                      Switch to CUDA Backend
-                    </Button>
-                  </div>
-                )}
-
-                {/* Currently active - show switch back to CPU */}
-                {isCurrentlyCuda && platform.metadata.isTauri && (
-                  <div className="space-y-3">
-                    <p className="text-sm text-muted-foreground">
-                      Running with CUDA GPU acceleration. Switch back to CPU if needed (you can
-                      re-download later).
-                    </p>
-                    <Button
-                      onClick={handleSwitchToCpu}
-                      variant="outline"
-                      className="w-full"
-                      size="sm"
-                    >
-                      <RotateCw className="h-4 w-4 mr-2" />
-                      Switch to CPU Backend
-                    </Button>
-                  </div>
-                )}
-
-                {/* Delete option when downloaded (and not active) */}
-                {cudaAvailable && !isCurrentlyCuda && (
-                  <Button
-                    onClick={handleDelete}
-                    variant="ghost"
-                    className="w-full text-muted-foreground hover:text-destructive"
-                    size="sm"
-                  >
-                    <Trash2 className="h-4 w-4 mr-2" />
-                    Remove CUDA Backend
-                  </Button>
-                )}
-              </div>
-            )}
-          </>
-        )}
-      </CardContent>
-    </Card>
-  );
-}
@@ -3,13 +3,14 @@ import { Badge } from '@/components/ui/badge';
 import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
 import { useServerHealth } from '@/lib/hooks/useServer';
 import { useServerStore } from '@/stores/serverStore';
+import { ModelProgress } from './ModelProgress';

 export function ServerStatus() {
  const { data: health, isLoading, error } = useServerHealth();
  const serverUrl = useServerStore((state) => state.serverUrl);

  return (
-    <Card role="region" aria-label="Server Status" tabIndex={0}>
+    <Card>
      <CardHeader>
        <CardTitle>Server Status</CardTitle>
      </CardHeader>
@@ -19,6 +20,16 @@ export function ServerStatus() {
          <div className="font-mono text-sm">{serverUrl}</div>
        </div>

+        {/* Model download progress */}
+        <div className="space-y-2">
+          <ModelProgress modelName="qwen-tts-1.7B" displayName="Qwen TTS 1.7B" />
+          <ModelProgress modelName="qwen-tts-0.6B" displayName="Qwen TTS 0.6B" />
+          <ModelProgress modelName="whisper-base" displayName="Whisper Base" />
+          <ModelProgress modelName="whisper-small" displayName="Whisper Small" />
+          <ModelProgress modelName="whisper-medium" displayName="Whisper Medium" />
+          <ModelProgress modelName="whisper-large" displayName="Whisper Large" />
+        </div>
+
        {isLoading ? (
          <div className="flex items-center gap-2">
            <Loader2 className="h-4 w-4 animate-spin" />
@@ -11,7 +11,6 @@ export function UpdateStatus() {
  const platform = usePlatform();
  const { status, checkForUpdates, downloadAndInstall, restartAndInstall } = useAutoUpdater(false);
  const [currentVersion, setCurrentVersion] = useState<string>('');
-  const isDev = !import.meta.env?.PROD;

  useEffect(() => {
    platform.metadata
@@ -21,7 +20,7 @@ export function UpdateStatus() {
  }, [platform]);

  return (
-    <Card role="region" aria-label="App Updates" tabIndex={0}>
+    <Card>
      <CardHeader>
        <CardTitle>App Updates</CardTitle>
      </CardHeader>
@@ -29,110 +28,97 @@ export function UpdateStatus() {
        <div className="flex items-center justify-between">
          <div className="space-y-1">
            <div className="text-sm font-medium">Current Version</div>
-            <div className="text-sm text-muted-foreground">
-              v{currentVersion}
-              {isDev ? ' (dev)' : ''}
-            </div>
+            <div className="text-sm text-muted-foreground">v{currentVersion}</div>
          </div>
-          {!isDev && (
-            <Button
-              onClick={checkForUpdates}
-              disabled={status.checking || status.downloading || status.readyToInstall}
-              variant="outline"
-              size="sm"
-            >
-              <RefreshCw className={`h-4 w-4 mr-2 ${status.checking ? 'animate-spin' : ''}`} />
-              Check for Updates
-            </Button>
-          )}
+          <Button
+            onClick={checkForUpdates}
+            disabled={status.checking || status.downloading || status.readyToInstall}
+            variant="outline"
+            size="sm"
+          >
+            <RefreshCw className={`h-4 w-4 mr-2 ${status.checking ? 'animate-spin' : ''}`} />
+            Check for Updates
+          </Button>
        </div>

-        {isDev ? (
-          <div className="text-sm text-muted-foreground">
-            Auto-updates are disabled in development mode.
+        {status.checking && (
+          <div className="flex items-center gap-2 text-sm text-muted-foreground">
+            <RefreshCw className="h-4 w-4 animate-spin" />
+            Checking for updates...
          </div>
-        ) : (
-          <>
-            {status.checking && (
-              <div className="flex items-center gap-2 text-sm text-muted-foreground">
-                <RefreshCw className="h-4 w-4 animate-spin" />
-                Checking for updates...
-              </div>
-            )}
+        )}

-            {status.error && (
-              <div className="flex items-center gap-2 text-sm text-destructive">
-                <AlertCircle className="h-4 w-4" />
-                {status.error}
-              </div>
-            )}
+        {status.error && (
+          <div className="flex items-center gap-2 text-sm text-destructive">
+            <AlertCircle className="h-4 w-4" />
+            {status.error}
+          </div>
+        )}

-            {status.available && !status.downloading && !status.readyToInstall && (
-              <div className="space-y-3 p-4 border rounded-lg bg-primary/5">
-                <div className="flex items-center justify-between">
-                  <div>
-                    <div className="font-semibold">Update Available</div>
-                    <div className="text-sm text-muted-foreground">Version {status.version}</div>
-                  </div>
-                  <Badge>New</Badge>
+        {status.available && !status.downloading && !status.readyToInstall && (
+          <div className="space-y-3 p-4 border rounded-lg bg-primary/5">
+            <div className="flex items-center justify-between">
+              <div>
+                <div className="font-semibold">Update Available</div>
+                <div className="text-sm text-muted-foreground">Version {status.version}</div>
+              </div>
+              <Badge>New</Badge>
+            </div>
+            <Button onClick={downloadAndInstall} className="w-full" size="sm">
+              <Download className="h-4 w-4 mr-2" />
+              Download Update
+            </Button>
+          </div>
+        )}
+
+        {status.downloading && (
+          <div className="space-y-2">
+            <div className="flex items-center justify-between text-sm">
+              <div className="flex items-center gap-2">
+                <Download className="h-4 w-4" />
+                Downloading update...
+              </div>
+              {status.downloadProgress !== undefined && (
+                <span className="text-muted-foreground">{status.downloadProgress}%</span>
+              )}
+            </div>
+            <Progress value={status.downloadProgress} />
+            {status.downloadedBytes !== undefined &&
+              status.totalBytes !== undefined &&
+              status.totalBytes > 0 && (
+                <div className="text-xs text-muted-foreground">
+                  {(status.downloadedBytes / 1024 / 1024).toFixed(1)} MB /{' '}
+                  {(status.totalBytes / 1024 / 1024).toFixed(1)} MB
                </div>
-                <Button onClick={downloadAndInstall} className="w-full" size="sm">
-                  <Download className="h-4 w-4 mr-2" />
-                  Download Update
-                </Button>
-              </div>
-            )}
+              )}
+          </div>
+        )}

-            {status.downloading && (
-              <div className="space-y-2">
-                <div className="flex items-center justify-between text-sm">
-                  <div className="flex items-center gap-2">
-                    <Download className="h-4 w-4" />
-                    Downloading update...
-                  </div>
-                  {status.downloadProgress !== undefined && (
-                    <span className="text-muted-foreground">{status.downloadProgress}%</span>
-                  )}
-                </div>
-                <Progress value={status.downloadProgress} />
-                {status.downloadedBytes !== undefined &&
-                  status.totalBytes !== undefined &&
-                  status.totalBytes > 0 && (
-                    <div className="text-xs text-muted-foreground">
-                      {(status.downloadedBytes / 1024 / 1024).toFixed(1)} MB /{' '}
-                      {(status.totalBytes / 1024 / 1024).toFixed(1)} MB
-                    </div>
-                  )}
-              </div>
-            )}
-
-            {status.readyToInstall && (
-              <div className="space-y-3 p-4 border rounded-lg bg-accent/30 border-accent/50">
-                <div className="flex items-center gap-2">
-                  <div>
-                    <div className="font-semibold">Update Ready to Install</div>
-                    <div className="text-sm text-muted-foreground">
-                      Version {status.version} has been downloaded
-                    </div>
-                  </div>
-                </div>
+        {status.readyToInstall && (
+          <div className="space-y-3 p-4 border rounded-lg bg-accent/30 border-accent/50">
+            <div className="flex items-center gap-2">
+              <div>
+                <div className="font-semibold">Update Ready to Install</div>
                <div className="text-sm text-muted-foreground">
-                  The app needs to restart to complete the installation. You can do this now or
-                  later at your convenience.
+                  Version {status.version} has been downloaded
                </div>
-                <Button onClick={restartAndInstall} className="w-full" size="sm">
-                  <RefreshCw className="h-4 w-4 mr-2" />
-                  Restart Now
-                </Button>
              </div>
-            )}
+            </div>
+            <div className="text-sm text-muted-foreground">
+              The app needs to restart to complete the installation. You can do this now or later at
+              your convenience.
+            </div>
+            <Button onClick={restartAndInstall} className="w-full" size="sm">
+              <RefreshCw className="h-4 w-4 mr-2" />
+              Restart Now
+            </Button>
+          </div>
+        )}

-            {!status.available && !status.checking && !status.error && (
-              <div className="flex items-center gap-2 text-sm text-muted-foreground">
-                You're up to date
-              </div>
-            )}
-          </>
+        {!status.available && !status.checking && !status.error && status.checking === false && (
+          <div className="flex items-center gap-2 text-sm text-muted-foreground">
+            You're up to date
+          </div>
        )}
      </CardContent>
    </Card>
@@ -1,25 +1,17 @@
 import { ConnectionForm } from '@/components/ServerSettings/ConnectionForm';
-import { GenerationSettings } from '@/components/ServerSettings/GenerationSettings';
-import { GpuAcceleration } from '@/components/ServerSettings/GpuAcceleration';
+import { ServerStatus } from '@/components/ServerSettings/ServerStatus';
 import { UpdateStatus } from '@/components/ServerSettings/UpdateStatus';
-import { BOTTOM_SAFE_AREA_PADDING } from '@/lib/constants/ui';
-import { cn } from '@/lib/utils/cn';
 import { usePlatform } from '@/platform/PlatformContext';
-import { usePlayerStore } from '@/stores/playerStore';

 export function ServerTab() {
  const platform = usePlatform();
-  const isPlayerVisible = !!usePlayerStore((state) => state.audioUrl);
  return (
-    <div
-      className={cn('overflow-y-auto flex flex-col', isPlayerVisible && BOTTOM_SAFE_AREA_PADDING)}
-    >
+    <div className="space-y-4 overflow-y-auto flex flex-col">
      <div className="grid gap-4 md:grid-cols-2">
        <ConnectionForm />
-        <GenerationSettings />
-        {platform.metadata.isTauri && <GpuAcceleration />}
-        {platform.metadata.isTauri && <UpdateStatus />}
+        <ServerStatus />
      </div>
+      {platform.metadata.isTauri && <UpdateStatus />}
      <div className="py-8 text-center text-sm text-muted-foreground">
        Created by{' '}
        <a
@@ -1,12 +1,9 @@
 import { Link, useMatchRoute } from '@tanstack/react-router';
-import { AudioLines, Box, Mic, Server, Speaker, Volume2, Wand2 } from 'lucide-react';
-import { useEffect, useState } from 'react';
+import { Box, BookOpen, Loader2, Mic, Server, Speaker, Volume2 } from 'lucide-react';
 import voiceboxLogo from '@/assets/voicebox-logo.png';
 import { cn } from '@/lib/utils/cn';
-import { usePlatform } from '@/platform/PlatformContext';
-import type { UpdateStatus } from '@/platform/types';
+import { useGenerationStore } from '@/stores/generationStore';
 import { usePlayerStore } from '@/stores/playerStore';
-import { version } from '../../package.json';

 interface SidebarProps {
  isMacOS?: boolean;
@@ -14,21 +11,18 @@ interface SidebarProps {

 const tabs = [
  { id: 'main', path: '/', icon: Volume2, label: 'Generate' },
-  { id: 'stories', path: '/stories', icon: AudioLines, label: 'Stories' },
+  { id: 'stories', path: '/stories', icon: BookOpen, label: 'Stories' },
  { id: 'voices', path: '/voices', icon: Mic, label: 'Voices' },
-  { id: 'effects', path: '/effects', icon: Wand2, label: 'Effects' },
  { id: 'audio', path: '/audio', icon: Speaker, label: 'Audio' },
  { id: 'models', path: '/models', icon: Box, label: 'Models' },
  { id: 'server', path: '/server', icon: Server, label: 'Server' },
 ];

 export function Sidebar({ isMacOS }: SidebarProps) {
+  const isGenerating = useGenerationStore((state) => state.isGenerating);
+  const audioUrl = usePlayerStore((state) => state.audioUrl);
+  const isPlayerVisible = !!audioUrl;
  const matchRoute = useMatchRoute();
-  const isPlayerOpen = !!usePlayerStore((s) => s.audioUrl);
-  const platform = usePlatform();
-
-  const [updateStatus, setUpdateStatus] = useState<UpdateStatus>(platform.updater.getStatus());
-  useEffect(() => platform.updater.subscribe(setUpdateStatus), [platform.updater]);

  return (
    <div
@@ -39,72 +33,51 @@ export function Sidebar({ isMacOS }: SidebarProps) {
    >
      {/* Logo */}
      <div className="mb-2">
-        <img
-          src={voiceboxLogo}
-          alt="Voicebox"
-          className="w-12 h-12 object-contain"
-          style={{
-            filter:
-              'drop-shadow(0 0 6px hsl(var(--accent) / 0.5)) drop-shadow(0 0 14px hsl(var(--accent) / 0.35)) drop-shadow(0 0 28px hsl(var(--accent) / 0.2))',
-          }}
-        />
+        <img src={voiceboxLogo} alt="Voicebox" className="w-12 h-12 object-contain" />
      </div>

      {/* Navigation Buttons */}
      <div className="flex flex-col gap-3">
-        {tabs.map((tab, index) => {
+        {tabs.map((tab) => {
          const Icon = tab.icon;
          // For index route, use exact match; for others, use default matching
          const isActive =
-            tab.path === '/' ? matchRoute({ to: '/', exact: true }) : matchRoute({ to: tab.path });
-
-          // Accent fades as buttons get further from the logo
-          const accentOpacity = Math.max(0.08, 0.5 - index * 0.07);
+            tab.path === '/'
+              ? matchRoute({ to: '/', exact: true })
+              : matchRoute({ to: tab.path });

          return (
            <Link
              key={tab.id}
              to={tab.path}
              className={cn(
-                'relative w-12 h-12 rounded-full flex items-center justify-center transition-all duration-200 overflow-hidden',
-                isActive
-                  ? 'bg-white/[0.07] text-foreground shadow-lg backdrop-blur-sm border border-white/[0.08]'
-                  : 'text-muted-foreground hover:bg-muted/50',
+                'w-12 h-12 rounded-full flex items-center justify-center transition-all duration-200',
+                'hover:bg-muted/50',
+                isActive ? 'bg-muted/50 text-foreground shadow-lg' : 'text-muted-foreground',
              )}
              title={tab.label}
              aria-label={tab.label}
            >
-              {isActive && (
-                <div
-                  className="absolute inset-0 rounded-full pointer-events-none"
-                  style={{
-                    maskImage: 'linear-gradient(to bottom, black, transparent 60%)',
-                    WebkitMaskImage: 'linear-gradient(to bottom, black, transparent 60%)',
-                    border: `1px solid hsl(var(--accent) / ${accentOpacity})`,
-                  }}
-                />
-              )}
-              <Icon className="h-5 w-5 relative z-10" />
+              <Icon className="h-5 w-5" />
            </Link>
          );
        })}
      </div>

-      {/* Version */}
-      <div
-        className="mt-auto flex flex-col items-center gap-1.5 transition-all duration-300"
-        style={{ paddingBottom: isPlayerOpen ? '7rem' : undefined }}
-      >
-        <span className="text-[10px] text-muted-foreground/50">v{version}</span>
-        {updateStatus.available && (
-          <Link
-            to="/server"
-            className="text-[9px] font-semibold tracking-wide uppercase px-2 py-0.5 rounded-full bg-accent/15 text-accent hover:bg-accent/25 transition-colors"
-          >
-            Update
-          </Link>
-        )}
-      </div>
+      {/* Spacer to push loader to bottom */}
+      <div className="flex-1" />
+
+      {/* Generation Loader */}
+      {isGenerating && (
+        <div
+          className={cn(
+            'w-full flex items-center justify-center transition-all duration-200',
+            isPlayerVisible ? 'mb-[120px]' : 'mb-0',
+          )}
+        >
+          <Loader2 className="h-6 w-6 text-accent animate-spin" />
+        </div>
+      )}
    </div>
  );
 }
@@ -1,11 +1,8 @@
 import { FloatingGenerateBox } from '@/components/Generation/FloatingGenerateBox';
-import { usePlayerStore } from '@/stores/playerStore';
 import { StoryContent } from './StoryContent';
 import { StoryList } from './StoryList';

 export function StoriesTab() {
-  const audioUrl = usePlayerStore((state) => state.audioUrl);
-
  return (
    <div className="flex flex-col h-full min-h-0 overflow-hidden">
      {/* Main content area */}
@@ -21,7 +18,7 @@ export function StoriesTab() {
        </div>

        {/* Floating Generate Box - position is managed via storyStore.trackEditorHeight */}
-        <FloatingGenerateBox showVoiceSelector isPlayerOpen={!!audioUrl} />
+        <FloatingGenerateBox showVoiceSelector />
      </div>
    </div>
  );
@@ -13,11 +13,8 @@ import {
  sortableKeyboardCoordinates,
  verticalListSortingStrategy,
 } from '@dnd-kit/sortable';
-import { Link } from '@tanstack/react-router';
-import { AnimatePresence, motion } from 'framer-motion';
 import { Download, Plus } from 'lucide-react';
 import { useEffect, useMemo, useRef, useState } from 'react';
-import Loader from 'react-loaders';
 import { Button } from '@/components/ui/button';
 import { Input } from '@/components/ui/input';
 import { Popover, PopoverContent, PopoverTrigger } from '@/components/ui/popover';
@@ -31,7 +28,6 @@ import {
  useStory,
 } from '@/lib/hooks/useStories';
 import { useStoryPlayback } from '@/lib/hooks/useStoryPlayback';
-import { useGenerationStore } from '@/stores/generationStore';
 import { useStoryStore } from '@/stores/storyStore';
 import { SortableStoryChatItem } from './StoryChatItem';

@@ -44,7 +40,6 @@ export function StoryContent() {
  const addStoryItem = useAddStoryItem();
  const { toast } = useToast();
  const scrollRef = useRef<HTMLDivElement>(null);
-  const pendingCount = useGenerationStore((s) => s.pendingGenerationIds.size);

  // Add generation popover state
  const [searchQuery, setSearchQuery] = useState('');
@@ -58,9 +53,9 @@ export function StoryContent() {
    const query = searchQuery.toLowerCase();
    return historyData.items.filter(
      (gen) =>
-        gen.status === 'completed' &&
        !storyGenerationIds.has(gen.id) &&
-        (gen.text.toLowerCase().includes(query) || gen.profile_name.toLowerCase().includes(query)),
+        (gen.text.toLowerCase().includes(query) ||
+          gen.profile_name.toLowerCase().includes(query)),
    );
  }, [historyData, story, searchQuery]);

@@ -272,31 +267,7 @@ export function StoryContent() {
            <p className="text-sm text-muted-foreground mt-1">{story.description}</p>
          )}
        </div>
-        <div className="flex gap-2 items-center">
-          <AnimatePresence>
-            {pendingCount > 0 && (
-              <motion.div
-                initial={{ opacity: 0, scale: 0.9, width: 0 }}
-                animate={{ opacity: 1, scale: 1, width: 'auto' }}
-                exit={{ opacity: 0, scale: 0.9, width: 0 }}
-                transition={{ duration: 0.2 }}
-              >
-                <Link
-                  to="/"
-                  className="flex items-center gap-2 h-8 pl-1.5 pr-3 rounded-full bg-card border border-border hover:bg-muted/50 transition-all duration-200 cursor-pointer"
-                >
-                  <div className="shrink-0 w-10 h-5 overflow-hidden flex items-center justify-center">
-                    <div className="scale-[0.45]">
-                      <Loader type="line-scale" active />
-                    </div>
-                  </div>
-                  <span className="text-xs text-muted-foreground whitespace-nowrap">
-                    Generating {pendingCount} {pendingCount === 1 ? 'audio' : 'audios'}
-                  </span>
-                </Link>
-              </motion.div>
-            )}
-          </AnimatePresence>
+        <div className="flex gap-2">
          <Popover open={isAddOpen} onOpenChange={setIsAddOpen}>
            <PopoverTrigger asChild>
              <Button variant="outline" size="sm">
@@ -316,7 +287,9 @@ export function StoryContent() {
              <div className="max-h-60 overflow-y-auto">
                {availableGenerations.length === 0 ? (
                  <div className="p-4 text-center text-sm text-muted-foreground">
-                    {searchQuery ? 'No matching generations found' : 'No available generations'}
+                    {searchQuery
+                      ? 'No matching generations found'
+                      : 'No available generations'}
                  </div>
                ) : (
                  availableGenerations.map((gen) => (
@@ -1,5 +1,5 @@
-import { BookOpen, MoreHorizontal, Pencil, Plus, Trash2 } from 'lucide-react';
-import { useEffect, useState } from 'react';
+import { Plus, BookOpen, MoreHorizontal, Pencil, Trash2 } from 'lucide-react';
+import { useState } from 'react';
 import {
  AlertDialog,
  AlertDialogAction,
@@ -29,13 +29,7 @@ import { Input } from '@/components/ui/input';
 import { Label } from '@/components/ui/label';
 import { Textarea } from '@/components/ui/textarea';
 import { useToast } from '@/components/ui/use-toast';
-import {
-  useCreateStory,
-  useDeleteStory,
-  useStories,
-  useStory,
-  useUpdateStory,
-} from '@/lib/hooks/useStories';
+import { useStories, useCreateStory, useUpdateStory, useDeleteStory } from '@/lib/hooks/useStories';
 import { cn } from '@/lib/utils/cn';
 import { formatDate } from '@/lib/utils/format';
 import { useStoryStore } from '@/stores/storyStore';
@@ -44,8 +38,6 @@ export function StoryList() {
  const { data: stories, isLoading } = useStories();
  const selectedStoryId = useStoryStore((state) => state.selectedStoryId);
  const setSelectedStoryId = useStoryStore((state) => state.setSelectedStoryId);
-  const trackEditorHeight = useStoryStore((state) => state.trackEditorHeight);
-  const { data: selectedStory } = useStory(selectedStoryId);
  const createStory = useCreateStory();
  const updateStory = useUpdateStory();
  const deleteStory = useDeleteStory();
@@ -62,13 +54,6 @@ export function StoryList() {
  const [newStoryDescription, setNewStoryDescription] = useState('');
  const { toast } = useToast();

-  // Auto-select the first story when the list loads with no selection
-  useEffect(() => {
-    if (!selectedStoryId && stories && stories.length > 0) {
-      setSelectedStoryId(stories[0].id);
-    }
-  }, [selectedStoryId, stories, setSelectedStoryId]);
-
  const handleCreateStory = () => {
    if (!newStoryName.trim()) {
      toast({
@@ -185,29 +170,20 @@ export function StoryList() {
  }

  const storyList = stories || [];
-  const hasTrackEditor = selectedStoryId && selectedStory && selectedStory.items.length > 0;

  return (
-    <div className="h-full flex flex-col relative overflow-hidden">
-      {/* Scroll Mask */}
-      <div className="absolute top-0 left-0 right-0 h-16 bg-gradient-to-b from-background to-transparent z-10 pointer-events-none" />
-
-      {/* Fixed Header */}
-      <div className="absolute top-0 left-0 right-0 z-20">
-        <div className="flex items-center justify-between mb-4 px-1">
-          <h2 className="text-2xl font-bold">Stories</h2>
-          <Button onClick={() => setCreateDialogOpen(true)} size="sm">
-            <Plus className="mr-2 h-4 w-4" />
-            New Story
-          </Button>
-        </div>
+    <div className="flex flex-col h-full min-h-0">
+      {/* Header */}
+      <div className="flex items-center justify-between mb-4 px-1">
+        <h2 className="text-2xl font-bold">Stories</h2>
+        <Button onClick={() => setCreateDialogOpen(true)} size="sm">
+          <Plus className="mr-2 h-4 w-4" />
+          New Story
+        </Button>
      </div>

-      {/* Scrollable Story List */}
-      <div
-        className="flex-1 overflow-y-auto pt-14 relative z-0"
-        style={{ paddingBottom: hasTrackEditor ? `${trackEditorHeight + 140}px` : '170px' }}
-      >
+      {/* Story List */}
+      <div className="flex-1 min-h-0 overflow-y-auto space-y-2">
        {storyList.length === 0 ? (
          <div className="text-center py-12 px-5 border-2 border-dashed border-muted rounded-2xl text-muted-foreground">
            <BookOpen className="h-12 w-12 mx-auto mb-4 opacity-50" />
@@ -215,68 +191,62 @@ export function StoryList() {
            <p className="text-xs mt-2">Create your first story to get started</p>
          </div>
        ) : (
-          <div className="space-y-0.5">
-            {storyList.map((story) => (
-              <div
-                key={story.id}
-                role="button"
-                tabIndex={0}
-                className={cn(
-                  'px-5 py-3 rounded-lg transition-colors group flex items-center cursor-pointer',
-                  selectedStoryId === story.id ? 'bg-muted' : 'hover:bg-muted/50',
-                )}
-                aria-label={`Story ${story.name}, ${story.item_count} ${story.item_count === 1 ? 'item' : 'items'}, ${formatDate(story.updated_at)}`}
-                aria-pressed={selectedStoryId === story.id}
-                onClick={() => setSelectedStoryId(story.id)}
-                onKeyDown={(e) => {
-                  if (e.target !== e.currentTarget) return;
-                  if (e.key === 'Enter' || e.key === ' ') {
-                    e.preventDefault();
-                    setSelectedStoryId(story.id);
-                  }
-                }}
-              >
-                <div className="flex items-start justify-between gap-2 w-full min-w-0">
-                  <div className="flex-1 min-w-0 text-left overflow-hidden">
-                    <h3 className="text-sm font-medium truncate">{story.name}</h3>
-                    <div className="flex items-center gap-2 mt-1 text-xs text-muted-foreground">
-                      <span>
-                        {story.item_count} {story.item_count === 1 ? 'item' : 'items'}
-                      </span>
-                      <span>·</span>
-                      <span>{formatDate(story.updated_at)}</span>
-                    </div>
+          storyList.map((story) => (
+            <div
+              key={story.id}
+              className={cn(
+                'h-24 p-4 border rounded-2xl transition-colors group flex items-center',
+                selectedStoryId === story.id && 'bg-muted border-primary',
+              )}
+            >
+              <div className="flex items-start justify-between gap-2 w-full min-w-0">
+                <button
+                  type="button"
+                  className="flex-1 min-w-0 text-left cursor-pointer overflow-hidden"
+                  onClick={() => setSelectedStoryId(story.id)}
+                >
+                  <h3 className="font-medium truncate">{story.name}</h3>
+                  {story.description && (
+                    <p className="text-sm text-muted-foreground mt-1 truncate">
+                      {story.description}
+                    </p>
+                  )}
+                  <div className="flex items-center gap-3 mt-2 text-xs text-muted-foreground">
+                    <span>
+                      {story.item_count} {story.item_count === 1 ? 'item' : 'items'}
+                    </span>
+                    <span>•</span>
+                    <span>{formatDate(story.updated_at)}</span>
                  </div>
-                  <DropdownMenu>
-                    <DropdownMenuTrigger asChild>
-                      <Button
-                        variant="ghost"
-                        size="icon"
-                        className="h-7 w-7 opacity-0 group-hover:opacity-100 transition-opacity"
-                        onClick={(e) => e.stopPropagation()}
-                        aria-label={`Actions for ${story.name}`}
-                      >
-                        <MoreHorizontal className="h-3.5 w-3.5" />
-                      </Button>
-                    </DropdownMenuTrigger>
-                    <DropdownMenuContent align="end">
-                      <DropdownMenuItem onClick={() => handleEditClick(story)}>
-                        <Pencil className="mr-2 h-4 w-4" />
-                        Edit
-                      </DropdownMenuItem>
-                      <DropdownMenuItem
-                        onClick={() => handleDeleteClick(story.id)}
-                        className="text-destructive focus:text-destructive"
-                      >
-                        <Trash2 className="mr-2 h-4 w-4" />
-                        Delete
-                      </DropdownMenuItem>
-                    </DropdownMenuContent>
-                  </DropdownMenu>
-                </div>
+                </button>
+                <DropdownMenu>
+                  <DropdownMenuTrigger asChild>
+                    <Button
+                      variant="ghost"
+                      size="icon"
+                      className="h-8 w-8 opacity-0 group-hover:opacity-100 transition-opacity"
+                      onClick={(e) => e.stopPropagation()}
+                    >
+                      <MoreHorizontal className="h-4 w-4" />
+                    </Button>
+                  </DropdownMenuTrigger>
+                  <DropdownMenuContent align="end">
+                    <DropdownMenuItem onClick={() => handleEditClick(story)}>
+                      <Pencil className="mr-2 h-4 w-4" />
+                      Edit
+                    </DropdownMenuItem>
+                    <DropdownMenuItem
+                      onClick={() => handleDeleteClick(story.id)}
+                      className="text-destructive focus:text-destructive"
+                    >
+                      <Trash2 className="mr-2 h-4 w-4" />
+                      Delete
+                    </DropdownMenuItem>
+                  </DropdownMenuContent>
+                </DropdownMenu>
              </div>
-            ))}
-          </div>
+            </div>
+          ))
        )}
      </div>

@@ -1,7 +1,5 @@
 import {
-  Check,
  Copy,
-  GalleryVerticalEnd,
  GripHorizontal,
  Minus,
  Pause,
@@ -14,12 +12,6 @@ import {
 import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
 import WaveSurfer from 'wavesurfer.js';
 import { Button } from '@/components/ui/button';
-import {
-  DropdownMenu,
-  DropdownMenuContent,
-  DropdownMenuItem,
-  DropdownMenuTrigger,
-} from '@/components/ui/dropdown-menu';
 import { useToast } from '@/components/ui/use-toast';
 import { apiClient } from '@/lib/api/client';
 import type { StoryItemDetail } from '@/lib/api/types';
@@ -27,7 +19,6 @@ import {
  useDuplicateStoryItem,
  useMoveStoryItem,
  useRemoveStoryItem,
-  useSetStoryItemVersion,
  useSplitStoryItem,
  useTrimStoryItem,
 } from '@/lib/hooks/useStories';
@@ -37,14 +28,12 @@ import { useStoryStore } from '@/stores/storyStore';
 // Clip waveform component with trim support
 function ClipWaveform({
  generationId,
-  versionId,
  width,
  trimStartMs,
  trimEndMs,
  duration,
 }: {
  generationId: string;
-  versionId?: string;
  width: number;
  trimStartMs: number;
  trimEndMs: number;
@@ -90,9 +79,7 @@ function ClipWaveform({

    wavesurferRef.current = wavesurfer;

-    const audioUrl = versionId
-      ? apiClient.getVersionAudioUrl(versionId)
-      : apiClient.getAudioUrl(generationId);
+    const audioUrl = apiClient.getAudioUrl(generationId);
    wavesurfer.load(audioUrl).catch(() => {
      // Ignore load errors
    });
@@ -101,7 +88,7 @@ function ClipWaveform({
      wavesurfer.destroy();
      wavesurferRef.current = null;
    };
-  }, [generationId, versionId, fullWaveformWidth]);
+  }, [generationId, fullWaveformWidth]);

  return (
    <div className="w-full h-full opacity-60 overflow-hidden">
@@ -148,57 +135,12 @@ export function StoryTrackEditor({ storyId, items }: StoryTrackEditorProps) {
  const splitItem = useSplitStoryItem();
  const duplicateItem = useDuplicateStoryItem();
  const removeItem = useRemoveStoryItem();
-  const setItemVersion = useSetStoryItemVersion();
  const { toast } = useToast();

  // Selection state
  const selectedClipId = useStoryStore((state) => state.selectedClipId);
  const setSelectedClipId = useStoryStore((state) => state.setSelectedClipId);

-  // Selected clip item (for version picker)
-  const selectedItem = useMemo(
-    () => (selectedClipId ? items.find((i) => i.id === selectedClipId) : undefined),
-    [selectedClipId, items],
-  );
-  const selectedItemVersions = selectedItem?.versions;
-  const hasMultipleVersions = selectedItemVersions && selectedItemVersions.length > 1;
-
-  // Determine which version label is active for the selected clip
-  const activeVersionLabel = useMemo(() => {
-    if (!selectedItem || !selectedItemVersions) return null;
-    // If the item has a pinned version_id, find its label
-    if (selectedItem.version_id) {
-      const pinned = selectedItemVersions.find((v) => v.id === selectedItem.version_id);
-      return pinned?.label ?? null;
-    }
-    // Otherwise use the generation's default version
-    const defaultVersion = selectedItemVersions.find((v) => v.is_default);
-    return defaultVersion?.label ?? null;
-  }, [selectedItem, selectedItemVersions]);
-
-  const handleSetVersion = useCallback(
-    (versionId: string | null) => {
-      if (!selectedClipId) return;
-      setItemVersion.mutate(
-        {
-          storyId,
-          itemId: selectedClipId,
-          data: { version_id: versionId },
-        },
-        {
-          onError: (error) => {
-            toast({
-              title: 'Failed to set version',
-              description: error instanceof Error ? error.message : String(error),
-              variant: 'destructive',
-            });
-          },
-        },
-      );
-    },
-    [selectedClipId, storyId, setItemVersion, toast],
-  );
-
  // Trim state
  const [trimmingItem, setTrimmingItem] = useState<string | null>(null);
  const [trimSide, setTrimSide] = useState<'start' | 'end' | null>(null);
@@ -794,7 +736,6 @@ export function StoryTrackEditor({ storyId, items }: StoryTrackEditorProps) {
              className="h-7 w-7"
              onClick={handlePlayPause}
              title="Play/Pause (Space)"
-              aria-label={isCurrentlyPlaying ? 'Pause' : 'Play'}
            >
              {isCurrentlyPlaying ? <Pause className="h-4 w-4" /> : <Play className="h-4 w-4" />}
            </Button>
@@ -804,7 +745,6 @@ export function StoryTrackEditor({ storyId, items }: StoryTrackEditorProps) {
              className="h-7 w-7"
              onClick={handleStop}
              disabled={!isCurrentlyPlaying}
-              aria-label="Stop"
            >
              <Square className="h-3 w-3" />
            </Button>
@@ -822,7 +762,6 @@ export function StoryTrackEditor({ storyId, items }: StoryTrackEditorProps) {
                className="h-7 w-7"
                onClick={handleSplit}
                title="Split at playhead (S)"
-                aria-label="Split at playhead"
              >
                <Scissors className="h-4 w-4" />
              </Button>
@@ -832,7 +771,6 @@ export function StoryTrackEditor({ storyId, items }: StoryTrackEditorProps) {
                className="h-7 w-7"
                onClick={handleDuplicate}
                title="Duplicate (Cmd/Ctrl+D)"
-                aria-label="Duplicate clip"
              >
                <Copy className="h-4 w-4" />
              </Button>
@@ -842,75 +780,19 @@ export function StoryTrackEditor({ storyId, items }: StoryTrackEditorProps) {
                className="h-7 w-7"
                onClick={handleDelete}
                title="Delete (Delete/Backspace)"
-                aria-label="Delete clip"
              >
                <Trash2 className="h-4 w-4" />
              </Button>
-              {hasMultipleVersions && (
-                <>
-                  <div className="w-px h-4 bg-border mx-1" />
-                  <DropdownMenu>
-                    <DropdownMenuTrigger asChild>
-                      <Button
-                        variant="ghost"
-                        className="h-7 gap-1.5 px-2 text-xs"
-                        title="Change version/take"
-                      >
-                        <GalleryVerticalEnd className="h-3.5 w-3.5" />
-                        <span className="max-w-[80px] truncate">
-                          {activeVersionLabel ?? 'default'}
-                        </span>
-                      </Button>
-                    </DropdownMenuTrigger>
-                    <DropdownMenuContent align="center" className="min-w-[160px]">
-                      {selectedItemVersions.map((version) => {
-                        const isActive = selectedItem?.version_id
-                          ? version.id === selectedItem.version_id
-                          : version.is_default;
-                        return (
-                          <DropdownMenuItem
-                            key={version.id}
-                            onClick={() => handleSetVersion(version.id)}
-                            className="gap-2 text-xs"
-                          >
-                            <Check
-                              className={cn('h-3 w-3', isActive ? 'opacity-100' : 'opacity-0')}
-                            />
-                            <span className="truncate">{version.label}</span>
-                            {version.effects_chain && version.effects_chain.length > 0 && (
-                              <span className="text-muted-foreground ml-auto text-[10px]">
-                                {version.effects_chain.length} fx
-                              </span>
-                            )}
-                          </DropdownMenuItem>
-                        );
-                      })}
-                    </DropdownMenuContent>
-                  </DropdownMenu>
-                </>
-              )}
            </div>
          )}

          {/* Zoom controls - right side */}
          <div className="flex items-center gap-2">
            <span className="text-xs text-muted-foreground">Zoom:</span>
-            <Button
-              variant="ghost"
-              size="icon"
-              className="h-6 w-6"
-              onClick={handleZoomOut}
-              aria-label="Zoom out"
-            >
+            <Button variant="ghost" size="icon" className="h-6 w-6" onClick={handleZoomOut}>
              <Minus className="h-3 w-3" />
            </Button>
-            <Button
-              variant="ghost"
-              size="icon"
-              className="h-6 w-6"
-              onClick={handleZoomIn}
-              aria-label="Zoom in"
-            >
+            <Button variant="ghost" size="icon" className="h-6 w-6" onClick={handleZoomIn}>
              <Plus className="h-3 w-3" />
            </Button>
          </div>
@@ -1059,7 +941,6 @@ export function StoryTrackEditor({ storyId, items }: StoryTrackEditorProps) {
                      <div className="absolute inset-0 top-3">
                        <ClipWaveform
                          generationId={item.generation_id}
-                          versionId={item.version_id}
                          width={clipWidth}
                          trimStartMs={displayTrimStart}
                          trimEndMs={displayTrimEnd}
@@ -1,7 +1,8 @@
-const isWindows = navigator.userAgent.includes('Windows');
-
 export function TitleBarDragRegion() {
-  if (isWindows) return null;
-
-  return <div data-tauri-drag-region className="fixed top-0 left-0 right-0 h-12 z-[9999]" />;
+  return (
+    <div
+      data-tauri-drag-region
+      className="fixed top-0 left-0 right-0 h-12 z-[9999]"
+    />
+  );
 }
@@ -58,7 +58,6 @@ export function AudioSampleRecording({
  // Request microphone access when component mounts
  useEffect(() => {
    if (!showWaveform) return;
-    if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) return;

    let stream: MediaStream | null = null;

@@ -140,13 +139,7 @@ export function AudioSampleRecording({
              </div>
              <p className="text-sm text-muted-foreground text-center">File: {file.name}</p>
              <div className="flex gap-2">
-                <Button
-                  type="button"
-                  size="icon"
-                  variant="outline"
-                  onClick={onPlayPause}
-                  aria-label={isPlaying ? 'Pause' : 'Play'}
-                >
+                <Button type="button" size="icon" variant="outline" onClick={onPlayPause}>
                  {isPlaying ? <Pause className="h-4 w-4" /> : <Play className="h-4 w-4" />}
                </Button>
                <Button
@@ -77,13 +77,7 @@ export function AudioSampleSystem({
              </div>
              <p className="text-sm text-muted-foreground text-center">File: {file.name}</p>
              <div className="flex gap-2">
-                <Button
-                  type="button"
-                  size="icon"
-                  variant="outline"
-                  onClick={onPlayPause}
-                  aria-label={isPlaying ? 'Pause' : 'Play'}
-                >
+                <Button type="button" size="icon" variant="outline" onClick={onPlayPause}>
                  {isPlaying ? <Pause className="h-4 w-4" /> : <Play className="h-4 w-4" />}
                </Button>
                <Button
@@ -110,7 +110,6 @@ export function AudioSampleUpload({
                    variant="outline"
                    onClick={onPlayPause}
                    disabled={isValidating}
-                    aria-label={isPlaying ? 'Pause' : 'Play'}
                  >
                    {isPlaying ? <Pause className="h-4 w-4" /> : <Play className="h-4 w-4" />}
                  </Button>
@@ -1,4 +1,4 @@
-import { Download, Edit, Sparkles, Trash2 } from 'lucide-react';
+import { Download, Edit, Mic, Trash2 } from 'lucide-react';
 import { useState } from 'react';
 import { Badge } from '@/components/ui/badge';
 import { Button } from '@/components/ui/button';
@@ -15,6 +15,7 @@ import {
 import type { VoiceProfileResponse } from '@/lib/api/types';
 import { useDeleteProfile, useExportProfile } from '@/lib/hooks/useProfiles';
 import { cn } from '@/lib/utils/cn';
+import { useServerStore } from '@/stores/serverStore';
 import { useUIStore } from '@/stores/uiStore';

 interface ProfileCardProps {
@@ -23,16 +24,19 @@ interface ProfileCardProps {

 export function ProfileCard({ profile }: ProfileCardProps) {
  const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
-
+  const [avatarError, setAvatarError] = useState(false);
  const deleteProfile = useDeleteProfile();
  const exportProfile = useExportProfile();
  const setEditingProfileId = useUIStore((state) => state.setEditingProfileId);
  const setProfileDialogOpen = useUIStore((state) => state.setProfileDialogOpen);
  const selectedProfileId = useUIStore((state) => state.selectedProfileId);
  const setSelectedProfileId = useUIStore((state) => state.setSelectedProfileId);
+  const serverUrl = useServerStore((state) => state.serverUrl);

  const isSelected = selectedProfileId === profile.id;

+  const avatarUrl = profile.avatar_path ? `${serverUrl}/profiles/${profile.id}/avatar` : null;
+
  const handleSelect = () => {
    setSelectedProfileId(isSelected ? null : profile.id);
  };
@@ -57,35 +61,32 @@ export function ProfileCard({ profile }: ProfileCardProps) {
    exportProfile.mutate(profile.id);
  };

-  const handleKeyDown = (e: React.KeyboardEvent) => {
-    const target = e.target as HTMLElement;
-    if (target.closest('button')) return;
-    if (e.key === 'Enter' || e.key === ' ') {
-      e.preventDefault();
-      handleSelect();
-    }
-  };
-
-  const selectLabel = isSelected
-    ? `${profile.name}, ${profile.language}. Selected as voice for generation.`
-    : `${profile.name}, ${profile.language}. Select as voice for generation.`;
-
  return (
    <>
      <Card
        className={cn(
-          'cursor-pointer hover:shadow-md transition-all flex flex-col h-[162px]',
-          isSelected && 'ring-2 ring-accent shadow-md',
+          'cursor-pointer hover:shadow-md transition-all flex flex-col',
+          isSelected && 'ring-2 ring-primary shadow-md',
        )}
        onClick={handleSelect}
-        tabIndex={0}
-        role="button"
-        aria-label={selectLabel}
-        aria-pressed={isSelected}
-        onKeyDown={handleKeyDown}
      >
        <CardHeader className="p-3 pb-2">
-          <CardTitle className="text-base font-medium">
+          <CardTitle className="flex items-center gap-1.5 text-base font-medium">
+            <div className="h-6 w-6 rounded-full bg-muted flex items-center justify-center shrink-0 overflow-hidden">
+              {avatarUrl && !avatarError ? (
+                <img
+                  src={avatarUrl}
+                  alt={`${profile.name} avatar`}
+                  className={cn(
+                    'h-full w-full object-cover transition-all duration-200',
+                    !isSelected && 'grayscale',
+                  )}
+                  onError={() => setAvatarError(true)}
+                />
+              ) : (
+                <Mic className="h-3.5 w-3.5 text-muted-foreground" />
+              )}
+            </div>
            <span className="break-words">{profile.name}</span>
          </CardTitle>
        </CardHeader>
@@ -93,13 +94,10 @@ export function ProfileCard({ profile }: ProfileCardProps) {
          <p className="text-xs text-muted-foreground mb-1.5 line-clamp-2 leading-relaxed">
            {profile.description || 'No description'}
          </p>
-          <div className="mb-2 flex items-center gap-1.5">
+          <div className="mb-2">
            <Badge variant="outline" className="text-xs h-5 px-1.5 text-muted-foreground">
              {profile.language}
            </Badge>
-            {profile.effects_chain && profile.effects_chain.length > 0 && (
-              <Sparkles className="h-3.5 w-3.5 text-accent fill-accent" />
-            )}
          </div>
          <div className="flex gap-0.5 justify-end items-end mt-auto">
            <CircleButton
@@ -3,7 +3,6 @@ import { Edit2, Mic, Monitor, Upload, X } from 'lucide-react';
 import { useEffect, useRef, useState } from 'react';
 import { useForm } from 'react-hook-form';
 import * as z from 'zod';
-import { EffectsChainEditor } from '@/components/Effects/EffectsChainEditor';
 import { Button } from '@/components/ui/button';
 import {
  Dialog,
@@ -31,8 +30,6 @@ import {
 import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
 import { Textarea } from '@/components/ui/textarea';
 import { useToast } from '@/components/ui/use-toast';
-import { apiClient } from '@/lib/api/client';
-import type { EffectConfig } from '@/lib/api/types';
 import { LANGUAGE_CODES, LANGUAGE_OPTIONS, type LanguageCode } from '@/lib/constants/languages';
 import { useAudioPlayer } from '@/lib/hooks/useAudioPlayer';
 import { useAudioRecording } from '@/lib/hooks/useAudioRecording';
@@ -46,7 +43,7 @@ import {
 } from '@/lib/hooks/useProfiles';
 import { useSystemAudioCapture } from '@/lib/hooks/useSystemAudioCapture';
 import { useTranscription } from '@/lib/hooks/useTranscription';
-import { convertToWav, formatAudioDuration, getAudioDuration } from '@/lib/utils/audio';
+import { formatAudioDuration, getAudioDuration } from '@/lib/utils/audio';
 import { usePlatform } from '@/platform/PlatformContext';
 import { useServerStore } from '@/stores/serverStore';
 import { type ProfileFormDraft, useUIStore } from '@/stores/uiStore';
@@ -128,8 +125,6 @@ export function ProfileForm() {
  const { isPlaying, playPause, cleanup: cleanupAudio } = useAudioPlayer();
  const isCreating = !editingProfileId;
  const serverUrl = useServerStore((state) => state.serverUrl);
-  const [profileEffectsChain, setProfileEffectsChain] = useState<EffectConfig[]>([]);
-  const [effectsDirty, setEffectsDirty] = useState(false);

  const form = useForm<ProfileFormValues>({
    resolver: zodResolver(profileSchema),
@@ -285,8 +280,6 @@ export function ProfileForm() {
        referenceText: undefined,
        avatarFile: undefined,
      });
-      setProfileEffectsChain(editingProfile.effects_chain ?? []);
-      setEffectsDirty(false);
    } else if (profileFormDraft && open) {
      // Restore from draft when opening in create mode
      form.reset({
@@ -442,24 +435,6 @@ export function ProfileForm() {
          }
        }

-        // Save effects chain if changed
-        if (effectsDirty) {
-          try {
-            await apiClient.updateProfileEffects(
-              editingProfileId,
-              profileEffectsChain.length > 0 ? profileEffectsChain : null,
-            );
-          } catch (fxError) {
-            toast({
-              title: 'Effects update failed',
-              description:
-                fxError instanceof Error ? fxError.message : 'Failed to save effects chain',
-              variant: 'destructive',
-            });
-            return;
-          }
-        }
-
        toast({
          title: 'Voice updated',
          description: `"${data.name}" has been updated successfully.`,
@@ -530,23 +505,10 @@ export function ProfileForm() {
          language: data.language,
        });

-        // Convert non-WAV uploads to WAV so the backend can always use soundfile.
-        // Recorded audio is already WAV (from useAudioRecording's convertToWav call).
-        let fileToUpload: File = sampleFile;
-        if (!sampleFile.type.includes('wav') && !sampleFile.name.toLowerCase().endsWith('.wav')) {
-          try {
-            const wavBlob = await convertToWav(sampleFile);
-            const wavName = sampleFile.name.replace(/\.[^.]+$/, '.wav');
-            fileToUpload = new File([wavBlob], wavName, { type: 'audio/wav' });
-          } catch {
-            // If browser can't decode the format, send the original and let the backend try.
-          }
-        }
-
        try {
          await addSample.mutateAsync({
            profileId: profile.id,
-            file: fileToUpload,
+            file: sampleFile,
            referenceText: referenceText,
          });

@@ -923,23 +885,6 @@ export function ProfileForm() {
                      </FormItem>
                    )}
                  />
-
-                  {editingProfileId && (
-                    <div className="space-y-2">
-                      <FormLabel>Default Effects</FormLabel>
-                      <p className="text-xs text-muted-foreground">
-                        Effects applied automatically to all new generations with this voice.
-                      </p>
-                      <EffectsChainEditor
-                        value={profileEffectsChain}
-                        onChange={(chain) => {
-                          setProfileEffectsChain(chain);
-                          setEffectsDirty(true);
-                        }}
-                        compact
-                      />
-                    </div>
-                  )}
                </div>
              </div>

@@ -41,11 +41,9 @@ export function ProfileList() {
            </CardContent>
          </Card>
        ) : (
-          <div className="flex gap-4 overflow-x-auto p-1 pb-1 lg:grid lg:grid-cols-3 lg:auto-rows-auto lg:overflow-x-visible lg:pb-[150px]">
+          <div className="grid gap-4 grid-cols-3 auto-rows-auto p-1 pb-[150px]">
            {allProfiles.map((profile) => (
-              <div key={profile.id} className="shrink-0 w-[200px] lg:w-auto lg:shrink">
-                <ProfileCard profile={profile} />
-              </div>
+              <ProfileCard key={profile.id} profile={profile} />
            ))}
          </div>
        )}
@@ -102,7 +102,6 @@ function MiniSamplePlayer({ audioUrl }: MiniSamplePlayerProps) {
          className="h-7 w-7 shrink-0"
          onClick={handlePlayPause}
          disabled={isLoading}
-          aria-label={isPlaying ? 'Pause sample' : 'Play sample'}
        >
          {isPlaying ? <Pause className="h-3.5 w-3.5" /> : <Play className="h-3.5 w-3.5 ml-0.5" />}
        </Button>
@@ -114,8 +113,6 @@ function MiniSamplePlayer({ audioUrl }: MiniSamplePlayerProps) {
            max={100}
            step={0.1}
            className="flex-1"
-            aria-label="Sample playback position"
-            aria-valuetext={`${formatAudioDuration(currentTime)} of ${formatAudioDuration(duration)}`}
          />
          <div className="flex items-center gap-1 text-xs text-muted-foreground shrink-0 min-w-[70px]">
            <span className="font-mono">{formatAudioDuration(currentTime)}</span>
@@ -131,7 +128,6 @@ function MiniSamplePlayer({ audioUrl }: MiniSamplePlayerProps) {
          className="h-7 w-7 shrink-0"
          onClick={handleStop}
          title="Stop"
-          aria-label="Stop playback"
        >
          <X className="h-3.5 w-3.5" />
        </Button>
@@ -1,340 +0,0 @@
-import { zodResolver } from '@hookform/resolvers/zod';
-import { Edit2, Mic, X } from 'lucide-react';
-import { useEffect, useRef, useState } from 'react';
-import { useForm } from 'react-hook-form';
-import * as z from 'zod';
-import { EffectsChainEditor } from '@/components/Effects/EffectsChainEditor';
-import { Button } from '@/components/ui/button';
-import {
-  Form,
-  FormControl,
-  FormField,
-  FormItem,
-  FormLabel,
-  FormMessage,
-} from '@/components/ui/form';
-import { Input } from '@/components/ui/input';
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from '@/components/ui/select';
-import { Textarea } from '@/components/ui/textarea';
-import { useToast } from '@/components/ui/use-toast';
-import { SampleList } from '@/components/VoiceProfiles/SampleList';
-import { apiClient } from '@/lib/api/client';
-import type { EffectConfig } from '@/lib/api/types';
-import { LANGUAGE_CODES, LANGUAGE_OPTIONS, type LanguageCode } from '@/lib/constants/languages';
-import { BOTTOM_SAFE_AREA_PADDING } from '@/lib/constants/ui';
-import {
-  useDeleteAvatar,
-  useProfile,
-  useUpdateProfile,
-  useUploadAvatar,
-} from '@/lib/hooks/useProfiles';
-import { cn } from '@/lib/utils/cn';
-import { usePlayerStore } from '@/stores/playerStore';
-import { useServerStore } from '@/stores/serverStore';
-
-const profileSchema = z.object({
-  name: z.string().min(1, 'Name is required').max(100),
-  description: z.string().max(500).optional(),
-  language: z.enum(LANGUAGE_CODES as [LanguageCode, ...LanguageCode[]]),
-});
-
-type ProfileFormValues = z.infer<typeof profileSchema>;
-
-interface VoiceInspectorProps {
-  profileId: string;
-}
-
-export function VoiceInspector({ profileId }: VoiceInspectorProps) {
-  const { data: profile } = useProfile(profileId);
-  const audioUrl = usePlayerStore((state) => state.audioUrl);
-  const isPlayerVisible = !!audioUrl;
-  const updateProfile = useUpdateProfile();
-  const uploadAvatar = useUploadAvatar();
-  const deleteAvatar = useDeleteAvatar();
-  const serverUrl = useServerStore((state) => state.serverUrl);
-  const { toast } = useToast();
-
-  const [avatarPreview, setAvatarPreview] = useState<string | null>(null);
-  const [avatarError, setAvatarError] = useState(false);
-  const avatarInputRef = useRef<HTMLInputElement>(null);
-
-  const [effectsChain, setEffectsChain] = useState<EffectConfig[]>([]);
-  const [effectsDirty, setEffectsDirty] = useState(false);
-
-  const form = useForm<ProfileFormValues>({
-    resolver: zodResolver(profileSchema),
-    defaultValues: {
-      name: '',
-      description: '',
-      language: 'en',
-    },
-  });
-
-  // Populate form when profile loads
-  useEffect(() => {
-    if (profile) {
-      form.reset({
-        name: profile.name,
-        description: profile.description || '',
-        language: profile.language as LanguageCode,
-      });
-      setEffectsChain(profile.effects_chain ?? []);
-      setEffectsDirty(false);
-    }
-  }, [profile, form]);
-
-  // Avatar preview
-  useEffect(() => {
-    if (profile?.avatar_path) {
-      setAvatarPreview(`${serverUrl}/profiles/${profile.id}/avatar`);
-    } else {
-      setAvatarPreview(null);
-    }
-    setAvatarError(false);
-  }, [profile, serverUrl]);
-
-  function handleAvatarFileChange(e: React.ChangeEvent<HTMLInputElement>) {
-    const file = e.target.files?.[0];
-    if (!file) return;
-    if (!file.type.startsWith('image/')) {
-      toast({
-        title: 'Invalid file type',
-        description: 'Please select PNG, JPG, or WebP',
-        variant: 'destructive',
-      });
-      return;
-    }
-    if (file.size > 5 * 1024 * 1024) {
-      toast({
-        title: 'File too large',
-        description: 'Image must be less than 5MB',
-        variant: 'destructive',
-      });
-      return;
-    }
-    // Upload immediately
-    uploadAvatar.mutate(
-      { profileId, file },
-      {
-        onSuccess: () => {
-          setAvatarPreview(URL.createObjectURL(file));
-          toast({ title: 'Avatar updated' });
-        },
-        onError: (err) => {
-          toast({
-            title: 'Avatar upload failed',
-            description: err instanceof Error ? err.message : 'Unknown error',
-            variant: 'destructive',
-          });
-        },
-      },
-    );
-  }
-
-  async function handleRemoveAvatar() {
-    if (profile?.avatar_path) {
-      try {
-        await deleteAvatar.mutateAsync(profileId);
-        toast({ title: 'Avatar removed' });
-      } catch (err) {
-        toast({
-          title: 'Failed to remove avatar',
-          description: err instanceof Error ? err.message : 'Unknown error',
-          variant: 'destructive',
-        });
-      }
-    }
-    setAvatarPreview(null);
-    if (avatarInputRef.current) avatarInputRef.current.value = '';
-  }
-
-  async function onSubmit(data: ProfileFormValues) {
-    try {
-      await updateProfile.mutateAsync({
-        profileId,
-        data: {
-          name: data.name,
-          description: data.description,
-          language: data.language,
-        },
-      });
-
-      if (effectsDirty) {
-        try {
-          await apiClient.updateProfileEffects(
-            profileId,
-            effectsChain.length > 0 ? effectsChain : null,
-          );
-          setEffectsDirty(false);
-        } catch (fxError) {
-          toast({
-            title: 'Effects update failed',
-            description: fxError instanceof Error ? fxError.message : 'Failed to save effects',
-            variant: 'destructive',
-          });
-          return;
-        }
-      }
-
-      toast({ title: 'Voice updated', description: `"${data.name}" saved.` });
-    } catch (error) {
-      toast({
-        title: 'Error',
-        description: error instanceof Error ? error.message : 'Failed to save profile',
-        variant: 'destructive',
-      });
-    }
-  }
-
-  if (!profile) {
-    return (
-      <div className="flex items-center justify-center h-full text-muted-foreground text-sm">
-        Loading...
-      </div>
-    );
-  }
-
-  const isDirty = form.formState.isDirty || effectsDirty;
-
-  return (
-    <div className="h-full flex flex-col overflow-hidden">
-      <div className={cn('flex-1 overflow-y-auto', isPlayerVisible && BOTTOM_SAFE_AREA_PADDING)}>
-        <Form {...form}>
-          <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-0">
-            {/* Avatar */}
-            <div className="flex justify-center pt-5 pb-3">
-              <div className="relative group">
-                <div className="h-20 w-20 rounded-full bg-muted flex items-center justify-center shrink-0 overflow-hidden border-2 border-border">
-                  {avatarPreview && !avatarError ? (
-                    <img
-                      src={avatarPreview}
-                      alt={profile.name}
-                      className="h-full w-full object-cover"
-                      onError={() => setAvatarError(true)}
-                    />
-                  ) : (
-                    <Mic className="h-8 w-8 text-muted-foreground" />
-                  )}
-                </div>
-                <button
-                  type="button"
-                  onClick={() => avatarInputRef.current?.click()}
-                  className="absolute inset-0 rounded-full bg-accent/60 opacity-0 group-hover:opacity-100 transition-opacity flex items-center justify-center cursor-pointer"
-                >
-                  <Edit2 className="h-5 w-5 text-accent-foreground" />
-                </button>
-                {avatarPreview && (
-                  <button
-                    type="button"
-                    onClick={handleRemoveAvatar}
-                    disabled={deleteAvatar.isPending}
-                    className="absolute bottom-0 right-0 h-5 w-5 rounded-full bg-background/60 backdrop-blur-sm text-muted-foreground flex items-center justify-center hover:bg-background/80 hover:text-foreground transition-colors shadow-sm border border-border/50"
-                  >
-                    <X className="h-3 w-3" />
-                  </button>
-                )}
-              </div>
-              <input
-                ref={avatarInputRef}
-                type="file"
-                accept="image/png,image/jpeg,image/webp"
-                onChange={handleAvatarFileChange}
-                className="hidden"
-              />
-            </div>
-
-            {/* Fields */}
-            <div className="space-y-3 px-5">
-              <FormField
-                control={form.control}
-                name="name"
-                render={({ field }) => (
-                  <FormItem>
-                    <FormLabel>Name</FormLabel>
-                    <FormControl>
-                      <Input placeholder="My Voice" {...field} />
-                    </FormControl>
-                    <FormMessage />
-                  </FormItem>
-                )}
-              />
-
-              <FormField
-                control={form.control}
-                name="description"
-                render={({ field }) => (
-                  <FormItem>
-                    <FormLabel>Description</FormLabel>
-                    <FormControl>
-                      <Textarea placeholder="Describe this voice..." rows={2} {...field} />
-                    </FormControl>
-                    <FormMessage />
-                  </FormItem>
-                )}
-              />
-
-              <FormField
-                control={form.control}
-                name="language"
-                render={({ field }) => (
-                  <FormItem>
-                    <FormLabel>Language</FormLabel>
-                    <Select onValueChange={field.onChange} value={field.value}>
-                      <FormControl>
-                        <SelectTrigger>
-                          <SelectValue />
-                        </SelectTrigger>
-                      </FormControl>
-                      <SelectContent>
-                        {LANGUAGE_OPTIONS.map((lang) => (
-                          <SelectItem key={lang.value} value={lang.value}>
-                            {lang.label}
-                          </SelectItem>
-                        ))}
-                      </SelectContent>
-                    </Select>
-                    <FormMessage />
-                  </FormItem>
-                )}
-              />
-
-              {/* Effects */}
-              <div className="space-y-2">
-                <FormLabel>Default Effects</FormLabel>
-                <p className="text-xs text-muted-foreground">
-                  Applied automatically to new generations with this voice.
-                </p>
-                <EffectsChainEditor
-                  value={effectsChain}
-                  onChange={(chain) => {
-                    setEffectsChain(chain);
-                    setEffectsDirty(true);
-                  }}
-                  compact
-                />
-              </div>
-
-              {/* Save */}
-              {isDirty && (
-                <Button type="submit" className="w-full" disabled={updateProfile.isPending}>
-                  {updateProfile.isPending ? 'Saving...' : 'Save Changes'}
-                </Button>
-              )}
-            </div>
-
-            {/* Samples */}
-            <div className="px-5 pb-5">
-              <SampleList profileId={profileId} />
-            </div>
-          </form>
-        </Form>
-      </div>
-    </div>
-  );
-}
@@ -1,9 +1,13 @@
 import { useQuery, useQueryClient } from '@tanstack/react-query';
-import { Mic, Plus, Search, Sparkles } from 'lucide-react';
-import { useEffect, useMemo, useRef, useState } from 'react';
+import { Edit, MoreHorizontal, Plus, Trash2, Mic } from 'lucide-react';
+import { useMemo, useRef } from 'react';
 import { Button } from '@/components/ui/button';
-import { Input } from '@/components/ui/input';
-
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuTrigger,
+} from '@/components/ui/dropdown-menu';
 import { MultiSelect } from '@/components/ui/multi-select';
 import {
  Table,
@@ -17,46 +21,33 @@ import { ProfileForm } from '@/components/VoiceProfiles/ProfileForm';
 import { apiClient } from '@/lib/api/client';
 import type { VoiceProfileResponse } from '@/lib/api/types';
 import { BOTTOM_SAFE_AREA_PADDING } from '@/lib/constants/ui';
-import { useProfiles } from '@/lib/hooks/useProfiles';
+import { useHistory } from '@/lib/hooks/useHistory';
+import { useDeleteProfile, useProfileSamples, useProfiles } from '@/lib/hooks/useProfiles';
 import { cn } from '@/lib/utils/cn';
 import { usePlayerStore } from '@/stores/playerStore';
-import { useServerStore } from '@/stores/serverStore';
 import { useUIStore } from '@/stores/uiStore';
-import { VoiceInspector } from './VoiceInspector';

 export function VoicesTab() {
  const { data: profiles, isLoading } = useProfiles();
+  const { data: historyData } = useHistory({ limit: 1000 });
  const queryClient = useQueryClient();
  const setDialogOpen = useUIStore((state) => state.setProfileDialogOpen);
-  const selectedVoiceId = useUIStore((state) => state.selectedVoiceId);
-  const setSelectedVoiceId = useUIStore((state) => state.setSelectedVoiceId);
+  const setEditingProfileId = useUIStore((state) => state.setEditingProfileId);
+  const deleteProfile = useDeleteProfile();
  const scrollRef = useRef<HTMLDivElement>(null);
  const audioUrl = usePlayerStore((state) => state.audioUrl);
  const isPlayerVisible = !!audioUrl;
-  const [search, setSearch] = useState('');

-  const filteredProfiles = useMemo(() => {
-    if (!profiles) return [];
-    if (!search.trim()) return profiles;
-    const q = search.toLowerCase();
-    return profiles.filter(
-      (p) =>
-        p.name.toLowerCase().includes(q) ||
-        p.description?.toLowerCase().includes(q) ||
-        p.language.toLowerCase().includes(q),
-    );
-  }, [profiles, search]);
-
-  // Auto-select first profile if none selected
-  useEffect(() => {
-    if (!selectedVoiceId && profiles && profiles.length > 0) {
-      setSelectedVoiceId(profiles[0].id);
+  // Get generation counts per profile
+  const generationCounts = useMemo(() => {
+    const counts: Record<string, number> = {};
+    if (historyData?.items) {
+      historyData.items.forEach((item) => {
+        counts[item.profile_id] = (counts[item.profile_id] || 0) + 1;
+      });
    }
-    // Clear selection if selected profile was deleted
-    if (selectedVoiceId && profiles && !profiles.find((p) => p.id === selectedVoiceId)) {
-      setSelectedVoiceId(profiles.length > 0 ? profiles[0].id : null);
-    }
-  }, [profiles, selectedVoiceId, setSelectedVoiceId]);
+    return counts;
+  }, [historyData]);

  // Get channel assignments for each profile
  const { data: channelAssignments } = useQuery({
@@ -83,6 +74,17 @@ export function VoicesTab() {
    queryFn: () => apiClient.listChannels(),
  });

+  const handleEdit = (profileId: string) => {
+    setEditingProfileId(profileId);
+    setDialogOpen(true);
+  };
+
+  const handleDelete = (profileId: string) => {
+    if (confirm('Are you sure you want to delete this profile?')) {
+      deleteProfile.mutate(profileId);
+    }
+  };
+
  const handleChannelChange = async (profileId: string, channelIds: string[]) => {
    try {
      await apiClient.setProfileChannels(profileId, channelIds);
@@ -101,76 +103,56 @@ export function VoicesTab() {
  }

  return (
-    <div className="h-full flex gap-0 overflow-hidden -mx-8">
-      {/* Left: Table */}
-      <div className="flex-1 min-w-0 flex flex-col relative overflow-hidden">
-        {/* Scroll Mask */}
-        <div className="absolute top-0 left-0 right-0 h-16 bg-gradient-to-b from-background to-transparent z-10 pointer-events-none" />
+    <div className="h-full flex flex-col relative overflow-hidden">
+      {/* Scroll Mask - Always visible, behind content */}
+      <div className="absolute top-0 left-0 right-0 h-16 bg-gradient-to-b from-background to-transparent z-10 pointer-events-none" />

-        {/* Fixed Header */}
-        <div className="absolute top-0 left-0 right-0 z-20 pl-8 pr-8">
-          <div className="flex items-center gap-3 mb-6">
-            <h1 className="text-2xl font-bold">Voices</h1>
-            <div className="flex-1" />
-            <div className="relative w-[240px]">
-              <Search className="absolute left-2.5 top-1/2 -translate-y-1/2 h-3.5 w-3.5 text-muted-foreground" />
-              <Input
-                placeholder="Search voices..."
-                value={search}
-                onChange={(e) => setSearch(e.target.value)}
-                className="h-10 pl-8 text-sm rounded-full focus-visible:ring-0 focus-visible:ring-offset-0"
-              />
-            </div>
-            <Button onClick={() => setDialogOpen(true)}>
-              <Plus className="h-4 w-4 mr-2" />
-              New Voice
-            </Button>
-          </div>
-        </div>
-
-        {/* Scrollable Content */}
-        <div
-          ref={scrollRef}
-          className={cn(
-            'flex-1 overflow-y-auto overflow-x-hidden pt-16 relative z-0',
-            isPlayerVisible && BOTTOM_SAFE_AREA_PADDING,
-          )}
-        >
-          <Table className="table-fixed [&_td:first-child]:pl-8 [&_th:first-child]:pl-8">
-            <TableHeader>
-              <TableRow>
-                <TableHead className="w-[30%]">Name</TableHead>
-                <TableHead className="w-[10%]">Language</TableHead>
-                <TableHead className="w-[10%]">Generations</TableHead>
-                <TableHead className="w-[8%]">Samples</TableHead>
-                <TableHead className="w-[8%]">Effects</TableHead>
-                <TableHead className="w-[24%]">Channels</TableHead>
-                <TableHead className="w-6"></TableHead>
-              </TableRow>
-            </TableHeader>
-            <TableBody>
-              {filteredProfiles.map((profile) => (
-                <VoiceRow
-                  key={profile.id}
-                  profile={profile}
-                  isSelected={selectedVoiceId === profile.id}
-                  onSelect={() => setSelectedVoiceId(profile.id)}
-                  channelIds={channelAssignments?.[profile.id] || []}
-                  channels={channels || []}
-                  onChannelChange={(channelIds) => handleChannelChange(profile.id, channelIds)}
-                />
-              ))}
-            </TableBody>
-          </Table>
+      {/* Fixed Header */}
+      <div className="absolute top-0 left-0 right-0 z-20">
+        <div className="flex items-center justify-between mb-6">
+          <h1 className="text-2xl font-bold">Voices</h1>
+          <Button onClick={() => setDialogOpen(true)}>
+            <Plus className="h-4 w-4 mr-2" />
+            New Voice
+          </Button>
        </div>
      </div>

-      {/* Right: Inspector */}
-      {selectedVoiceId && (
-        <div className="w-[340px] shrink-0 border-l border-t rounded-tl-xl bg-muted/30">
-          <VoiceInspector key={selectedVoiceId} profileId={selectedVoiceId} />
-        </div>
-      )}
+      {/* Scrollable Content */}
+      <div
+        ref={scrollRef}
+        className={cn(
+          'flex-1 overflow-y-auto pt-16 relative z-0',
+          isPlayerVisible && BOTTOM_SAFE_AREA_PADDING,
+        )}
+      >
+        <Table>
+          <TableHeader>
+            <TableRow>
+              <TableHead>Name</TableHead>
+              <TableHead>Language</TableHead>
+              <TableHead>Generations</TableHead>
+              <TableHead>Samples</TableHead>
+              <TableHead>Channels</TableHead>
+              <TableHead className="w-[50px]"></TableHead>
+            </TableRow>
+          </TableHeader>
+          <TableBody>
+            {profiles?.map((profile) => (
+              <VoiceRow
+                key={profile.id}
+                profile={profile}
+                generationCount={generationCounts[profile.id] || 0}
+                channelIds={channelAssignments?.[profile.id] || []}
+                channels={channels || []}
+                onChannelChange={(channelIds) => handleChannelChange(profile.id, channelIds)}
+                onEdit={() => handleEdit(profile.id)}
+                onDelete={() => handleDelete(profile.id)}
+              />
+            ))}
+          </TableBody>
+        </Table>
+      </div>

      <ProfileForm />
    </div>
@@ -179,71 +161,43 @@ export function VoicesTab() {

 interface VoiceRowProps {
  profile: VoiceProfileResponse;
-  isSelected: boolean;
-  onSelect: () => void;
+  generationCount: number;
  channelIds: string[];
  channels: Array<{ id: string; name: string; is_default: boolean }>;
  onChannelChange: (channelIds: string[]) => void;
+  onEdit: () => void;
+  onDelete: () => void;
 }

 function VoiceRow({
  profile,
-  isSelected,
-  onSelect,
+  generationCount,
  channelIds,
  channels,
  onChannelChange,
+  onEdit,
+  onDelete,
 }: VoiceRowProps) {
-  const serverUrl = useServerStore((state) => state.serverUrl);
-  const [avatarError, setAvatarError] = useState(false);
-  const avatarUrl = profile.avatar_path ? `${serverUrl}/profiles/${profile.id}/avatar` : null;
-
-  const enabledEffects = profile.effects_chain?.filter((e) => e.enabled) ?? [];
-  const effectsSummary = enabledEffects.map((e) => e.type).join(' → ');
+  const { data: samples } = useProfileSamples(profile.id);

  return (
-    <TableRow
-      className={cn('cursor-pointer', isSelected ? 'bg-muted/50' : 'hover:bg-muted/50')}
-      onClick={onSelect}
-    >
+    <TableRow className="cursor-pointer" onClick={onEdit}>
      <TableCell>
-        <div className="flex w-full min-w-0 items-center gap-2">
-          <div className="h-8 w-8 rounded-full bg-muted flex items-center justify-center shrink-0 overflow-hidden">
-            {avatarUrl && !avatarError ? (
-              <img
-                src={avatarUrl}
-                alt={`${profile.name} avatar`}
-                className="h-full w-full object-cover"
-                onError={() => setAvatarError(true)}
-              />
-            ) : (
-              <Mic className="h-4 w-4 text-muted-foreground" />
-            )}
+        <div className="flex items-center gap-2">
+          <div className="h-8 w-8 rounded-lg bg-muted flex items-center justify-center shrink-0">
+            <Mic className="h-4 w-4 text-muted-foreground" />
          </div>
-          <div className="min-w-0">
-            <div className="font-medium truncate">{profile.name}</div>
+          <div>
+            <div className="font-medium">{profile.name}</div>
            {profile.description && (
-              <div className="text-sm text-muted-foreground truncate">{profile.description}</div>
+              <div className="text-sm text-muted-foreground">{profile.description}</div>
            )}
          </div>
        </div>
      </TableCell>
-      <TableCell>{profile.language}</TableCell>
-      <TableCell>{profile.generation_count}</TableCell>
-      <TableCell>{profile.sample_count}</TableCell>
-      <TableCell>
-        {enabledEffects.length > 0 ? (
-          <span
-            className="inline-flex items-center gap-1 text-xs text-accent"
-            title={effectsSummary}
-          >
-            <Sparkles className="h-3 w-3 fill-accent" />
-            {enabledEffects.length}
-          </span>
-        ) : (
-          <span className="text-xs text-muted-foreground">—</span>
-        )}
-      </TableCell>
+      <TableCell onClick={(e) => e.stopPropagation()}>{profile.language}</TableCell>
+      <TableCell onClick={(e) => e.stopPropagation()}>{generationCount}</TableCell>
+      <TableCell onClick={(e) => e.stopPropagation()}>{samples?.length || 0}</TableCell>
      <TableCell onClick={(e) => e.stopPropagation()}>
        <MultiSelect
          options={channels.map((ch) => ({
@@ -253,10 +207,28 @@ function VoiceRow({
          value={channelIds}
          onChange={onChannelChange}
          placeholder="Select channels..."
-          className="w-full"
+          className="min-w-[200px]"
        />
      </TableCell>
-      <TableCell />
+      <TableCell onClick={(e) => e.stopPropagation()}>
+        <DropdownMenu>
+          <DropdownMenuTrigger asChild>
+            <Button variant="ghost" size="icon">
+              <MoreHorizontal className="h-4 w-4" />
+            </Button>
+          </DropdownMenuTrigger>
+          <DropdownMenuContent>
+            <DropdownMenuItem onClick={onEdit}>
+              <Edit className="h-4 w-4 mr-2" />
+              Edit
+            </DropdownMenuItem>
+            <DropdownMenuItem onClick={onDelete} className="text-destructive">
+              <Trash2 className="h-4 w-4 mr-2" />
+              Delete
+            </DropdownMenuItem>
+          </DropdownMenuContent>
+        </DropdownMenu>
+      </TableCell>
    </TableRow>
  );
 }
@@ -1,5 +1,5 @@
-import { Check } from 'lucide-react';
 import * as React from 'react';
+import { Check } from 'lucide-react';
 import { cn } from '@/lib/utils/cn';

 export interface CheckboxProps {
@@ -1,6 +1,6 @@
+import * as React from 'react';
 import * as DropdownMenuPrimitive from '@radix-ui/react-dropdown-menu';
 import { MoreHorizontal } from 'lucide-react';
-import * as React from 'react';
 import { cn } from '@/lib/utils/cn';

 const DropdownMenu = DropdownMenuPrimitive.Root;
@@ -73,7 +73,7 @@ const DropdownMenuItem = React.forwardRef<
  <DropdownMenuPrimitive.Item
    ref={ref}
    className={cn(
-      'relative flex cursor-default select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50',
+      'relative flex cursor-default select-none items-center rounded-sm px-2 py-1.5 text-sm outline-none transition-colors focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50',
      inset && 'pl-8',
      className,
    )}
@@ -154,9 +154,7 @@ const DropdownMenuSeparator = React.forwardRef<
 DropdownMenuSeparator.displayName = DropdownMenuPrimitive.Separator.displayName;

 const DropdownMenuShortcut = ({ className, ...props }: React.HTMLAttributes<HTMLSpanElement>) => {
-  return (
-    <span className={cn('ml-auto text-xs tracking-widest opacity-60', className)} {...props} />
-  );
+  return <span className={cn('ml-auto text-xs tracking-widest opacity-60', className)} {...props} />;
 };
 DropdownMenuShortcut.displayName = 'DropdownMenuShortcut';

@@ -16,7 +16,7 @@ const SelectTrigger = React.forwardRef<
  <SelectPrimitive.Trigger
    ref={ref}
    className={cn(
-      'flex h-10 w-full items-center justify-between rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background placeholder:text-muted-foreground focus:outline-none focus:bg-muted/50 disabled:cursor-not-allowed disabled:opacity-50 [&>span]:line-clamp-1',
+      'flex h-10 w-full items-center justify-between rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 [&>span]:line-clamp-1',
      className,
    )}
    {...props}
@@ -108,7 +108,7 @@ const SelectItem = React.forwardRef<
  <SelectPrimitive.Item
    ref={ref}
    className={cn(
-      'relative flex w-full cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-2 text-sm outline-none focus:bg-accent focus:text-accent-foreground focus:[&_*]:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50',
+      'relative flex w-full cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-2 text-sm outline-none focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50',
      className,
    )}
    {...props}
@@ -14,11 +14,7 @@ const TableHeader = React.forwardRef<
  HTMLTableSectionElement,
  React.HTMLAttributes<HTMLTableSectionElement>
 >(({ className, ...props }, ref) => (
-  <thead
-    ref={ref}
-    className={cn('[&_tr]:border-b [&_tr]:hover:bg-transparent', className)}
-    {...props}
-  />
+  <thead ref={ref} className={cn('[&_tr]:border-b', className)} {...props} />
 ));
 TableHeader.displayName = 'TableHeader';

@@ -46,7 +42,10 @@ const TableRow = React.forwardRef<HTMLTableRowElement, React.HTMLAttributes<HTML
  ({ className, ...props }, ref) => (
    <tr
      ref={ref}
-      className={cn('border-b hover:bg-muted/50 data-[state=selected]:bg-muted', className)}
+      className={cn(
+        'border-b transition-colors hover:bg-muted/50 data-[state=selected]:bg-muted',
+        className,
+      )}
      {...props}
    />
  ),
@@ -1,5 +1,4 @@
@import "tailwindcss" source(".");
-@import "loaders.css/loaders.min.css";

@theme {
  --radius-sm: calc(var(--radius) - 4px);
@@ -156,18 +155,3 @@
  animation: fadeIn 0.5s ease-out 0.15s forwards;
  opacity: 0;
 }
-
-/* react-loaders */
-.line-scale-pulse-out-rapid > div,
-.line-scale > div {
-  background-color: hsl(var(--accent)) !important;
-}
-
-.loader-hidden {
-  display: block;
-}
-
-.loader-hidden > div > div {
-  animation-play-state: paused !important;
-  background-color: hsl(var(--muted-foreground)) !important;
-}
@@ -1,37 +1,29 @@
-import type { LanguageCode } from '@/lib/constants/languages';
 import { useServerStore } from '@/stores/serverStore';
+import type { LanguageCode } from '@/lib/constants/languages';
 import type {
-  ActiveTasksResponse,
-  ApplyEffectsRequest,
-  AvailableEffectsResponse,
-  CudaStatus,
-  EffectConfig,
-  EffectPresetCreate,
-  EffectPresetResponse,
-  GenerationRequest,
-  GenerationResponse,
-  GenerationVersionResponse,
-  HealthResponse,
-  HistoryListResponse,
-  HistoryQuery,
-  HistoryResponse,
-  ModelDownloadRequest,
-  ModelStatusListResponse,
-  ProfileSampleResponse,
-  StoryCreate,
-  StoryDetailResponse,
-  StoryItemBatchUpdate,
-  StoryItemCreate,
-  StoryItemDetail,
-  StoryItemMove,
-  StoryItemReorder,
-  StoryItemSplit,
-  StoryItemTrim,
-  StoryItemVersionUpdate,
-  StoryResponse,
-  TranscriptionResponse,
  VoiceProfileCreate,
  VoiceProfileResponse,
+  ProfileSampleResponse,
+  GenerationRequest,
+  GenerationResponse,
+  HistoryQuery,
+  HistoryListResponse,
+  HistoryResponse,
+  TranscriptionResponse,
+  HealthResponse,
+  ModelStatusListResponse,
+  ModelDownloadRequest,
+  ActiveTasksResponse,
+  StoryCreate,
+  StoryResponse,
+  StoryDetailResponse,
+  StoryItemCreate,
+  StoryItemDetail,
+  StoryItemBatchUpdate,
+  StoryItemReorder,
+  StoryItemMove,
+  StoryItemTrim,
+  StoryItemSplit,
 } from './types';

 class ApiClient {
@@ -207,24 +199,6 @@ class ApiClient {
    });
  }

-  async retryGeneration(generationId: string): Promise<GenerationResponse> {
-    return this.request<GenerationResponse>(`/generate/${generationId}/retry`, {
-      method: 'POST',
-    });
-  }
-
-  async regenerateGeneration(generationId: string): Promise<GenerationResponse> {
-    return this.request<GenerationResponse>(`/generate/${generationId}/regenerate`, {
-      method: 'POST',
-    });
-  }
-
-  async toggleFavorite(generationId: string): Promise<{ is_favorited: boolean }> {
-    return this.request<{ is_favorited: boolean }>(`/history/${generationId}/favorite`, {
-      method: 'POST',
-    });
-  }
-
  // History
  async listHistory(query?: HistoryQuery): Promise<HistoryListResponse> {
    const params = new URLSearchParams();
@@ -277,13 +251,7 @@ class ApiClient {
    return response.blob();
  }

-  async importGeneration(file: File): Promise<{
-    id: string;
-    profile_id: string;
-    profile_name: string;
-    text: string;
-    message: string;
-  }> {
+  async importGeneration(file: File): Promise<{ id: string; profile_id: string; profile_name: string; text: string; message: string }> {
    const url = `${this.getBaseUrl()}/history/import`;
    const formData = new FormData();
    formData.append('file', file);
@@ -303,11 +271,6 @@ class ApiClient {
    return response.json();
  }

-  // Generation status SSE
-  getGenerationStatusUrl(generationId: string): string {
-    return `${this.getBaseUrl()}/generate/${generationId}/status`;
-  }
-
  // Audio
  getAudioUrl(audioId: string): string {
    return `${this.getBaseUrl()}/audio/${audioId}`;
@@ -346,28 +309,8 @@ class ApiClient {
    return this.request<ModelStatusListResponse>('/models/status');
  }

-  async getModelsCacheDir(): Promise<{ path: string }> {
-    return this.request<{ path: string }>('/models/cache-dir');
-  }
-
-  async migrateModels(destination: string): Promise<{ source: string; destination: string }> {
-    return this.request('/models/migrate', {
-      method: 'POST',
-      body: JSON.stringify({ destination }),
-    });
-  }
-
-  getMigrationProgressUrl(): string {
-    return `${this.getBaseUrl()}/models/migrate/progress`;
-  }
-
  async triggerModelDownload(modelName: string): Promise<{ message: string }> {
-    console.log(
-      '[API] triggerModelDownload called for:',
-      modelName,
-      'at',
-      new Date().toISOString(),
-    );
+    console.log('[API] triggerModelDownload called for:', modelName, 'at', new Date().toISOString());
    const result = await this.request<{ message: string }>('/models/download', {
      method: 'POST',
      body: JSON.stringify({ model_name: modelName } as ModelDownloadRequest),
@@ -382,28 +325,11 @@ class ApiClient {
    });
  }

-  async unloadModel(modelName: string): Promise<{ message: string }> {
-    return this.request<{ message: string }>(`/models/${modelName}/unload`, {
-      method: 'POST',
-    });
-  }
-
-  async cancelDownload(modelName: string): Promise<{ message: string }> {
-    return this.request<{ message: string }>('/models/download/cancel', {
-      method: 'POST',
-      body: JSON.stringify({ model_name: modelName } as ModelDownloadRequest),
-    });
-  }
-
  // Task Management
  async getActiveTasks(): Promise<ActiveTasksResponse> {
    return this.request<ActiveTasksResponse>('/tasks/active');
  }

-  async clearAllTasks(): Promise<{ message: string }> {
-    return this.request<{ message: string }>('/tasks/clear', { method: 'POST' });
-  }
-
  // Audio Channels
  async listChannels(): Promise<
    Array<{
@@ -417,7 +343,10 @@ class ApiClient {
    return this.request('/channels');
  }

-  async createChannel(data: { name: string; device_ids: string[] }): Promise<{
+  async createChannel(data: {
+    name: string;
+    device_ids: string[];
+  }): Promise<{
    id: string;
    name: string;
    is_default: boolean;
@@ -459,7 +388,10 @@ class ApiClient {
    return this.request(`/channels/${channelId}/voices`);
  }

-  async setChannelVoices(channelId: string, profileIds: string[]): Promise<{ message: string }> {
+  async setChannelVoices(
+    channelId: string,
+    profileIds: string[],
+  ): Promise<{ message: string }> {
    return this.request(`/channels/${channelId}/voices`, {
      method: 'PUT',
      body: JSON.stringify({ profile_ids: profileIds }),
@@ -470,30 +402,16 @@ class ApiClient {
    return this.request(`/profiles/${profileId}/channels`);
  }

-  async setProfileChannels(profileId: string, channelIds: string[]): Promise<{ message: string }> {
+  async setProfileChannels(
+    profileId: string,
+    channelIds: string[],
+  ): Promise<{ message: string }> {
    return this.request(`/profiles/${profileId}/channels`, {
      method: 'PUT',
      body: JSON.stringify({ channel_ids: channelIds }),
    });
  }

-  // CUDA Backend Management
-  async getCudaStatus(): Promise<CudaStatus> {
-    return this.request<CudaStatus>('/backend/cuda-status');
-  }
-
-  async downloadCudaBackend(): Promise<{ message: string; progress_key: string }> {
-    return this.request<{ message: string; progress_key: string }>('/backend/download-cuda', {
-      method: 'POST',
-    });
-  }
-
-  async deleteCudaBackend(): Promise<{ message: string }> {
-    return this.request<{ message: string }>('/backend/cuda', {
-      method: 'DELETE',
-    });
-  }
-
  // Stories
  async listStories(): Promise<StoryResponse[]> {
    return this.request<StoryResponse[]>('/stories');
@@ -550,33 +468,21 @@ class ApiClient {
    });
  }

-  async moveStoryItem(
-    storyId: string,
-    itemId: string,
-    data: StoryItemMove,
-  ): Promise<StoryItemDetail> {
+  async moveStoryItem(storyId: string, itemId: string, data: StoryItemMove): Promise<StoryItemDetail> {
    return this.request<StoryItemDetail>(`/stories/${storyId}/items/${itemId}/move`, {
      method: 'PUT',
      body: JSON.stringify(data),
    });
  }

-  async trimStoryItem(
-    storyId: string,
-    itemId: string,
-    data: StoryItemTrim,
-  ): Promise<StoryItemDetail> {
+  async trimStoryItem(storyId: string, itemId: string, data: StoryItemTrim): Promise<StoryItemDetail> {
    return this.request<StoryItemDetail>(`/stories/${storyId}/items/${itemId}/trim`, {
      method: 'PUT',
      body: JSON.stringify(data),
    });
  }

-  async splitStoryItem(
-    storyId: string,
-    itemId: string,
-    data: StoryItemSplit,
-  ): Promise<StoryItemDetail[]> {
+  async splitStoryItem(storyId: string, itemId: string, data: StoryItemSplit): Promise<StoryItemDetail[]> {
    return this.request<StoryItemDetail[]>(`/stories/${storyId}/items/${itemId}/split`, {
      method: 'POST',
      body: JSON.stringify(data),
@@ -589,17 +495,6 @@ class ApiClient {
    });
  }

-  async setStoryItemVersion(
-    storyId: string,
-    itemId: string,
-    data: StoryItemVersionUpdate,
-  ): Promise<StoryItemDetail> {
-    return this.request<StoryItemDetail>(`/stories/${storyId}/items/${itemId}/version`, {
-      method: 'PUT',
-      body: JSON.stringify(data),
-    });
-  }
-
  async exportStoryAudio(storyId: string): Promise<Blob> {
    const url = `${this.getBaseUrl()}/stories/${storyId}/export-audio`;
    const response = await fetch(url);
@@ -613,103 +508,6 @@ class ApiClient {

    return response.blob();
  }
-
-  // Effects & Versions
-  async getAvailableEffects(): Promise<AvailableEffectsResponse> {
-    return this.request<AvailableEffectsResponse>('/effects/available');
-  }
-
-  async listEffectPresets(): Promise<EffectPresetResponse[]> {
-    return this.request<EffectPresetResponse[]>('/effects/presets');
-  }
-
-  async createEffectPreset(data: EffectPresetCreate): Promise<EffectPresetResponse> {
-    return this.request<EffectPresetResponse>('/effects/presets', {
-      method: 'POST',
-      body: JSON.stringify(data),
-    });
-  }
-
-  async updateEffectPreset(
-    presetId: string,
-    data: { name?: string; description?: string; effects_chain?: EffectConfig[] },
-  ): Promise<EffectPresetResponse> {
-    return this.request<EffectPresetResponse>(`/effects/presets/${presetId}`, {
-      method: 'PUT',
-      body: JSON.stringify(data),
-    });
-  }
-
-  async deleteEffectPreset(presetId: string): Promise<void> {
-    await this.request<void>(`/effects/presets/${presetId}`, {
-      method: 'DELETE',
-    });
-  }
-
-  async listGenerationVersions(generationId: string): Promise<GenerationVersionResponse[]> {
-    return this.request<GenerationVersionResponse[]>(`/generations/${generationId}/versions`);
-  }
-
-  async applyEffectsToGeneration(
-    generationId: string,
-    data: ApplyEffectsRequest,
-  ): Promise<GenerationVersionResponse> {
-    return this.request<GenerationVersionResponse>(
-      `/generations/${generationId}/versions/apply-effects`,
-      {
-        method: 'POST',
-        body: JSON.stringify(data),
-      },
-    );
-  }
-
-  async setDefaultVersion(
-    generationId: string,
-    versionId: string,
-  ): Promise<GenerationVersionResponse> {
-    return this.request<GenerationVersionResponse>(
-      `/generations/${generationId}/versions/${versionId}/set-default`,
-      { method: 'PUT' },
-    );
-  }
-
-  async deleteGenerationVersion(generationId: string, versionId: string): Promise<void> {
-    await this.request<void>(`/generations/${generationId}/versions/${versionId}`, {
-      method: 'DELETE',
-    });
-  }
-
-  getVersionAudioUrl(versionId: string): string {
-    return `${this.getBaseUrl()}/audio/version/${versionId}`;
-  }
-
-  async updateProfileEffects(
-    profileId: string,
-    effectsChain: EffectConfig[] | null,
-  ): Promise<VoiceProfileResponse> {
-    return this.request<VoiceProfileResponse>(`/profiles/${profileId}/effects`, {
-      method: 'PUT',
-      body: JSON.stringify({ effects_chain: effectsChain }),
-    });
-  }
-
-  async previewEffects(generationId: string, effectsChain: EffectConfig[]): Promise<Blob> {
-    const url = `${this.getBaseUrl()}/effects/preview/${generationId}`;
-    const response = await fetch(url, {
-      method: 'POST',
-      headers: { 'Content-Type': 'application/json' },
-      body: JSON.stringify({ effects_chain: effectsChain }),
-    });
-
-    if (!response.ok) {
-      const error = await response.json().catch(() => ({
-        detail: response.statusText,
-      }));
-      throw new Error(error.detail || `HTTP error! status: ${response.status}`);
-    }
-
-    return response.blob();
-  }
 }

 export const apiClient = new ApiClient();
@@ -13,9 +13,6 @@ export interface VoiceProfileResponse {
  description?: string;
  language: string;
  avatar_path?: string;
-  effects_chain?: EffectConfig[];
-  generation_count: number;
-  sample_count: number;
  created_at: string;
  updated_at: string;
 }
@@ -31,35 +28,12 @@ export interface ProfileSampleResponse {
  reference_text: string;
 }

-export interface EffectConfig {
-  type: string;
-  enabled: boolean;
-  params: Record<string, number>;
-}
-
 export interface GenerationRequest {
  profile_id: string;
  text: string;
  language: LanguageCode;
  seed?: number;
  model_size?: '1.7B' | '0.6B';
-  engine?: 'qwen' | 'luxtts' | 'chatterbox' | 'chatterbox_turbo';
-  instruct?: string;
-  max_chunk_chars?: number;
-  crossfade_ms?: number;
-  normalize?: boolean;
-  effects_chain?: EffectConfig[];
-}
-
-export interface GenerationVersionResponse {
-  id: string;
-  generation_id: string;
-  label: string;
-  audio_path: string;
-  effects_chain?: EffectConfig[];
-  source_version_id?: string;
-  is_default: boolean;
-  created_at: string;
 }

 export interface GenerationResponse {
@@ -67,18 +41,10 @@ export interface GenerationResponse {
  profile_id: string;
  text: string;
  language: string;
-  audio_path?: string;
-  duration?: number;
+  audio_path: string;
+  duration: number;
  seed?: number;
-  instruct?: string;
-  engine?: string;
-  model_size?: string;
-  status: 'loading_model' | 'generating' | 'completed' | 'failed';
-  error?: string;
-  is_favorited?: boolean;
  created_at: string;
-  versions?: GenerationVersionResponse[];
-  active_version_id?: string;
 }

 export interface HistoryQuery {
@@ -90,8 +56,6 @@ export interface HistoryQuery {

 export interface HistoryResponse extends GenerationResponse {
  profile_name: string;
-  versions?: GenerationVersionResponse[];
-  active_version_id?: string;
 }

 export interface HistoryListResponse {
@@ -114,29 +78,7 @@ export interface HealthResponse {
  model_downloaded?: boolean;
  model_size?: string;
  gpu_available: boolean;
-  gpu_type?: string;
  vram_used_mb?: number;
-  backend_type?: string;
-  backend_variant?: string; // "cpu" or "cuda"
-}
-
-export interface CudaDownloadProgress {
-  model_name: string;
-  current: number;
-  total: number;
-  progress: number;
-  filename?: string;
-  status: 'downloading' | 'extracting' | 'complete' | 'error';
-  timestamp: string;
-  error?: string;
-}
-
-export interface CudaStatus {
-  available: boolean; // CUDA binary exists on disk
-  active: boolean; // Currently running the CUDA binary
-  binary_path?: string;
-  downloading: boolean; // Download in progress
-  download_progress?: CudaDownloadProgress;
 }

 export interface ModelProgress {
@@ -153,29 +95,12 @@ export interface ModelProgress {
 export interface ModelStatus {
  model_name: string;
  display_name: string;
-  hf_repo_id?: string; // HuggingFace repository ID
  downloaded: boolean;
-  downloading: boolean; // True if download is in progress
+  downloading: boolean;  // True if download is in progress
  size_mb?: number;
  loaded: boolean;
 }

-export interface HuggingFaceModelInfo {
-  id: string;
-  author: string;
-  lastModified: string;
-  pipeline_tag?: string;
-  library_name?: string;
-  downloads: number;
-  likes: number;
-  tags: string[];
-  cardData?: {
-    license?: string;
-    language?: string[];
-    pipeline_tag?: string;
-  };
-}
-
 export interface ModelStatusListResponse {
  models: ModelStatus[];
 }
@@ -188,11 +113,6 @@ export interface ActiveDownloadTask {
  model_name: string;
  status: string;
  started_at: string;
-  error?: string;
-  progress?: number; // 0-100 percentage
-  current?: number; // bytes downloaded
-  total?: number; // total bytes
-  filename?: string; // current file being downloaded
 }

 export interface ActiveGenerationTask {
@@ -225,7 +145,6 @@ export interface StoryItemDetail {
  id: string;
  story_id: string;
  generation_id: string;
-  version_id?: string;
  start_time_ms: number;
  track: number;
  trim_start_ms: number;
@@ -240,12 +159,6 @@ export interface StoryItemDetail {
  seed?: number;
  instruct?: string;
  generation_created_at: string;
-  versions?: GenerationVersionResponse[];
-  active_version_id?: string;
-}
-
-export interface StoryItemVersionUpdate {
-  version_id: string | null;
 }

 export interface StoryDetailResponse {
@@ -289,52 +202,3 @@ export interface StoryItemTrim {
 export interface StoryItemSplit {
  split_time_ms: number;
 }
-
-// Effects
-
-export interface EffectPresetResponse {
-  id: string;
-  name: string;
-  description?: string;
-  effects_chain: EffectConfig[];
-  is_builtin: boolean;
-  created_at: string;
-}
-
-export interface EffectPresetCreate {
-  name: string;
-  description?: string;
-  effects_chain: EffectConfig[];
-}
-
-export interface EffectPresetUpdate {
-  name?: string;
-  description?: string;
-  effects_chain?: EffectConfig[];
-}
-
-export interface AvailableEffectParam {
-  default: number;
-  min: number;
-  max: number;
-  step: number;
-  description: string;
-}
-
-export interface AvailableEffect {
-  type: string;
-  label: string;
-  description: string;
-  params: Record<string, AvailableEffectParam>;
-}
-
-export interface AvailableEffectsResponse {
-  effects: AvailableEffect[];
-}
-
-export interface ApplyEffectsRequest {
-  effects_chain: EffectConfig[];
-  source_version_id?: string;
-  label?: string;
-  set_as_default?: boolean;
-}
@@ -1,86 +1,26 @@
 /**
- * Supported languages for voice generation, per engine.
- *
- * Qwen3-TTS supports 10 languages.
- * LuxTTS is English-only.
- * Chatterbox Multilingual supports 23 languages.
- * Chatterbox Turbo is English-only.
+ * Supported languages for Qwen3-TTS
+ * Based on: https://github.com/QwenLM/Qwen3-TTS
 */

-/** All languages that any engine supports. */
-export const ALL_LANGUAGES = {
-  ar: 'Arabic',
-  da: 'Danish',
-  de: 'German',
-  el: 'Greek',
+export const SUPPORTED_LANGUAGES = {
+  zh: 'Chinese',
  en: 'English',
-  es: 'Spanish',
-  fi: 'Finnish',
-  fr: 'French',
-  he: 'Hebrew',
-  hi: 'Hindi',
-  it: 'Italian',
  ja: 'Japanese',
  ko: 'Korean',
-  ms: 'Malay',
-  nl: 'Dutch',
-  no: 'Norwegian',
-  pl: 'Polish',
-  pt: 'Portuguese',
+  de: 'German',
+  fr: 'French',
  ru: 'Russian',
-  sv: 'Swedish',
-  sw: 'Swahili',
-  tr: 'Turkish',
-  zh: 'Chinese',
+  pt: 'Portuguese',
+  es: 'Spanish',
+  it: 'Italian',
 } as const;

-export type LanguageCode = keyof typeof ALL_LANGUAGES;
+export type LanguageCode = keyof typeof SUPPORTED_LANGUAGES;

-/** Per-engine supported language codes. */
-export const ENGINE_LANGUAGES: Record<string, readonly LanguageCode[]> = {
-  qwen: ['zh', 'en', 'ja', 'ko', 'de', 'fr', 'ru', 'pt', 'es', 'it'],
-  luxtts: ['en'],
-  chatterbox: [
-    'ar',
-    'da',
-    'de',
-    'el',
-    'en',
-    'es',
-    'fi',
-    'fr',
-    'he',
-    'hi',
-    'it',
-    'ja',
-    'ko',
-    'ms',
-    'nl',
-    'no',
-    'pl',
-    'pt',
-    'ru',
-    'sv',
-    'sw',
-    'tr',
-    'zh',
-  ],
-  chatterbox_turbo: ['en'],
-} as const;
+export const LANGUAGE_CODES = Object.keys(SUPPORTED_LANGUAGES) as LanguageCode[];

-/** Helper: get language options for a given engine. */
-export function getLanguageOptionsForEngine(engine: string) {
-  const codes = ENGINE_LANGUAGES[engine] ?? ENGINE_LANGUAGES.qwen;
-  return codes.map((code) => ({
-    value: code,
-    label: ALL_LANGUAGES[code],
-  }));
-}
-
-// ── Backwards-compatible exports used elsewhere ──────────────────────
-export const SUPPORTED_LANGUAGES = ALL_LANGUAGES;
-export const LANGUAGE_CODES = Object.keys(ALL_LANGUAGES) as LanguageCode[];
 export const LANGUAGE_OPTIONS = LANGUAGE_CODES.map((code) => ({
  value: code,
-  label: ALL_LANGUAGES[code],
+  label: SUPPORTED_LANGUAGES[code],
 }));
@@ -2,14 +2,11 @@
 * UI layout constants for safe area padding
 */

-const isWindows = typeof navigator !== 'undefined' && navigator.userAgent.includes('Windows');
-
 /**
 * Top safe area padding - height of the drag region bar
- * On macOS this accounts for the overlay titlebar (48px).
- * On Windows the native title bar is outside the webview, so no padding is needed.
+ * Corresponds to Tailwind's pt-12 (3rem / 48px)
 */
-export const TOP_SAFE_AREA_PADDING = isWindows ? 'pt-8' : 'pt-12';
+export const TOP_SAFE_AREA_PADDING = 'pt-12';

 /**
 * Bottom safe area padding - height of the audio player
@@ -20,13 +20,11 @@ export function useAudioRecording({
  const streamRef = useRef<MediaStream | null>(null);
  const timerRef = useRef<number | null>(null);
  const startTimeRef = useRef<number | null>(null);
-  const cancelledRef = useRef<boolean>(false);

  const startRecording = useCallback(async () => {
    try {
      setError(null);
      chunksRef.current = [];
-      cancelledRef.current = false;
      setDuration(0);

      // Check if getUserMedia is available
@@ -89,34 +87,31 @@ export function useAudioRecording({
      };

      mediaRecorder.onstop = async () => {
-        // Snapshot the cancellation flag and recorded duration immediately —
-        // cancelRecording() clears chunks and sets cancelledRef synchronously
-        // before this async handler runs, so we must check it first.
-        const wasCancelled = cancelledRef.current;
-        const recordedDuration = startTimeRef.current
-          ? (Date.now() - startTimeRef.current) / 1000
-          : undefined;
-
        const webmBlob = new Blob(chunksRef.current, { type: 'audio/webm' });

-        // Stop all tracks now that we have the data
-        streamRef.current?.getTracks().forEach((track) => {
-          track.stop();
-        });
-        streamRef.current = null;
-
-        // Don't fire completion callback if the recording was cancelled
-        if (wasCancelled) return;
-
        // Convert to WAV format to avoid needing ffmpeg on backend
        try {
          const wavBlob = await convertToWav(webmBlob);
+
+          // Pass the actual recorded duration
+          const recordedDuration = startTimeRef.current
+            ? (Date.now() - startTimeRef.current) / 1000
+            : undefined;
          onRecordingComplete?.(wavBlob, recordedDuration);
        } catch (err) {
          console.error('Error converting audio to WAV:', err);
          // Fallback to original blob if conversion fails
+          const recordedDuration = startTimeRef.current
+            ? (Date.now() - startTimeRef.current) / 1000
+            : undefined;
          onRecordingComplete?.(webmBlob, recordedDuration);
        }
+
+        // Stop all tracks
+        streamRef.current?.getTracks().forEach((track) => {
+          track.stop();
+        });
+        streamRef.current = null;
      };

      mediaRecorder.onerror = (event) => {
@@ -172,10 +167,9 @@ export function useAudioRecording({

  const cancelRecording = useCallback(() => {
    if (mediaRecorderRef.current) {
-      cancelledRef.current = true; // Must be set before stop() triggers onstop
-      chunksRef.current = [];
      mediaRecorderRef.current.stop();
      setIsRecording(false);
+      chunksRef.current = [];
      setDuration(0);
    }

@@ -4,20 +4,18 @@ import { useForm } from 'react-hook-form';
 import * as z from 'zod';
 import { useToast } from '@/components/ui/use-toast';
 import { apiClient } from '@/lib/api/client';
-import type { EffectConfig } from '@/lib/api/types';
 import { LANGUAGE_CODES, type LanguageCode } from '@/lib/constants/languages';
 import { useGeneration } from '@/lib/hooks/useGeneration';
 import { useModelDownloadToast } from '@/lib/hooks/useModelDownloadToast';
 import { useGenerationStore } from '@/stores/generationStore';
-import { useServerStore } from '@/stores/serverStore';
+import { usePlayerStore } from '@/stores/playerStore';

 const generationSchema = z.object({
-  text: z.string().min(1, '').max(50000),
+  text: z.string().min(1, 'Text is required').max(5000),
  language: z.enum(LANGUAGE_CODES as [LanguageCode, ...LanguageCode[]]),
  seed: z.number().int().optional(),
  modelSize: z.enum(['1.7B', '0.6B']).optional(),
  instruct: z.string().max(500).optional(),
-  engine: z.enum(['qwen', 'luxtts', 'chatterbox', 'chatterbox_turbo']).optional(),
 });

 export type GenerationFormValues = z.infer<typeof generationSchema>;
@@ -25,16 +23,13 @@ export type GenerationFormValues = z.infer<typeof generationSchema>;
 interface UseGenerationFormOptions {
  onSuccess?: (generationId: string) => void;
  defaultValues?: Partial<GenerationFormValues>;
-  getEffectsChain?: () => EffectConfig[] | undefined;
 }

 export function useGenerationForm(options: UseGenerationFormOptions = {}) {
  const { toast } = useToast();
  const generation = useGeneration();
-  const addPendingGeneration = useGenerationStore((state) => state.addPendingGeneration);
-  const maxChunkChars = useServerStore((state) => state.maxChunkChars);
-  const crossfadeMs = useServerStore((state) => state.crossfadeMs);
-  const normalizeAudio = useServerStore((state) => state.normalizeAudio);
+  const setAudioWithAutoPlay = usePlayerStore((state) => state.setAudioWithAutoPlay);
+  const setIsGenerating = useGenerationStore((state) => state.setIsGenerating);
  const [downloadingModelName, setDownloadingModelName] = useState<string | null>(null);
  const [downloadingDisplayName, setDownloadingDisplayName] = useState<string | null>(null);

@@ -52,7 +47,6 @@ export function useGenerationForm(options: UseGenerationFormOptions = {}) {
      seed: undefined,
      modelSize: '1.7B',
      instruct: '',
-      engine: 'qwen',
      ...options.defaultValues,
    },
  });
@@ -71,27 +65,11 @@ export function useGenerationForm(options: UseGenerationFormOptions = {}) {
    }

    try {
-      const engine = data.engine || 'qwen';
-      const modelName =
-        engine === 'luxtts'
-          ? 'luxtts'
-          : engine === 'chatterbox'
-            ? 'chatterbox-tts'
-            : engine === 'chatterbox_turbo'
-              ? 'chatterbox-turbo'
-              : `qwen-tts-${data.modelSize}`;
-      const displayName =
-        engine === 'luxtts'
-          ? 'LuxTTS'
-          : engine === 'chatterbox'
-            ? 'Chatterbox TTS'
-            : engine === 'chatterbox_turbo'
-              ? 'Chatterbox Turbo'
-              : data.modelSize === '1.7B'
-                ? 'Qwen TTS 1.7B'
-                : 'Qwen TTS 0.6B';
+      setIsGenerating(true);
+
+      const modelName = `qwen-tts-${data.modelSize}`;
+      const displayName = data.modelSize === '1.7B' ? 'Qwen TTS 1.7B' : 'Qwen TTS 0.6B';

-      // Check if model needs downloading
      try {
        const modelStatus = await apiClient.getModelStatus();
        const model = modelStatus.models.find((m) => m.model_name === modelName);
@@ -104,35 +82,24 @@ export function useGenerationForm(options: UseGenerationFormOptions = {}) {
        console.error('Failed to check model status:', error);
      }

-      const isQwen = engine === 'qwen';
-      const effectsChain = options.getEffectsChain?.();
-      // This now returns immediately with status="generating"
      const result = await generation.mutateAsync({
        profile_id: selectedProfileId,
        text: data.text,
        language: data.language,
        seed: data.seed,
-        model_size: isQwen ? data.modelSize : undefined,
-        engine,
-        instruct: isQwen ? data.instruct || undefined : undefined,
-        max_chunk_chars: maxChunkChars,
-        crossfade_ms: crossfadeMs,
-        normalize: normalizeAudio,
-        effects_chain: effectsChain?.length ? effectsChain : undefined,
+        model_size: data.modelSize,
+        instruct: data.instruct || undefined,
      });

-      // Track this generation for SSE status updates
-      addPendingGeneration(result.id);
-
-      // Reset form immediately — user can start typing again
-      form.reset({
-        text: '',
-        language: data.language,
-        seed: undefined,
-        modelSize: data.modelSize,
-        instruct: '',
-        engine: data.engine,
+      toast({
+        title: 'Generation complete!',
+        description: `Audio generated (${result.duration.toFixed(2)}s)`,
      });
+
+      const audioUrl = apiClient.getAudioUrl(result.id);
+      setAudioWithAutoPlay(audioUrl, result.id, selectedProfileId, data.text.substring(0, 50));
+
+      form.reset();
      options.onSuccess?.(result.id);
    } catch (error) {
      toast({
@@ -141,6 +108,7 @@ export function useGenerationForm(options: UseGenerationFormOptions = {}) {
        variant: 'destructive',
      });
    } finally {
+      setIsGenerating(false);
      setDownloadingModelName(null);
      setDownloadingDisplayName(null);
    }
@@ -1,154 +0,0 @@
-import { useQueryClient } from '@tanstack/react-query';
-import { useEffect, useRef } from 'react';
-import { useToast } from '@/components/ui/use-toast';
-import { apiClient } from '@/lib/api/client';
-import { useGenerationStore } from '@/stores/generationStore';
-import { usePlayerStore } from '@/stores/playerStore';
-import { useServerStore } from '@/stores/serverStore';
-
-interface GenerationStatusEvent {
-  id: string;
-  status: 'loading_model' | 'generating' | 'completed' | 'failed' | 'not_found';
-  duration?: number;
-  error?: string;
-}
-
-/**
- * Subscribes to SSE for all pending generations. When a generation completes,
- * invalidates the history query, removes it from pending, and auto-plays
- * if the player is idle.
- */
-export function useGenerationProgress() {
-  const queryClient = useQueryClient();
-  const { toast } = useToast();
-  const pendingIds = useGenerationStore((s) => s.pendingGenerationIds);
-  const removePendingGeneration = useGenerationStore((s) => s.removePendingGeneration);
-  const removePendingStoryAdd = useGenerationStore((s) => s.removePendingStoryAdd);
-  const isPlaying = usePlayerStore((s) => s.isPlaying);
-  const setAudioWithAutoPlay = usePlayerStore((s) => s.setAudioWithAutoPlay);
-  const autoplayOnGenerate = useServerStore((s) => s.autoplayOnGenerate);
-
-  // Keep refs to avoid stale closures in EventSource handlers
-  const isPlayingRef = useRef(isPlaying);
-  const autoplayRef = useRef(autoplayOnGenerate);
-  isPlayingRef.current = isPlaying;
-  autoplayRef.current = autoplayOnGenerate;
-
-  // Track active EventSource instances
-  const eventSourcesRef = useRef<Map<string, EventSource>>(new Map());
-
-  // Unmount-only cleanup — close all SSE connections when the hook is torn down
-  useEffect(() => {
-    const sources = eventSourcesRef.current;
-    return () => {
-      for (const source of sources.values()) {
-        source.close();
-      }
-      sources.clear();
-    };
-  }, []);
-
-  useEffect(() => {
-    const currentSources = eventSourcesRef.current;
-
-    // Close SSE connections for IDs no longer pending
-    for (const [id, source] of currentSources.entries()) {
-      if (!pendingIds.has(id)) {
-        source.close();
-        currentSources.delete(id);
-      }
-    }
-
-    // Open SSE connections for new pending IDs
-    for (const id of pendingIds) {
-      if (currentSources.has(id)) continue;
-
-      const url = apiClient.getGenerationStatusUrl(id);
-      const source = new EventSource(url);
-
-      source.onmessage = (event) => {
-        try {
-          const data: GenerationStatusEvent = JSON.parse(event.data);
-
-          if (data.status === 'completed') {
-            source.close();
-            currentSources.delete(id);
-            removePendingGeneration(id);
-
-            // Refresh history to pick up the completed generation
-            queryClient.invalidateQueries({ queryKey: ['history'] });
-
-            // If this generation was queued for a story, add it now
-            const storyId = removePendingStoryAdd(id);
-            if (storyId) {
-              apiClient
-                .addStoryItem(storyId, { generation_id: id })
-                .then(() => {
-                  queryClient.invalidateQueries({ queryKey: ['stories'] });
-                  queryClient.invalidateQueries({ queryKey: ['stories', storyId] });
-                  toast({
-                    title: 'Added to story',
-                    description: data.duration
-                      ? `Audio generated (${data.duration.toFixed(2)}s) and added to story`
-                      : 'Audio generated and added to story',
-                  });
-                })
-                .catch(() => {
-                  toast({
-                    title: 'Generation complete',
-                    description: 'Audio generated but failed to add to story',
-                    variant: 'destructive',
-                  });
-                });
-            } else {
-              // toast({
-              //   title: 'Generation complete!',
-              //   description: data.duration
-              //     ? `Audio generated (${data.duration.toFixed(2)}s)`
-              //     : 'Audio generated',
-              // });
-            }
-
-            // Auto-play if enabled and nothing is currently playing
-            if (autoplayRef.current && !isPlayingRef.current) {
-              const genAudioUrl = apiClient.getAudioUrl(id);
-              setAudioWithAutoPlay(genAudioUrl, id, '', '');
-            }
-          } else if (data.status === 'failed' || data.status === 'not_found') {
-            source.close();
-            currentSources.delete(id);
-            removePendingGeneration(id);
-            removePendingStoryAdd(id);
-
-            queryClient.invalidateQueries({ queryKey: ['history'] });
-
-            toast({
-              title: data.status === 'not_found' ? 'Generation not found' : 'Generation failed',
-              description: data.error || 'An error occurred during generation',
-              variant: 'destructive',
-            });
-          }
-        } catch {
-          // Ignore parse errors from heartbeats etc
-        }
-      };
-
-      source.onerror = () => {
-        // EventSource auto-reconnects, but if we get repeated errors
-        // just clean up
-        source.close();
-        currentSources.delete(id);
-        removePendingGeneration(id);
-      };
-
-      currentSources.set(id, source);
-    }
-  }, [
-    pendingIds,
-    removePendingGeneration,
-    removePendingStoryAdd,
-    queryClient,
-    toast,
-    setAudioWithAutoPlay,
-  ]);
-}
@@ -10,7 +10,7 @@ interface UseModelDownloadToastOptions {
  displayName: string;
  enabled?: boolean;
  onComplete?: () => void;
-  onError?: (error: string) => void;
+  onError?: () => void;
 }

 /**
@@ -101,7 +101,7 @@ export function useModelDownloadToast({
              break;
            case 'error':
              statusIcon = <XCircle className="h-4 w-4 text-destructive" />;
-              statusText = 'Download failed. See Problems panel for details.';
+              statusText = `Error: ${progress.error || 'Unknown error'}`;
              break;
            case 'downloading':
              statusIcon = <Loader2 className="h-4 w-4 animate-spin" />;
@@ -131,7 +131,8 @@ export function useModelDownloadToast({
                )}
              </div>
            ),
-            duration: progress.status === 'complete' || progress.status === 'error' ? 5000 : Infinity,
+            duration: progress.status === 'complete' ? 5000 : Infinity,
+            variant: progress.status === 'error' ? 'destructive' : 'default',
          });

          // Close connection and dismiss toast on completion or error
@@ -168,7 +169,7 @@ export function useModelDownloadToast({
              onComplete();
            } else if (isError && onError) {
              console.log('[useModelDownloadToast] Download error, calling onError callback');
-              onError(progress.error || 'Unknown error');
+              onError();
            }
          }
        }
@@ -1,23 +1,23 @@
 import { useCallback, useEffect, useRef, useState } from 'react';
 import { apiClient } from '@/lib/api/client';
-import type { ActiveDownloadTask } from '@/lib/api/types';
 import { useGenerationStore } from '@/stores/generationStore';
+import type { ActiveDownloadTask } from '@/lib/api/types';

 // Polling interval in milliseconds
-const POLL_INTERVAL = 30000;
+const POLL_INTERVAL = 2000;

 /**
 * Hook to monitor active tasks (downloads and generations).
 * Polls the server periodically to catch downloads triggered from anywhere
 * (transcription, generation, explicit download, etc.).
- *
+ * 
 * Returns the active downloads so components can render download toasts.
 */
 export function useRestoreActiveTasks() {
  const [activeDownloads, setActiveDownloads] = useState<ActiveDownloadTask[]>([]);
+  const setIsGenerating = useGenerationStore((state) => state.setIsGenerating);
  const setActiveGenerationId = useGenerationStore((state) => state.setActiveGenerationId);
-  const addPendingGeneration = useGenerationStore((state) => state.addPendingGeneration);
-
+  
  // Track which downloads we've seen to detect new ones
  const seenDownloadsRef = useRef<Set<string>>(new Set());

@@ -25,15 +25,15 @@ export function useRestoreActiveTasks() {
    try {
      const tasks = await apiClient.getActiveTasks();

-      // Restore pending generations (e.g., after page refresh)
+      // Update generation state
      if (tasks.generations.length > 0) {
+        setIsGenerating(true);
        setActiveGenerationId(tasks.generations[0].task_id);
-        for (const gen of tasks.generations) {
-          addPendingGeneration(gen.task_id);
-        }
      } else {
+        // Only clear if we were tracking a generation
        const currentId = useGenerationStore.getState().activeGenerationId;
        if (currentId) {
+          setIsGenerating(false);
          setActiveGenerationId(null);
        }
      }
@@ -41,14 +41,14 @@ export function useRestoreActiveTasks() {
      // Update active downloads
      // Keep track of all active downloads (including new ones)
      const currentDownloadNames = new Set(tasks.downloads.map((d) => d.model_name));
-
+      
      // Remove completed downloads from our seen set
      for (const name of seenDownloadsRef.current) {
        if (!currentDownloadNames.has(name)) {
          seenDownloadsRef.current.delete(name);
        }
      }
-
+      
      // Add new downloads to seen set
      for (const download of tasks.downloads) {
        seenDownloadsRef.current.add(download.model_name);
@@ -59,7 +59,7 @@ export function useRestoreActiveTasks() {
      // Silently fail - server might be temporarily unavailable
      console.debug('Failed to fetch active tasks:', error);
    }
-  }, [setActiveGenerationId, addPendingGeneration]);
+  }, [setIsGenerating, setActiveGenerationId]);

  useEffect(() => {
    // Fetch immediately on mount
@@ -1,15 +1,6 @@
 import { useMutation, useQuery, useQueryClient } from '@tanstack/react-query';
 import { apiClient } from '@/lib/api/client';
-import type {
-  StoryCreate,
-  StoryItemBatchUpdate,
-  StoryItemCreate,
-  StoryItemMove,
-  StoryItemReorder,
-  StoryItemSplit,
-  StoryItemTrim,
-  StoryItemVersionUpdate,
-} from '@/lib/api/types';
+import type { StoryCreate, StoryItemCreate, StoryItemBatchUpdate, StoryItemReorder, StoryItemMove, StoryItemTrim, StoryItemSplit } from '@/lib/api/types';
 import { usePlatform } from '@/platform/PlatformContext';

 export function useStories() {
@@ -118,15 +109,8 @@ export function useMoveStoryItem() {
  const queryClient = useQueryClient();

  return useMutation({
-    mutationFn: ({
-      storyId,
-      itemId,
-      data,
-    }: {
-      storyId: string;
-      itemId: string;
-      data: StoryItemMove;
-    }) => apiClient.moveStoryItem(storyId, itemId, data),
+    mutationFn: ({ storyId, itemId, data }: { storyId: string; itemId: string; data: StoryItemMove }) =>
+      apiClient.moveStoryItem(storyId, itemId, data),
    onSuccess: (_, variables) => {
      queryClient.invalidateQueries({ queryKey: ['stories'] });
      queryClient.invalidateQueries({ queryKey: ['stories', variables.storyId] });
@@ -138,15 +122,8 @@ export function useTrimStoryItem() {
  const queryClient = useQueryClient();

  return useMutation({
-    mutationFn: ({
-      storyId,
-      itemId,
-      data,
-    }: {
-      storyId: string;
-      itemId: string;
-      data: StoryItemTrim;
-    }) => apiClient.trimStoryItem(storyId, itemId, data),
+    mutationFn: ({ storyId, itemId, data }: { storyId: string; itemId: string; data: StoryItemTrim }) =>
+      apiClient.trimStoryItem(storyId, itemId, data),
    onSuccess: (_, variables) => {
      queryClient.invalidateQueries({ queryKey: ['stories'] });
      queryClient.invalidateQueries({ queryKey: ['stories', variables.storyId] });
@@ -158,15 +135,8 @@ export function useSplitStoryItem() {
  const queryClient = useQueryClient();

  return useMutation({
-    mutationFn: ({
-      storyId,
-      itemId,
-      data,
-    }: {
-      storyId: string;
-      itemId: string;
-      data: StoryItemSplit;
-    }) => apiClient.splitStoryItem(storyId, itemId, data),
+    mutationFn: ({ storyId, itemId, data }: { storyId: string; itemId: string; data: StoryItemSplit }) =>
+      apiClient.splitStoryItem(storyId, itemId, data),
    onSuccess: (_, variables) => {
      queryClient.invalidateQueries({ queryKey: ['stories'] });
      queryClient.invalidateQueries({ queryKey: ['stories', variables.storyId] });
@@ -187,26 +157,6 @@ export function useDuplicateStoryItem() {
  });
 }

-export function useSetStoryItemVersion() {
-  const queryClient = useQueryClient();
-
-  return useMutation({
-    mutationFn: ({
-      storyId,
-      itemId,
-      data,
-    }: {
-      storyId: string;
-      itemId: string;
-      data: StoryItemVersionUpdate;
-    }) => apiClient.setStoryItemVersion(storyId, itemId, data),
-    onSuccess: (_, variables) => {
-      queryClient.invalidateQueries({ queryKey: ['stories'] });
-      queryClient.invalidateQueries({ queryKey: ['stories', variables.storyId] });
-    },
-  });
-}
-
 export function useExportStoryAudio() {
  const platform = usePlatform();

@@ -215,10 +165,7 @@ export function useExportStoryAudio() {
      const blob = await apiClient.exportStoryAudio(storyId);

      // Create safe filename
-      const safeName = storyName
-        .substring(0, 50)
-        .replace(/[^a-z0-9]/gi, '-')
-        .toLowerCase();
+      const safeName = storyName.substring(0, 50).replace(/[^a-z0-9]/gi, '-').toLowerCase();
      const filename = `${safeName || 'story'}.wav`;

      await platform.filesystem.saveFile(filename, blob, [
@@ -70,16 +70,6 @@ export function useStoryPlayback(items: StoryItemDetail[] | undefined) {
    }
  }, []);

-  // Resolve the audio buffer key and URL for an item.
-  // When a version_id is pinned, use that version's audio; otherwise use the generation default.
-  const getAudioKey = (item: StoryItemDetail) =>
-    item.version_id ? `v:${item.version_id}` : item.generation_id;
-
-  const getAudioUrlForItem = (item: StoryItemDetail) =>
-    item.version_id
-      ? apiClient.getVersionAudioUrl(item.version_id)
-      : apiClient.getAudioUrl(item.generation_id);
-
  // Preload audio files as AudioBuffers
  useEffect(() => {
    if (!items || items.length === 0) {
@@ -88,12 +78,12 @@ export function useStoryPlayback(items: StoryItemDetail[] | undefined) {
      return;
    }

-    const currentKeys = new Set(items.map(getAudioKey));
+    const currentIds = new Set(items.map((item) => item.generation_id));
    const audioContext = getAudioContext();

    // Remove buffers for items that no longer exist
    for (const [id] of audioBuffersRef.current) {
-      if (!currentKeys.has(id)) {
+      if (!currentIds.has(id)) {
        audioBuffersRef.current.delete(id);
      }
    }
@@ -101,25 +91,24 @@ export function useStoryPlayback(items: StoryItemDetail[] | undefined) {
    // Preload audio for new items
    const preloadPromises: Promise<void>[] = [];
    for (const item of items) {
-      const key = getAudioKey(item);
-      if (!audioBuffersRef.current.has(key)) {
-        const audioUrl = getAudioUrlForItem(item);
-        console.log('[StoryPlayback] Preloading audio buffer:', key);
+      if (!audioBuffersRef.current.has(item.generation_id)) {
+        const audioUrl = apiClient.getAudioUrl(item.generation_id);
+        console.log('[StoryPlayback] Preloading audio buffer:', item.generation_id);

        const preloadPromise = fetch(audioUrl)
          .then((response) => response.arrayBuffer())
          .then((arrayBuffer) => audioContext.decodeAudioData(arrayBuffer))
          .then((audioBuffer) => {
-            audioBuffersRef.current.set(key, audioBuffer);
+            audioBuffersRef.current.set(item.generation_id, audioBuffer);
            console.log(
              '[StoryPlayback] Preloaded buffer:',
-              key,
+              item.generation_id,
              'duration:',
              audioBuffer.duration,
            );
          })
          .catch((err) => {
-            console.error('[StoryPlayback] Failed to preload audio:', key, err);
+            console.error('[StoryPlayback] Failed to preload audio:', item.generation_id, err);
          });

        preloadPromises.push(preloadPromise);
@@ -227,16 +216,15 @@ export function useStoryPlayback(items: StoryItemDetail[] | undefined) {
      // Schedule new sources for items that should be playing
      for (const item of shouldBePlaying) {
        if (!activeSourcesRef.current.has(item.id)) {
-          const bufferKey = getAudioKey(item);
-          const buffer = audioBuffersRef.current.get(bufferKey);
+          const buffer = audioBuffersRef.current.get(item.generation_id);
          if (!buffer) {
-            console.warn('[StoryPlayback] Buffer not loaded for:', bufferKey);
+            console.warn('[StoryPlayback] Buffer not loaded for:', item.generation_id);
            continue;
          }

          // Calculate when this item should start in AudioContext time
          const itemStartContextTime = storyTimeToContextTime(item.start_time_ms);
-
+          
          // Calculate effective duration and trim offsets
          const trimStartSec = (item.trim_start_ms || 0) / 1000;
          const trimEndSec = (item.trim_end_ms || 0) / 1000;
@@ -22,11 +22,6 @@ export function formatAudioDuration(seconds: number): string {
 * If the file has a recordedDuration property (from recording hooks),
 * use that instead of trying to read metadata. This fixes issues on Windows
 * where WebM files from MediaRecorder don't have proper duration metadata.
- *
- * For uploaded files we use AudioContext.decodeAudioData which fully decodes
- * the audio and returns the exact duration. This is more reliable than
- * HTMLMediaElement.duration which can return incorrect large values for VBR
- * MP3 files that lack a proper XING/VBRI header.
 */
 export async function getAudioDuration(
  file: File & { recordedDuration?: number },
@@ -35,39 +30,26 @@ export async function getAudioDuration(
    return file.recordedDuration;
  }

-  // Use Web Audio API for accurate duration — avoids VBR MP3 metadata issues.
-  try {
-    const audioContext = new AudioContext();
-    try {
-      const arrayBuffer = await file.arrayBuffer();
-      const audioBuffer = await audioContext.decodeAudioData(arrayBuffer);
-      return audioBuffer.duration;
-    } finally {
-      await audioContext.close();
-    }
-  } catch {
-    // Fallback: read duration from the media element (less accurate but works for WAV).
-    return new Promise((resolve, reject) => {
-      const audio = new Audio();
-      const url = URL.createObjectURL(file);
+  return new Promise((resolve, reject) => {
+    const audio = new Audio();
+    const url = URL.createObjectURL(file);

-      audio.addEventListener('loadedmetadata', () => {
-        URL.revokeObjectURL(url);
-        if (Number.isFinite(audio.duration) && audio.duration > 0) {
-          resolve(audio.duration);
-        } else {
-          reject(new Error('Audio file has invalid duration metadata'));
-        }
-      });
-
-      audio.addEventListener('error', () => {
-        URL.revokeObjectURL(url);
-        reject(new Error('Failed to load audio file'));
-      });
-
-      audio.src = url;
+    audio.addEventListener('loadedmetadata', () => {
+      URL.revokeObjectURL(url);
+      if (Number.isFinite(audio.duration) && audio.duration > 0) {
+        resolve(audio.duration);
+      } else {
+        reject(new Error('Audio file has invalid duration metadata'));
+      }
    });
-  }
+
+    audio.addEventListener('error', () => {
+      URL.revokeObjectURL(url);
+      reject(new Error('Failed to load audio file'));
+    });
+
+    audio.src = url;
+  });
 }

 /**
@@ -21,25 +21,10 @@ export function formatDate(date: string | Date): string {
  } else {
    dateObj = date;
  }
-
+  
  return formatDistance(dateObj, new Date(), { addSuffix: true }).replace(/^about /i, '');
 }

-const ENGINE_DISPLAY_NAMES: Record<string, string> = {
-  qwen: 'Qwen',
-  luxtts: 'LuxTTS',
-  chatterbox: 'Chatterbox',
-  chatterbox_turbo: 'Chatterbox Turbo',
-};
-
-export function formatEngineName(engine?: string, modelSize?: string): string {
-  const name = ENGINE_DISPLAY_NAMES[engine ?? 'qwen'] ?? engine ?? 'Qwen';
-  if (engine === 'qwen' && modelSize) {
-    return `${name} ${modelSize}`;
-  }
-  return name;
-}
-
 export function formatFileSize(bytes: number): string {
  if (bytes === 0) return '0 Bytes';
  const k = 1024;
@@ -10,8 +10,6 @@ export interface FileFilter {

 export interface PlatformFilesystem {
  saveFile(filename: string, blob: Blob, filters?: FileFilter[]): Promise<void>;
-  openPath(path: string): Promise<void>;
-  pickDirectory(title: string): Promise<string | null>;
 }

 export interface UpdateStatus {
@@ -51,9 +49,8 @@ export interface PlatformAudio {
 }

 export interface PlatformLifecycle {
-  startServer(remote?: boolean, modelsDir?: string | null): Promise<string>;
+  startServer(remote?: boolean): Promise<string>;
  stopServer(): Promise<void>;
-  restartServer(modelsDir?: string | null): Promise<string>;
  setKeepServerRunning(keep: boolean): Promise<void>;
  setupWindowCloseHandler(): Promise<void>;
  onServerReady?: () => void;
@@ -1,7 +1,6 @@
 import { createRootRoute, createRoute, createRouter, Outlet } from '@tanstack/react-router';
 import { AppFrame } from '@/components/AppFrame/AppFrame';
 import { AudioTab } from '@/components/AudioTab/AudioTab';
-import { EffectsTab } from '@/components/EffectsTab/EffectsTab';
 import { MainEditor } from '@/components/MainEditor/MainEditor';
 import { ModelsTab } from '@/components/ModelsTab/ModelsTab';
 import { ServerTab } from '@/components/ServerTab/ServerTab';
@@ -9,10 +8,8 @@ import { Sidebar } from '@/components/Sidebar';
 import { StoriesTab } from '@/components/StoriesTab/StoriesTab';
 import { Toaster } from '@/components/ui/toaster';
 import { VoicesTab } from '@/components/VoicesTab/VoicesTab';
-import { useGenerationProgress } from '@/lib/hooks/useGenerationProgress';
 import { useModelDownloadToast } from '@/lib/hooks/useModelDownloadToast';
 import { MODEL_DISPLAY_NAMES, useRestoreActiveTasks } from '@/lib/hooks/useRestoreActiveTasks';
-
 // Simple platform check that works in both web and Tauri
 const isMacOS = () => navigator.platform.toLowerCase().includes('mac');

@@ -21,9 +18,6 @@ function RootLayout() {
  // Monitor active downloads/generations and show toasts for them
  const activeDownloads = useRestoreActiveTasks();

-  // Subscribe to SSE for pending generations — handles completion, auto-play, and history refresh
-  useGenerationProgress();
-
  return (
    <AppFrame>
      <div className="flex flex-1 min-h-0 overflow-hidden">
@@ -106,13 +100,6 @@ const audioRoute = createRoute({
  component: AudioTab,
 });

-// Effects route
-const effectsRoute = createRoute({
-  getParentRoute: () => rootRoute,
-  path: '/effects',
-  component: EffectsTab,
-});
-
 // Models route
 const modelsRoute = createRoute({
  getParentRoute: () => rootRoute,
@@ -133,7 +120,6 @@ const routeTree = rootRoute.addChildren([
  storiesRoute,
  voicesRoute,
  audioRoute,
-  effectsRoute,
  modelsRoute,
  serverRoute,
 ]);
@@ -1,26 +0,0 @@
-import { create } from 'zustand';
-import type { EffectConfig } from '@/lib/api/types';
-
-interface EffectsStore {
-  selectedPresetId: string | null;
-  setSelectedPresetId: (id: string | null) => void;
-
-  // Working chain for the detail panel (editing a preset or building a new one)
-  workingChain: EffectConfig[];
-  setWorkingChain: (chain: EffectConfig[]) => void;
-
-  // Track if editing an existing preset vs creating new
-  isCreatingNew: boolean;
-  setIsCreatingNew: (v: boolean) => void;
-}
-
-export const useEffectsStore = create<EffectsStore>((set) => ({
-  selectedPresetId: null,
-  setSelectedPresetId: (id) => set({ selectedPresetId: id, isCreatingNew: false }),
-
-  workingChain: [],
-  setWorkingChain: (chain) => set({ workingChain: chain }),
-
-  isCreatingNew: false,
-  setIsCreatingNew: (v) => set({ isCreatingNew: v, ...(v && { selectedPresetId: null }) }),
-}));
@@ -1,58 +1,15 @@
 import { create } from 'zustand';

 interface GenerationState {
-  /** IDs of generations currently in progress */
-  pendingGenerationIds: Set<string>;
-  /** Whether any generation is in progress (derived from pendingGenerationIds) */
  isGenerating: boolean;
-  /** Map of generationId → storyId for deferred story additions */
-  pendingStoryAdds: Map<string, string>;
-  addPendingGeneration: (id: string) => void;
-  removePendingGeneration: (id: string) => void;
-  addPendingStoryAdd: (generationId: string, storyId: string) => void;
-  removePendingStoryAdd: (generationId: string) => string | undefined;
-  setActiveGenerationId: (id: string | null) => void;
  activeGenerationId: string | null;
+  setIsGenerating: (generating: boolean) => void;
+  setActiveGenerationId: (id: string | null) => void;
 }

-export const useGenerationStore = create<GenerationState>((set, get) => ({
-  pendingGenerationIds: new Set(),
+export const useGenerationStore = create<GenerationState>((set) => ({
  isGenerating: false,
  activeGenerationId: null,
-  pendingStoryAdds: new Map(),
-
-  addPendingGeneration: (id) =>
-    set((state) => {
-      const next = new Set(state.pendingGenerationIds);
-      next.add(id);
-      return { pendingGenerationIds: next, isGenerating: true };
-    }),
-
-  removePendingGeneration: (id) =>
-    set((state) => {
-      const next = new Set(state.pendingGenerationIds);
-      next.delete(id);
-      return { pendingGenerationIds: next, isGenerating: next.size > 0 };
-    }),
-
-  addPendingStoryAdd: (generationId, storyId) =>
-    set((state) => {
-      const next = new Map(state.pendingStoryAdds);
-      next.set(generationId, storyId);
-      return { pendingStoryAdds: next };
-    }),
-
-  removePendingStoryAdd: (generationId) => {
-    const storyId = get().pendingStoryAdds.get(generationId);
-    if (storyId) {
-      set((state) => {
-        const next = new Map(state.pendingStoryAdds);
-        next.delete(generationId);
-        return { pendingStoryAdds: next };
-      });
-    }
-    return storyId;
-  },
-
+  setIsGenerating: (generating) => set({ isGenerating: generating }),
  setActiveGenerationId: (id) => set({ activeGenerationId: id }),
 }));
@@ -13,21 +13,6 @@ interface ServerStore {

  keepServerRunningOnClose: boolean;
  setKeepServerRunningOnClose: (keepRunning: boolean) => void;
-
-  maxChunkChars: number;
-  setMaxChunkChars: (value: number) => void;
-
-  crossfadeMs: number;
-  setCrossfadeMs: (value: number) => void;
-
-  normalizeAudio: boolean;
-  setNormalizeAudio: (value: boolean) => void;
-
-  autoplayOnGenerate: boolean;
-  setAutoplayOnGenerate: (value: boolean) => void;
-
-  customModelsDir: string | null;
-  setCustomModelsDir: (dir: string | null) => void;
 }

 export const useServerStore = create<ServerStore>()(
@@ -44,21 +29,6 @@ export const useServerStore = create<ServerStore>()(

      keepServerRunningOnClose: false,
      setKeepServerRunningOnClose: (keepRunning) => set({ keepServerRunningOnClose: keepRunning }),
-
-      maxChunkChars: 800,
-      setMaxChunkChars: (value) => set({ maxChunkChars: value }),
-
-      crossfadeMs: 50,
-      setCrossfadeMs: (value) => set({ crossfadeMs: value }),
-
-      normalizeAudio: true,
-      setNormalizeAudio: (value) => set({ normalizeAudio: value }),
-
-      autoplayOnGenerate: true,
-      setAutoplayOnGenerate: (value) => set({ autoplayOnGenerate: value }),
-
-      customModelsDir: null,
-      setCustomModelsDir: (dir) => set({ customModelsDir: dir }),
    }),
    {
      name: 'voicebox-server',
@@ -31,10 +31,6 @@ interface UIStore {
  selectedProfileId: string | null;
  setSelectedProfileId: (id: string | null) => void;

-  // Selected voice in Voices tab inspector
-  selectedVoiceId: string | null;
-  setSelectedVoiceId: (id: string | null) => void;
-
  // Profile form draft (for persisting create voice modal state)
  profileFormDraft: ProfileFormDraft | null;
  setProfileFormDraft: (draft: ProfileFormDraft | null) => void;
@@ -59,9 +55,6 @@ export const useUIStore = create<UIStore>((set) => ({
  selectedProfileId: null,
  setSelectedProfileId: (id) => set({ selectedProfileId: id }),

-  selectedVoiceId: null,
-  setSelectedVoiceId: (id) => set({ selectedVoiceId: id }),
-
  profileFormDraft: null,
  setProfileFormDraft: (draft) => set({ profileFormDraft: draft }),

@@ -1,135 +1,459 @@
-# Voicebox Backend
+# voicebox Backend

-FastAPI server powering voice cloning, speech generation, and audio processing. Runs locally as a Tauri sidecar or standalone via `python -m backend.main`.
+Production-quality FastAPI backend for Qwen3-TTS voice cloning.

-## Running
+## Features

-```bash
-# Via justfile (recommended)
-just dev:server
-
-# Standalone
-python -m backend.main --host 127.0.0.1 --port 17493
-
-# With custom data directory
-python -m backend.main --data-dir /path/to/data
-```
-
-The server auto-initializes the SQLite database on first startup. Models are downloaded from HuggingFace on first use.
+- ✅ **Voice Profile Management** - Create, update, delete voice profiles with multi-sample support
+- ✅ **Voice Cloning** - Generate speech using voice profiles with caching
+- ✅ **Generation History** - Full history tracking with search and filtering
+- ✅ **Transcription** - Whisper-based audio transcription
+- ✅ **Multi-Sample Profiles** - Combine multiple reference samples for better quality
+- ✅ **Voice Prompt Caching** - Dual memory + disk caching for fast generation
+- ✅ **Audio Validation** - Automatic validation of reference audio quality
+- ✅ **Model Management** - Lazy loading and VRAM management

 ## Architecture

 ```
 backend/
-  app.py                  # FastAPI app factory, CORS, lifecycle events
-  main.py                 # Entry point (imports app, runs uvicorn)
-  config.py               # Data directory paths and configuration
-  models.py               # Pydantic request/response schemas
-  server.py               # Tauri sidecar launcher, parent-pid watchdog
-
-  routes/                 # Thin HTTP handlers — validation, delegation, response formatting
-  services/               # Business logic, CRUD, orchestration
-  backends/               # TTS/STT engine implementations (MLX, PyTorch, etc.)
-  database/               # ORM models, session management, migrations, seed data
-  utils/                  # Shared utilities (audio, effects, caching, progress tracking)
+├── main.py              # FastAPI app with all routes
+├── models.py            # Pydantic request/response models
+├── platform_detect.py   # Platform detection for backend selection
+├── tts.py              # TTS backend abstraction (delegates to MLX or PyTorch)
+├── transcribe.py       # STT backend abstraction (delegates to MLX or PyTorch)
+├── backends/           # Backend implementations
+│   ├── __init__.py     # Backend factory and protocols
+│   ├── mlx_backend.py  # MLX backend (Apple Silicon)
+│   └── pytorch_backend.py  # PyTorch backend (Windows/Linux/Intel)
+├── profiles.py         # Voice profile CRUD
+├── history.py          # Generation history
+├── studio.py           # Audio editing (TODO)
+├── database.py         # SQLite ORM
+└── utils/
+    ├── audio.py        # Audio processing utilities
+    ├── cache.py        # Voice prompt caching
+    └── validation.py   # Input validation
 ```

-### Request flow
+### Backend Selection

-```
-HTTP request
-  -> routes/        (validate input, parse params)
-  -> services/      (business logic, database queries, orchestration)
-  -> backends/      (TTS/STT inference)
-  -> utils/         (audio processing, effects, caching)
+Voicebox automatically selects the best backend based on platform:
+
+- **Apple Silicon (M1/M2/M3)**: Uses MLX backend with native Metal acceleration (4-5x faster)
+- **Windows/Linux/Intel Mac**: Uses PyTorch backend (CUDA GPU if available, CPU fallback)
+
+The backend is detected at runtime via `platform_detect.py`. Both backends implement the same interface, so the API remains consistent across platforms.
+
+## API Endpoints
+
+### Health & Info
+
+#### `GET /`
+Root endpoint with version info.
+
+#### `GET /health`
+Health check with model status.
+
+**Response:**
+```json
+{
+  "status": "healthy",
+  "model_loaded": true,
+  "gpu_available": true,
+  "gpu_type": "Metal (Apple Silicon via MLX)",
+  "backend_type": "mlx",
+  "vram_used_mb": null
+}
 ```

-Route handlers are intentionally thin. They validate input, delegate to a service function, and format the response. All business logic lives in `services/`.
+**Backend Types:**
+- `"mlx"` - MLX backend (Apple Silicon with Metal acceleration)
+- `"pytorch"` - PyTorch backend (Windows/Linux/Intel Mac)

-### Key modules
+### Voice Profiles

-**services/generation.py** -- Single `run_generation()` function that handles all three generation modes (generate, retry, regenerate). Manages model loading, voice prompt creation, chunked inference, normalization, effects, and version persistence.
+**Note:** The database is automatically initialized when the server starts. No manual setup required.

-**services/task_queue.py** -- Serial generation queue. Ensures only one GPU inference runs at a time. Background tasks are tracked to prevent garbage collection.
+#### `POST /profiles`
+Create a new voice profile.

-**backends/__init__.py** -- Protocol definitions (`TTSBackend`, `STTBackend`), model config registry, and factory functions. Adding a new engine means implementing the protocol and registering a config entry.
+**Request:**
+```json
+{
+  "name": "My Voice",
+  "description": "Optional description",
+  "language": "en"
+}
+```

-**backends/base.py** -- Shared utilities used across all engine implementations: HuggingFace cache checks, device detection, voice prompt combination, progress tracking.
+**Response:**
+```json
+{
+  "id": "uuid",
+  "name": "My Voice",
+  "description": "Optional description",
+  "language": "en",
+  "created_at": "2024-01-01T00:00:00Z",
+  "updated_at": "2024-01-01T00:00:00Z"
+}
+```

-**database/** -- SQLAlchemy ORM models with a re-exporting `__init__.py` for backward compatibility. Migrations run automatically on startup.
+#### `GET /profiles`
+List all voice profiles.

-### Backend selection
+#### `GET /profiles/{profile_id}`
+Get a specific profile.

-The server detects the best inference backend at startup:
+#### `PUT /profiles/{profile_id}`
+Update a profile.

-| Platform | Backend | Acceleration |
-|----------|---------|-------------|
-| macOS (Apple Silicon) | MLX | Metal / Neural Engine |
-| Windows / Linux (NVIDIA) | PyTorch | CUDA |
-| Linux (AMD) | PyTorch | ROCm |
-| Intel Arc | PyTorch | IPEX / XPU |
-| Windows (any GPU) | PyTorch | DirectML |
-| Any | PyTorch | CPU fallback |
+#### `DELETE /profiles/{profile_id}`
+Delete a profile and all associated samples.

-Detection is handled by `utils/platform_detect.py`. Both backends implement the same `TTSBackend` protocol, so the API layer is engine-agnostic.
+#### `POST /profiles/{profile_id}/samples`
+Add a sample to a profile.

-## API
+**Form Data:**
+- `file`: Audio file (WAV, MP3, etc.)
+- `reference_text`: Transcript of the audio

-90 endpoints organized by domain. Full interactive documentation available at `http://localhost:17493/docs` when the server is running.
+**Response:**
+```json
+{
+  "id": "sample-uuid",
+  "profile_id": "profile-uuid",
+  "audio_path": "/path/to/sample.wav",
+  "reference_text": "This is my voice"
+}
+```

-| Domain | Prefix | Description |
-|--------|--------|-------------|
-| Health | `/`, `/health` | Server status, GPU info, filesystem checks |
-| Profiles | `/profiles` | Voice profile CRUD, samples, avatars, import/export |
-| Channels | `/channels` | Audio channel management and voice assignment |
-| Generation | `/generate` | TTS generation, retry, regenerate, status SSE |
-| History | `/history` | Generation history, search, favorites, export |
-| Transcription | `/transcribe` | Whisper-based audio-to-text |
-| Stories | `/stories` | Multi-track timeline editor, audio export |
-| Effects | `/effects` | Effect presets, preview, version management |
-| Audio | `/audio`, `/samples` | Audio file serving |
-| Models | `/models` | Load, unload, download, migrate, status |
-| Tasks | `/tasks`, `/cache` | Active task tracking, cache management |
-| CUDA | `/backend/cuda-*` | CUDA binary download and management |
+#### `GET /profiles/{profile_id}/samples`
+List all samples for a profile.

-### Quick examples
+#### `DELETE /profiles/samples/{sample_id}`
+Delete a specific sample.
+
+### Generation
+
+#### `POST /generate`
+Generate speech from text using a voice profile.
+
+**Request:**
+```json
+{
+  "profile_id": "uuid",
+  "text": "Hello, this is a test.",
+  "language": "en",
+  "seed": 42
+}
+```
+
+**Response:**
+```json
+{
+  "id": "generation-uuid",
+  "profile_id": "profile-uuid",
+  "text": "Hello, this is a test.",
+  "language": "en",
+  "audio_path": "/path/to/audio.wav",
+  "duration": 2.5,
+  "seed": 42,
+  "created_at": "2024-01-01T00:00:00Z"
+}
+```
+
+### History
+
+#### `GET /history`
+List generation history with optional filters.
+
+**Query Parameters:**
+- `profile_id` (optional): Filter by profile
+- `search` (optional): Search in text content
+- `limit` (default: 50): Results per page
+- `offset` (default: 0): Pagination offset
+
+#### `GET /history/{generation_id}`
+Get a specific generation.
+
+#### `DELETE /history/{generation_id}`
+Delete a generation.
+
+#### `GET /history/stats`
+Get generation statistics.
+
+**Response:**
+```json
+{
+  "total_generations": 100,
+  "total_duration_seconds": 250.5,
+  "generations_by_profile": {
+    "profile-uuid-1": 50,
+    "profile-uuid-2": 50
+  }
+}
+```
+
+### Audio Files
+
+#### `GET /audio/{generation_id}`
+Download generated audio file.
+
+Returns WAV file with appropriate headers.
+
+### Transcription
+
+#### `POST /transcribe`
+Transcribe audio file to text.
+
+**Form Data:**
+- `file`: Audio file
+- `language` (optional): Language hint (en or zh)
+
+**Response:**
+```json
+{
+  "text": "Transcribed text here",
+  "duration": 5.5
+}
+```
+
+### Model Management
+
+#### `POST /models/load`
+Manually load TTS model.
+
+**Query Parameters:**
+- `model_size`: Model size (1.7B or 0.6B)
+
+#### `POST /models/unload`
+Unload TTS model to free memory.
+
+## Database Schema
+
+### profiles
+- `id`: UUID primary key
+- `name`: Profile name (unique)
+- `description`: Optional description
+- `language`: Language code (en/zh)
+- `created_at`: Creation timestamp
+- `updated_at`: Last update timestamp
+
+### profile_samples
+- `id`: UUID primary key
+- `profile_id`: Foreign key to profiles
+- `audio_path`: Path to audio file
+- `reference_text`: Transcript
+
+### generations
+- `id`: UUID primary key
+- `profile_id`: Foreign key to profiles
+- `text`: Generated text
+- `language`: Language code
+- `audio_path`: Path to audio file
+- `duration`: Duration in seconds
+- `seed`: Random seed (optional)
+- `created_at`: Creation timestamp
+
+### projects
+- `id`: UUID primary key
+- `name`: Project name
+- `data`: JSON data
+- `created_at`: Creation timestamp
+- `updated_at`: Last update timestamp
+
+## File Structure
+
+```
+data/
+├── profiles/
+│   └── {profile_id}/
+│       ├── {sample_id}.wav
+│       └── ...
+├── generations/
+│   └── {generation_id}.wav
+├── cache/
+│   └── {hash}.prompt
+├── projects/
+│   └── {project_id}.json
+└── voicebox.db
+```
+
+## Setup
+
+### 1. Install Dependencies

 ```bash
-# Generate speech
-curl -X POST http://localhost:17493/generate \
+pip install -r requirements.txt
+```
+
+**Note:** On Apple Silicon, also install MLX dependencies for faster inference:
+```bash
+pip install -r requirements-mlx.txt
+```
+
+### 2. Download Models (Automatic)
+
+The Qwen3-TTS models are automatically downloaded from HuggingFace Hub on first use, similar to how Whisper models work.
+
+**No manual download required!** The models will be cached locally after the first download.
+
+Available models:
+- **1.7B** (recommended): `Qwen/Qwen3-TTS-12Hz-1.7B-Base` (~4GB)
+- **0.6B** (faster): `Qwen/Qwen3-TTS-12Hz-0.6B-Base` (~2GB)
+
+**Note:** The first generation will take longer as the model downloads. Subsequent generations will use the cached model.
+
+#### Manual Download (Optional)
+
+If you prefer to download models manually or have limited internet during runtime:
+
+```bash
+# Install huggingface-cli
+pip install huggingface_hub
+
+# Download 1.7B model
+huggingface-cli download Qwen/Qwen3-TTS-12Hz-1.7B-Base
+
+# Or use Python
+python -c "from huggingface_hub import snapshot_download; snapshot_download('Qwen/Qwen3-TTS-12Hz-1.7B-Base')"
+```
+
+Models are cached in `~/.cache/huggingface/hub/` by default.
+
+### 4. Run Server
+
+```bash
+# Development (local only)
+python -m backend.main
+
+# Production (allow remote access)
+python -m backend.main --host 0.0.0.0 --port 8000
+```
+
+## Usage Examples
+
+### Creating a Voice Profile
+
+```bash
+# 1. Create profile
+curl -X POST http://localhost:8000/profiles \
  -H "Content-Type: application/json" \
-  -d '{"text": "Hello world", "profile_id": "...", "language": "en"}'
+  -d '{"name": "My Voice", "language": "en"}'

-# List profiles
-curl http://localhost:17493/profiles
+# Response: {"id": "abc-123", ...}

-# Stream generation status (SSE)
-curl http://localhost:17493/generate/{id}/status
+# 2. Add sample
+curl -X POST http://localhost:8000/profiles/abc-123/samples \
+  -F "file=@sample.wav" \
+  -F "reference_text=This is my voice sample"
 ```

-## Data directory
-
-```
-{data_dir}/
-  voicebox.db             # SQLite database
-  profiles/{id}/          # Voice samples per profile
-  generations/            # Generated audio files
-  cache/                  # Voice prompt cache (memory + disk)
-  backends/               # Downloaded CUDA binary (if applicable)
-```
-
-Default location is the OS-specific app data directory. Override with `--data-dir` or the `VOICEBOX_DATA_DIR` environment variable.
-
-## Code quality
-
-Linting and formatting are enforced by [ruff](https://docs.astral.sh/ruff/), configured in `pyproject.toml`. See `STYLE_GUIDE.md` for conventions.
+### Generating Speech

 ```bash
-just check-python       # lint + format check
-just fix-python         # auto-fix lint issues + reformat
-just test               # run pytest
+curl -X POST http://localhost:8000/generate \
+  -H "Content-Type: application/json" \
+  -d '{
+    "profile_id": "abc-123",
+    "text": "Hello, this is a test.",
+    "language": "en",
+    "seed": 42
+  }'
+
+# Response: {"id": "gen-456", "audio_path": "/path/to/audio.wav", ...}
+
+# Download audio
+curl http://localhost:8000/audio/gen-456 -o output.wav
 ```

-## Dependencies
+### Transcribing Audio

-Runtime dependencies are in `requirements.txt`. macOS-only MLX dependencies are in `requirements-mlx.txt`. Dev tools (ruff, pytest) are installed automatically by `just setup-python`.
+```bash
+curl -X POST http://localhost:8000/transcribe \
+  -F "file=@audio.wav" \
+  -F "language=en"
+
+# Response: {"text": "Transcribed text", "duration": 5.5}
+```
+
+## Advanced Features
+
+### Multi-Sample Profiles
+
+Add multiple samples to a profile for better quality:
+
+```bash
+# Add first sample
+curl -X POST http://localhost:8000/profiles/abc-123/samples \
+  -F "file=@sample1.wav" \
+  -F "reference_text=First sample"
+
+# Add second sample
+curl -X POST http://localhost:8000/profiles/abc-123/samples \
+  -F "file=@sample2.wav" \
+  -F "reference_text=Second sample"
+
+# Generation will automatically combine all samples
+```
+
+### Voice Prompt Caching
+
+Voice prompts are automatically cached for faster generation:
+- First generation: ~5-10 seconds (creates prompt)
+- Subsequent generations: ~1-2 seconds (uses cached prompt)
+
+Cache is stored in `data/cache/` and persists across server restarts.
+
+### VRAM Management
+
+Models are lazy-loaded and can be manually unloaded:
+
+```bash
+# Unload TTS model
+curl -X POST http://localhost:8000/models/unload
+
+# Load specific model size
+curl -X POST "http://localhost:8000/models/load?model_size=0.6B"
+```
+
+## Error Handling
+
+All endpoints return proper HTTP status codes:
+
+- `200 OK`: Success
+- `400 Bad Request`: Invalid input
+- `404 Not Found`: Resource not found
+- `500 Internal Server Error`: Server error
+
+Error responses include details:
+
+```json
+{
+  "detail": "Profile not found"
+}
+```
+
+## Performance Tips
+
+1. **Use multi-sample profiles** - Better quality than single sample
+2. **Let caching work** - Voice prompts are cached automatically
+3. **Use 0.6B model on CPU** - Faster than 1.7B with acceptable quality
+4. **Use 1.7B model on GPU** - Best quality, still fast
+5. **Unload Whisper after transcription** - Frees VRAM for TTS
+
+## TODO
+
+- [ ] WebSocket support for generation progress
+- [ ] Batch generation endpoint
+- [ ] Audio effects (M3GAN, etc.)
+- [ ] Voice design (text-to-voice)
+- [ ] Audio studio timeline features
+- [ ] Project management
+- [ ] Authentication & rate limiting
+- [ ] Export/import profiles
+
+## License
+
+See main project LICENSE.
@@ -1,404 +0,0 @@
-# Python Style Guide
-
-Target: **Python 3.12+** | Formatter/Linter: **Ruff** | Config: `backend/pyproject.toml`
-
-This guide codifies the conventions used across the backend, and prescribes the target style for code written during the refactor (Phases 3-6). Existing code should be migrated incrementally -- don't reformat entire files in unrelated PRs.
-
---
-
-## Formatting
-
-Enforced by `ruff format` (Black-compatible).
-
- **Line length**: 120 characters.
- **Indent**: 4 spaces. No tabs.
- **Trailing commas**: Required on multi-line function signatures, arguments, collections.
- **Quotes**: Double quotes (`"`) for strings. Single quotes are acceptable in f-string expressions and dict keys inside f-strings where avoiding escapes improves readability.
-
-Run: `ruff format backend/`
-
---
-
-## Imports
-
-Enforced by ruff's `isort` rules (rule set `I`).
-
-**Grouping** -- three blocks separated by a blank line:
-
-```python
-import asyncio                          # 1. stdlib
-from pathlib import Path
-
-import numpy as np                      # 2. third-party
-from fastapi import APIRouter, HTTPException
-from sqlalchemy.orm import Session
-
-from backend.config import get_data_dir  # 3. local (absolute)
-from .database import get_db            #    or relative
-```
-
-**Rules:**
- Within the `backend` package, use **relative imports** for sibling/child modules: `from .database import get_db`, `from ..utils.audio import load_audio`.
- Absolute imports are fine for top-level references from entry points (`main.py`, `server.py`).
- Never use wildcard imports (`from module import *`).
- One import per line for `from X import Y` when there are 4+ names; below that, comma-separated is fine.
- **Lazy imports** are acceptable for heavy dependencies (torch, transformers, mlx) inside functions to reduce startup time. Add a comment: `# lazy: heavy import`.
-
---
-
-## Type Annotations
-
-Python 3.12 means we use **built-in generics and union syntax natively**. No `from __future__ import annotations`, no `typing.List`/`typing.Dict`.
-
-```python
-# Yes
-def process(items: list[str], config: dict[str, int] | None = None) -> tuple[int, str]: ...
-
-# No
-from typing import List, Dict, Optional, Tuple
-def process(items: List[str], config: Optional[Dict[str, int]] = None) -> Tuple[int, str]: ...
-```
-
-**What to annotate:**
- All public function signatures (parameters + return type).
- Private functions: parameters at minimum; return type encouraged.
- Module-level variables: only when the type isn't obvious from the assignment.
- Route handlers: parameters are annotated via FastAPI's dependency injection. Add explicit `-> SomeResponse` return types when the route doesn't use `response_model`.
-
-**Imports from `typing` that are still needed** (no built-in equivalent):
-`Literal`, `TypeAlias`, `Protocol`, `runtime_checkable`, `Callable`, `Any`, `ClassVar`, `TypeVar`, `overload`, `TYPE_CHECKING`.
-
-Use `collections.abc` for abstract types: `Sequence`, `Mapping`, `Iterable`, `Iterator`, `Generator`.
-
---
-
-## Naming
-
-| Thing | Convention | Example |
-|-------|-----------|---------|
-| Module | `snake_case` | `task_queue.py` |
-| Class | `PascalCase` | `ProgressManager` |
-| Function / method | `snake_case` | `create_profile` |
-| Variable | `snake_case` | `sample_rate` |
-| Constant | `UPPER_SNAKE_CASE` | `DEFAULT_SAMPLE_RATE` |
-| Private | `_leading_underscore` | `_generation_queue` |
-| Type alias | `PascalCase` | `EffectChain = list[dict[str, Any]]` |
-
-**Specific conventions:**
- Database ORM models imported with `DB` prefix alias: `from .database import VoiceProfile as DBVoiceProfile`.
- Pydantic models use descriptive suffixes: `VoiceProfileCreate`, `VoiceProfileResponse`, `GenerationRequest`.
- Backend classes use engine-name prefix: `MLXTTSBackend`, `PyTorchSTTBackend`.
-
---
-
-## Docstrings
-
-**Google style**. Required on all public functions, classes, and modules.
-
-```python
-def combine_voice_prompts(
-    profile_dir: Path,
-    *,
-    target_sr: int = 24000,
-) -> tuple[np.ndarray, int]:
-    """Load and concatenate all voice prompt files for a profile.
-
-    Reads .wav/.mp3/.flac files from the profile directory, resamples to
-    the target sample rate, normalizes, and concatenates into a single array.
-
-    Args:
-        profile_dir: Path to the voice profile directory containing audio files.
-        target_sr: Target sample rate for the output. Defaults to 24000.
-
-    Returns:
-        Tuple of (concatenated audio array, sample rate).
-
-    Raises:
-        FileNotFoundError: If profile_dir does not exist.
-        ValueError: If no valid audio files are found.
-    """
-```
-
-**Short form** is fine for simple functions:
-
-```python
-def get_db_path() -> Path:
-    """Get the path to the SQLite database file."""
-```
-
-**When to skip**: Private helpers under ~5 lines where the name and signature make intent obvious.
-
-**Module docstrings**: A single sentence at the top of every file describing its purpose.
-
-```python
-"""Voice profile CRUD operations."""
-```
-
---
-
-## Comments
-
-Comments explain **why**, not **what**. If the code needs a comment to explain what it does, the code should be rewritten to be clearer. The exceptions are non-obvious performance choices, external constraints, and concurrency/race-condition reasoning -- those always deserve a comment.
-
-### No section dividers
-
-Do not use ASCII dividers to create visual sections in files:
-
-```python
-# No -- any of these:
-# ============================================
-# GENERATION ENDPOINTS
-# ============================================
-
-# ---------------------------------------------------------------------------
-# Device detection
-# ---------------------------------------------------------------------------
-
-# --- Load model --------------------------------------------------
-```
-
-If a file needs section dividers to be navigable, the file is too long. Split it into modules. Within a function, if you need labeled sections to follow the logic, extract those sections into named functions.
-
-### Inline comments
-
-Inline comments (end-of-line) are fine when they add information the code can't express:
-
-```python
-# Yes -- explains a non-obvious constraint or gives context:
-audio, sr = load_audio(path, sr=24000)  # Qwen expects 24kHz mono
-_generation_queue: asyncio.Queue = None  # type: ignore  # initialized at startup
-"tauri://localhost",         # Tauri webview (macOS)
-
-# No -- restates the code:
-# Check if profile name already exists
-existing = db.query(DBVoiceProfile).filter_by(name=data.name).first()
-
-# Delete from database
-db.delete(sample)
-
-# Update fields
-profile.name = data.name
-```
-
-Delete comments that narrate what the next line of code obviously does. If the function name, variable name, or method call already communicates intent, the comment is noise.
-
-### Block comments
-
-Use block comments for **why** explanations -- constraints, workarounds, non-obvious decisions:
-
-```python
-# PyInstaller + multiprocessing: child processes re-execute the frozen binary
-# with internal arguments. freeze_support() handles this and exits early.
-multiprocessing.freeze_support()
-
-# Mark any stale "generating" records as failed -- these are leftovers
-# from a previous process that was killed mid-generation.
-db.query(Generation).filter_by(status="generating").update({"status": "failed"})
-```
-
-Keep block comments tight. Two to three lines is normal. If you need a paragraph, it probably belongs in the docstring or a design doc.
-
-### Linter/type-checker suppression
-
-Always add a reason after `noqa` and `type: ignore`:
-
-```python
-import intel_extension_for_pytorch  # noqa: F401 -- side-effect import enables XPU
-_queue: asyncio.Queue = None  # type: ignore[assignment]  # initialized at startup
-```
-
-Bare `# noqa` or `# type: ignore` with no explanation are not allowed.
-
-### TODO / FIXME
-
-Use sparingly. Every `TODO` must include a brief description of what needs doing. Don't use them as a substitute for tracking work properly:
-
-```python
-# TODO: replace with async SQLAlchemy once CRUD modules are migrated (Phase 5)
-result = await asyncio.to_thread(profiles.get_profile, profile_id, db)
-```
-
-Never commit `HACK`, `XXX`, or `FIXME` -- fix the problem or file an issue.
-
-### Commented-out code
-
-Delete it. That's what git is for. If you need to document that something was intentionally removed, a short tombstone comment is acceptable:
-
-```python
-# Removed config.json-only check -- too lenient, doesn't confirm weights exist.
-```
-
---
-
-## Error Handling
-
-The refactor is standardizing on a **two-layer pattern**:
-
-### 1. Domain layer -- raise plain exceptions
-
-CRUD modules and services raise `ValueError`, `FileNotFoundError`, or (post-refactor) custom exceptions defined in `backend/errors.py`:
-
-```python
-# backend/errors.py  (to be created in Phase 4)
-class NotFoundError(Exception):
-    """Raised when a requested resource does not exist."""
-
-class ConflictError(Exception):
-    """Raised on uniqueness constraint violations."""
-```
-
-```python
-# In a service or CRUD module:
-raise NotFoundError(f"Profile {profile_id} not found")
-```
-
-### 2. Route layer -- translate to HTTPException
-
-Route handlers catch domain exceptions and convert:
-
-```python
-@router.post("/profiles")
-async def create_profile(data: VoiceProfileCreate, db: Session = Depends(get_db)):
-    try:
-        return await profiles.create_profile(data, db)
-    except ConflictError as e:
-        raise HTTPException(status_code=409, detail=str(e))
-```
-
-**Background tasks** catch `Exception` broadly, log with `logger.exception()`, and update the task status to `"failed"`.
-
-**Never**: silently swallow exceptions, use bare `except:`, or catch `BaseException`.
-
---
-
-## Async
-
-### Rules for the refactor
-
-1. **Don't declare `async def` unless the function awaits something.** Several service modules still declare `async def` without awaiting -- these should be migrated to sync functions with `asyncio.to_thread()` at the route layer, or to real async SQLAlchemy.
-2. **CPU-bound work** (audio processing, numpy operations) goes through `asyncio.to_thread()`:
-   ```python
-   audio, sr = await asyncio.to_thread(load_audio, source_path)
-   ```
-3. **GPU-bound TTS inference** is serialized through the generation queue (`services/task_queue.py`). Never call a backend's `generate()` directly from a route handler.
-4. **Fire-and-forget tasks**: use `asyncio.create_task()` and track the task reference to prevent garbage collection:
-   ```python
-   task = asyncio.create_task(some_coro())
-   _background_tasks.add(task)
-   task.add_done_callback(_background_tasks.discard)
-   ```
-
---
-
-## Logging
-
-Use the `logging` module. Not `print()`.
-
-```python
-import logging
-
-logger = logging.getLogger(__name__)
-
-logger.info("Loading model %s on %s", model_name, device)
-logger.warning("Cache miss for %s, downloading", repo_id)
-logger.exception("Generation %s failed")  # logs traceback automatically
-```
-
-**Rules:**
- Use `%s`-style placeholders in log calls (not f-strings). This avoids formatting the string if the log level is filtered out.
- Use `logger.exception()` inside `except` blocks -- it captures the traceback.
- Logger name should be `__name__` (yields `backend.utils.audio`, etc.).
- Existing `print()` calls should be migrated to logging as files are touched during the refactor.
-
---
-
-## Constants
-
- Define at **module level** in the file where they're primarily used.
- Use `UPPER_SNAKE_CASE`.
- Shared/cross-cutting constants (sample rates, file size limits, CORS origins) go in `backend/config.py` after Phase 6 consolidation.
- Magic numbers in function bodies should be extracted to named constants:
-  ```python
-  # No
-  if len(audio) > 24000 * 60 * 10:
-
-  # Yes
-  MAX_AUDIO_DURATION_SAMPLES = SAMPLE_RATE * 60 * 10
-  if len(audio) > MAX_AUDIO_DURATION_SAMPLES:
-  ```
-
---
-
-## Function Signatures
-
- **Keyword-only arguments** (after `*`) for functions with 3+ parameters, especially when several share the same type:
-  ```python
-  def is_model_cached(
-      hf_repo: str,
-      *,
-      weight_extensions: tuple[str, ...] = (".safetensors", ".bin"),
-      required_files: list[str] | None = None,
-  ) -> bool:
-  ```
- Parameters on **separate lines** when the signature exceeds ~100 characters or has 3+ params.
- **Trailing comma** after the last parameter in multi-line signatures.
- Default values inline with the parameter.
-
---
-
-## String Formatting
-
- **f-strings** for runtime string construction.
- **`%s`-style** for `logging` calls (lazy evaluation).
- **`.format()`**: avoid; f-strings are preferred.
-
---
-
-## Testing
-
-Framework: **pytest** with `pytest-asyncio`.
-
- Test files: `test_<module>.py` in `backend/tests/`.
- Use `conftest.py` for shared fixtures (db sessions, test client, mock backends).
- Group related tests in classes: `class TestProfileCRUD:`.
- Use `@pytest.mark.asyncio` for async tests.
- Use `@pytest.mark.parametrize` to reduce repetition.
- Manual integration scripts stay in `tests/` but are clearly marked (filename prefix `manual_` or documented in `tests/README.md`).
-
---
-
-## Project Layout
-
-```
-backend/
-  app.py              # FastAPI app factory, CORS, lifecycle events
-  main.py             # Entry point (imports app, runs uvicorn)
-  config.py           # Data directory paths
-  models.py           # Pydantic request/response schemas
-  server.py           # Tauri sidecar launcher, parent-pid watchdog
-  routes/             # Thin HTTP handlers (validation, delegation, response formatting)
-  services/           # Business logic, CRUD, orchestration
-  backends/           # TTS/STT engine implementations
-  database/           # ORM models, session management, migrations, seeds
-  utils/              # Shared utilities (audio, effects, caching, progress)
-  tests/              # pytest suite
-```
-
---
-
-## Ruff Adoption
-
-`pyproject.toml` configures ruff for linting and formatting. Run:
-
-```bash
-# Lint (check)
-ruff check backend/
-
-# Lint (auto-fix)
-ruff check backend/ --fix
-
-# Format
-ruff format backend/
-```
-
-Introduce ruff fixes file-by-file as you touch them. Don't run `--fix` across the entire codebase in one shot -- that creates unreviewable diffs.
@@ -1,3 +1,3 @@
 # Backend package

-__version__ = "0.2.3"
+__version__ = "0.1.12"
@@ -1,215 +0,0 @@
-"""FastAPI application factory, middleware, and lifecycle events."""
-
-import asyncio
-import logging
-import os
-import sys
-from pathlib import Path
-
-
-class ColoredFormatter(logging.Formatter):
-    """Custom formatter to add colors matching uvicorn's style."""
-
-    COLORS = {
-        "DEBUG": "\033[36m",  # Cyan
-        "INFO": "\033[32m",  # Green
-        "WARNING": "\033[33m",  # Yellow
-        "ERROR": "\033[31m",  # Red
-        "CRITICAL": "\033[35m",  # Magenta
-    }
-    RESET = "\033[0m"
-
-    def format(self, record):
-        log_color = self.COLORS.get(record.levelname, self.RESET)
-        record.levelname = f"{log_color}{record.levelname}{self.RESET}"
-        return super().format(record)
-
-
-# Configure logging to match uvicorn's format with colors
-handler = logging.StreamHandler(sys.stderr)
-handler.setFormatter(ColoredFormatter("%(levelname)s:     %(message)s"))
-logging.basicConfig(
-    level=logging.INFO,
-    handlers=[handler],
-)
-
-logger = logging.getLogger(__name__)
-
-# AMD GPU environment variables must be set before torch import
-if not os.environ.get("HSA_OVERRIDE_GFX_VERSION"):
-    os.environ["HSA_OVERRIDE_GFX_VERSION"] = "10.3.0"
-if not os.environ.get("MIOPEN_LOG_LEVEL"):
-    os.environ["MIOPEN_LOG_LEVEL"] = "4"
-
-import torch
-from fastapi import FastAPI
-from fastapi.middleware.cors import CORSMiddleware
-from urllib.parse import quote
-
-from . import __version__, config, database
-from .services import tts, transcribe
-from .database import get_db
-from .utils.platform_detect import get_backend_type
-from .utils.progress import get_progress_manager
-from .services.task_queue import create_background_task, init_queue
-from .routes import register_routers
-
-
-def safe_content_disposition(disposition_type: str, filename: str) -> str:
-    """Build a Content-Disposition header safe for non-ASCII filenames.
-
-    Uses RFC 5987 ``filename*`` parameter so browsers can decode UTF-8
-    filenames while the ``filename`` fallback stays ASCII-only.
-    """
-    ascii_name = "".join(c for c in filename if c.isascii() and (c.isalnum() or c in " -_.")).strip() or "download"
-    utf8_name = quote(filename, safe="")
-    return f"{disposition_type}; filename=\"{ascii_name}\"; filename*=UTF-8''{utf8_name}"
-
-
-def create_app() -> FastAPI:
-    """Create and configure the FastAPI application."""
-    application = FastAPI(
-        title="voicebox API",
-        description="Production-quality Qwen3-TTS voice cloning API",
-        version=__version__,
-    )
-
-    _configure_cors(application)
-    register_routers(application)
-    _register_lifecycle(application)
-
-    return application
-
-
-def _configure_cors(application: FastAPI) -> None:
-    """Set up CORS middleware with local-first defaults."""
-    default_origins = [
-        "http://localhost:5173",  # Vite dev server
-        "http://127.0.0.1:5173",
-        "http://localhost:17493",
-        "http://127.0.0.1:17493",
-        "tauri://localhost",  # Tauri webview (macOS)
-        "https://tauri.localhost",  # Tauri webview (Windows/Linux)
-        "http://tauri.localhost",  # Tauri webview (Windows, some builds)
-    ]
-    env_origins = os.environ.get("VOICEBOX_CORS_ORIGINS", "")
-    all_origins = default_origins + [o.strip() for o in env_origins.split(",") if o.strip()]
-
-    application.add_middleware(
-        CORSMiddleware,
-        allow_origins=all_origins,
-        allow_credentials=True,
-        allow_methods=["*"],
-        allow_headers=["*"],
-    )
-
-
-def _get_gpu_status() -> str:
-    """Return a human-readable string describing GPU availability."""
-    backend_type = get_backend_type()
-    if torch.cuda.is_available():
-        device_name = torch.cuda.get_device_name(0)
-        is_rocm = hasattr(torch.version, "hip") and torch.version.hip is not None
-        if is_rocm:
-            return f"ROCm ({device_name})"
-        return f"CUDA ({device_name})"
-    elif hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
-        return "MPS (Apple Silicon)"
-    elif backend_type == "mlx":
-        return "Metal (Apple Silicon via MLX)"
-    return "None (CPU only)"
-
-
-def _register_lifecycle(application: FastAPI) -> None:
-    """Attach startup and shutdown event handlers."""
-
-    @application.on_event("startup")
-    async def startup_event():
-        import platform
-        import sys
-
-        logger.info("Voicebox v%s starting up", __version__)
-        logger.info(
-            "Python %s on %s %s (%s)",
-            sys.version.split()[0],
-            platform.system(),
-            platform.release(),
-            platform.machine(),
-        )
-
-        database.init_db()
-
-        from .database.session import _db_path
-
-        logger.info("Database: %s", _db_path)
-        logger.info("Data directory: %s", config.get_data_dir())
-
-        init_queue()
-
-        # Mark stale "generating" records as failed -- leftovers from a killed process
-        from sqlalchemy import text as sa_text
-
-        db = next(get_db())
-        try:
-            result = db.execute(
-                sa_text(
-                    "UPDATE generations SET status = 'failed', "
-                    "error = 'Server was shut down during generation' "
-                    "WHERE status IN ('generating', 'loading_model')"
-                )
-            )
-            if result.rowcount > 0:
-                logger.info("Marked %d stale generation(s) as failed", result.rowcount)
-
-            from .database import VoiceProfile as DBVoiceProfile, Generation as DBGeneration
-
-            profile_count = db.query(DBVoiceProfile).count()
-            generation_count = db.query(DBGeneration).count()
-            logger.info("Profiles: %d, Generations: %d", profile_count, generation_count)
-
-            db.commit()
-        except Exception as e:
-            db.rollback()
-            logger.warning("Could not clean up stale generations: %s", e)
-        finally:
-            db.close()
-
-        backend_type = get_backend_type()
-        logger.info("Backend: %s", backend_type.upper())
-        logger.info("GPU: %s", _get_gpu_status())
-
-        from .services.cuda import check_and_update_cuda_binary
-
-        create_background_task(check_and_update_cuda_binary())
-
-        try:
-            progress_manager = get_progress_manager()
-            progress_manager._set_main_loop(asyncio.get_running_loop())
-        except Exception as e:
-            logger.warning("Could not initialize progress manager event loop: %s", e)
-
-        try:
-            from huggingface_hub import constants as hf_constants
-
-            cache_dir = Path(hf_constants.HF_HUB_CACHE)
-            cache_dir.mkdir(parents=True, exist_ok=True)
-            logger.info("Model cache: %s", cache_dir)
-        except Exception as e:
-            logger.warning("Could not create HuggingFace cache directory: %s", e)
-
-        logger.info("Ready")
-
-    @application.on_event("shutdown")
-    async def shutdown_event():
-        logger.info("Voicebox server shutting down...")
-        try:
-            tts.unload_tts_model()
-        except Exception:
-            logger.exception("Failed to unload TTS model")
-        try:
-            transcribe.unload_whisper_model()
-        except Exception:
-            logger.exception("Failed to unload Whisper model")
-
-
-app = create_app()
@@ -1,66 +1,24 @@
 """
 Backend abstraction layer for TTS and STT.

-Provides a unified interface for MLX and PyTorch backends,
-and a model config registry that eliminates per-engine dispatch maps.
+Provides a unified interface for MLX and PyTorch backends.
 """

-import threading
-from dataclasses import dataclass, field
 from typing import Protocol, Optional, Tuple, List
 from typing_extensions import runtime_checkable
 import numpy as np

-from ..utils.platform_detect import get_backend_type
-
-LANGUAGE_CODE_TO_NAME = {
-    "zh": "chinese",
-    "en": "english",
-    "ja": "japanese",
-    "ko": "korean",
-    "de": "german",
-    "fr": "french",
-    "ru": "russian",
-    "pt": "portuguese",
-    "es": "spanish",
-    "it": "italian",
-}
-
-WHISPER_HF_REPOS = {
-    "base": "openai/whisper-base",
-    "small": "openai/whisper-small",
-    "medium": "openai/whisper-medium",
-    "large": "openai/whisper-large-v3",
-    "turbo": "openai/whisper-large-v3-turbo",
-}
-
-
-@dataclass
-class ModelConfig:
-    """Declarative config for a downloadable model variant."""
-
-    model_name: str  # e.g. "luxtts", "chatterbox-tts"
-    display_name: str  # e.g. "LuxTTS (Fast, CPU-friendly)"
-    engine: str  # e.g. "luxtts", "chatterbox"
-    hf_repo_id: str  # e.g. "YatharthS/LuxTTS"
-    model_size: str = "default"
-    size_mb: int = 0
-    needs_trim: bool = False
-    supports_instruct: bool = False
-    languages: list[str] = field(default_factory=lambda: ["en"])
+from ..platform_detect import get_backend_type


@runtime_checkable
 class TTSBackend(Protocol):
    """Protocol for TTS backend implementations."""
-
-    # Each backend class should define MODEL_CONFIGS as a class variable:
-    # MODEL_CONFIGS: list[ModelConfig]
-
+    
    async def load_model(self, model_size: str) -> None:
        """Load TTS model."""
        ...
-
+    
    async def create_voice_prompt(
        self,
        audio_path: str,
@@ -69,12 +27,12 @@ class TTSBackend(Protocol):
    ) -> Tuple[dict, bool]:
        """
        Create voice prompt from reference audio.
-
+        
        Returns:
            Tuple of (voice_prompt_dict, was_cached)
        """
        ...
-
+    
    async def combine_voice_prompts(
        self,
        audio_paths: List[str],
@@ -82,12 +40,12 @@ class TTSBackend(Protocol):
    ) -> Tuple[np.ndarray, str]:
        """
        Combine multiple voice prompts.
-
+        
        Returns:
            Tuple of (combined_audio_array, combined_text)
        """
        ...
-
+    
    async def generate(
        self,
        text: str,
@@ -98,24 +56,24 @@ class TTSBackend(Protocol):
    ) -> Tuple[np.ndarray, int]:
        """
        Generate audio from text.
-
+        
        Returns:
            Tuple of (audio_array, sample_rate)
        """
        ...
-
+    
    def unload_model(self) -> None:
        """Unload model to free memory."""
        ...
-
+    
    def is_loaded(self) -> bool:
        """Check if model is loaded."""
        ...
-
+    
    def _get_model_path(self, model_size: str) -> str:
        """
        Get model path for a given size.
-
+        
        Returns:
            Model path or HuggingFace Hub ID
        """
@@ -125,11 +83,11 @@ class TTSBackend(Protocol):
@runtime_checkable
 class STTBackend(Protocol):
    """Protocol for STT (Speech-to-Text) backend implementations."""
-
+    
    async def load_model(self, model_size: str) -> None:
        """Load STT model."""
        ...
-
+    
    async def transcribe(
        self,
        audio_path: str,
@@ -137,16 +95,16 @@ class STTBackend(Protocol):
    ) -> str:
        """
        Transcribe audio to text.
-
+        
        Returns:
            Transcribed text
        """
        ...
-
+    
    def unload_model(self) -> None:
        """Unload model to free memory."""
        ...
-
+    
    def is_loaded(self) -> bool:
        """Check if model is loaded."""
        ...
@@ -154,375 +112,55 @@ class STTBackend(Protocol):

 # Global backend instances
 _tts_backend: Optional[TTSBackend] = None
-_tts_backends: dict[str, TTSBackend] = {}
-_tts_backends_lock = threading.Lock()
 _stt_backend: Optional[STTBackend] = None

-# Supported TTS engines — keyed by engine name, value is the backend class import path.
-# The factory function uses this for the if/elif chain; the model configs live on the backend classes.
-TTS_ENGINES = {
-    "qwen": "Qwen TTS",
-    "luxtts": "LuxTTS",
-    "chatterbox": "Chatterbox TTS",
-    "chatterbox_turbo": "Chatterbox Turbo",
-}
-
-
-def _get_qwen_model_configs() -> list[ModelConfig]:
-    """Return Qwen model configs with backend-aware HF repo IDs."""
-    backend_type = get_backend_type()
-    if backend_type == "mlx":
-        repo_1_7b = "mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16"
-        repo_0_6b = "mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16"  # 0.6B not available in MLX, falls back
-    else:
-        repo_1_7b = "Qwen/Qwen3-TTS-12Hz-1.7B-Base"
-        repo_0_6b = "Qwen/Qwen3-TTS-12Hz-0.6B-Base"
-
-    return [
-        ModelConfig(
-            model_name="qwen-tts-1.7B",
-            display_name="Qwen TTS 1.7B",
-            engine="qwen",
-            hf_repo_id=repo_1_7b,
-            model_size="1.7B",
-            size_mb=3500,
-            supports_instruct=False,  # Base model drops instruct silently
-            languages=["zh", "en", "ja", "ko", "de", "fr", "ru", "pt", "es", "it"],
-        ),
-        ModelConfig(
-            model_name="qwen-tts-0.6B",
-            display_name="Qwen TTS 0.6B",
-            engine="qwen",
-            hf_repo_id=repo_0_6b,
-            model_size="0.6B",
-            size_mb=1200,
-            supports_instruct=False,
-            languages=["zh", "en", "ja", "ko", "de", "fr", "ru", "pt", "es", "it"],
-        ),
-    ]
-
-
-def _get_non_qwen_tts_configs() -> list[ModelConfig]:
-    """Return model configs for non-Qwen TTS engines.
-
-    These are static — no backend-type branching needed.
-    """
-    return [
-        ModelConfig(
-            model_name="luxtts",
-            display_name="LuxTTS (Fast, CPU-friendly)",
-            engine="luxtts",
-            hf_repo_id="YatharthS/LuxTTS",
-            size_mb=300,
-            languages=["en"],
-        ),
-        ModelConfig(
-            model_name="chatterbox-tts",
-            display_name="Chatterbox TTS (Multilingual)",
-            engine="chatterbox",
-            hf_repo_id="ResembleAI/chatterbox",
-            size_mb=3200,
-            needs_trim=True,
-            languages=[
-                "zh",
-                "en",
-                "ja",
-                "ko",
-                "de",
-                "fr",
-                "ru",
-                "pt",
-                "es",
-                "it",
-                "he",
-                "ar",
-                "da",
-                "el",
-                "fi",
-                "hi",
-                "ms",
-                "nl",
-                "no",
-                "pl",
-                "sv",
-                "sw",
-                "tr",
-            ],
-        ),
-        ModelConfig(
-            model_name="chatterbox-turbo",
-            display_name="Chatterbox Turbo (English, Tags)",
-            engine="chatterbox_turbo",
-            hf_repo_id="ResembleAI/chatterbox-turbo",
-            size_mb=1500,
-            needs_trim=True,
-            languages=["en"],
-        ),
-    ]
-
-
-def _get_whisper_configs() -> list[ModelConfig]:
-    """Return Whisper STT model configs."""
-    return [
-        ModelConfig(
-            model_name="whisper-base",
-            display_name="Whisper Base",
-            engine="whisper",
-            hf_repo_id="openai/whisper-base",
-            model_size="base",
-        ),
-        ModelConfig(
-            model_name="whisper-small",
-            display_name="Whisper Small",
-            engine="whisper",
-            hf_repo_id="openai/whisper-small",
-            model_size="small",
-        ),
-        ModelConfig(
-            model_name="whisper-medium",
-            display_name="Whisper Medium",
-            engine="whisper",
-            hf_repo_id="openai/whisper-medium",
-            model_size="medium",
-        ),
-        ModelConfig(
-            model_name="whisper-large",
-            display_name="Whisper Large",
-            engine="whisper",
-            hf_repo_id="openai/whisper-large-v3",
-            model_size="large",
-        ),
-        ModelConfig(
-            model_name="whisper-turbo",
-            display_name="Whisper Turbo",
-            engine="whisper",
-            hf_repo_id="openai/whisper-large-v3-turbo",
-            model_size="turbo",
-        ),
-    ]
-
-
-def get_all_model_configs() -> list[ModelConfig]:
-    """Return the full list of model configs (TTS + STT)."""
-    return _get_qwen_model_configs() + _get_non_qwen_tts_configs() + _get_whisper_configs()
-
-
-def get_tts_model_configs() -> list[ModelConfig]:
-    """Return only TTS model configs."""
-    return _get_qwen_model_configs() + _get_non_qwen_tts_configs()
-
-
-# Lookup helpers — these replace the if/elif chains in main.py
-
-
-def get_model_config(model_name: str) -> Optional[ModelConfig]:
-    """Look up a model config by model_name."""
-    for cfg in get_all_model_configs():
-        if cfg.model_name == model_name:
-            return cfg
-    return None
-
-
-def engine_needs_trim(engine: str) -> bool:
-    """Whether this engine's output should be run through trim_tts_output."""
-    for cfg in get_tts_model_configs():
-        if cfg.engine == engine:
-            return cfg.needs_trim
-    return False
-
-
-def engine_has_model_sizes(engine: str) -> bool:
-    """Whether this engine supports multiple model sizes (only Qwen currently)."""
-    configs = [c for c in get_tts_model_configs() if c.engine == engine]
-    return len(configs) > 1
-
-
-async def load_engine_model(engine: str, model_size: str = "default") -> None:
-    """Load a model for the given engine, handling the Qwen model_size special case."""
-    backend = get_tts_backend_for_engine(engine)
-    if engine == "qwen":
-        await backend.load_model_async(model_size)
-    else:
-        await backend.load_model()
-
-
-async def ensure_model_cached_or_raise(engine: str, model_size: str = "default") -> None:
-    """Check if a model is cached, raise HTTPException if not. Used by streaming endpoint."""
-    from fastapi import HTTPException
-
-    backend = get_tts_backend_for_engine(engine)
-    cfg = None
-    for c in get_tts_model_configs():
-        if c.engine == engine and c.model_size == model_size:
-            cfg = c
-            break
-
-    if engine == "qwen":
-        if not backend._is_model_cached(model_size):
-            raise HTTPException(
-                status_code=400,
-                detail=f"Model {model_size} is not downloaded yet. Use /generate to trigger a download.",
-            )
-    else:
-        if not backend._is_model_cached():
-            display = cfg.display_name if cfg else engine
-            raise HTTPException(
-                status_code=400,
-                detail=f"{display} model is not downloaded yet. Use /generate to trigger a download.",
-            )
-
-
-def unload_model_by_config(config: ModelConfig) -> bool:
-    """Unload a model given its config. Returns True if it was loaded, False otherwise."""
-    from . import get_tts_backend_for_engine
-    from ..services import tts, transcribe
-
-    if config.engine == "whisper":
-        whisper_model = transcribe.get_whisper_model()
-        if whisper_model.is_loaded() and whisper_model.model_size == config.model_size:
-            transcribe.unload_whisper_model()
-            return True
-        return False
-
-    if config.engine == "qwen":
-        tts_model = tts.get_tts_model()
-        loaded_size = getattr(tts_model, "_current_model_size", None) or getattr(tts_model, "model_size", None)
-        if tts_model.is_loaded() and loaded_size == config.model_size:
-            tts.unload_tts_model()
-            return True
-        return False
-
-    # All other TTS engines
-    backend = get_tts_backend_for_engine(config.engine)
-    if backend.is_loaded():
-        backend.unload_model()
-        return True
-    return False
-
-
-def check_model_loaded(config: ModelConfig) -> bool:
-    """Check if a model is currently loaded."""
-    from . import get_tts_backend_for_engine
-    from ..services import tts, transcribe
-
-    try:
-        if config.engine == "whisper":
-            whisper_model = transcribe.get_whisper_model()
-            return whisper_model.is_loaded() and getattr(whisper_model, "model_size", None) == config.model_size
-
-        if config.engine == "qwen":
-            tts_model = tts.get_tts_model()
-            loaded_size = getattr(tts_model, "_current_model_size", None) or getattr(tts_model, "model_size", None)
-            return tts_model.is_loaded() and loaded_size == config.model_size
-
-        backend = get_tts_backend_for_engine(config.engine)
-        return backend.is_loaded()
-    except Exception:
-        return False
-
-
-def get_model_load_func(config: ModelConfig):
-    """Return a callable that loads/downloads the model."""
-    from . import get_tts_backend_for_engine
-    from ..services import tts, transcribe
-
-    if config.engine == "whisper":
-        return lambda: transcribe.get_whisper_model().load_model(config.model_size)
-
-    if config.engine == "qwen":
-        return lambda: tts.get_tts_model().load_model(config.model_size)
-
-    return lambda: get_tts_backend_for_engine(config.engine).load_model()
-

 def get_tts_backend() -> TTSBackend:
    """
-    Get or create the default (Qwen) TTS backend instance based on platform.
-
+    Get or create TTS backend instance based on platform.
+    
    Returns:
        TTS backend instance (MLX or PyTorch)
    """
-    return get_tts_backend_for_engine("qwen")
-
-
-def get_tts_backend_for_engine(engine: str) -> TTSBackend:
-    """
-    Get or create a TTS backend for the given engine.
-
-    Args:
-        engine: Engine name (e.g. "qwen", "luxtts", "chatterbox", "chatterbox_turbo")
-
-    Returns:
-        TTS backend instance
-    """
-    global _tts_backends
-
-    # Fast path: check without lock
-    if engine in _tts_backends:
-        return _tts_backends[engine]
-
-    # Slow path: create with lock to avoid duplicate instantiation
-    with _tts_backends_lock:
-        # Double-check after acquiring lock
-        if engine in _tts_backends:
-            return _tts_backends[engine]
-
-        if engine == "qwen":
-            backend_type = get_backend_type()
-            if backend_type == "mlx":
-                from .mlx_backend import MLXTTSBackend
-
-                backend = MLXTTSBackend()
-            else:
-                from .pytorch_backend import PyTorchTTSBackend
-
-                backend = PyTorchTTSBackend()
-        elif engine == "luxtts":
-            from .luxtts_backend import LuxTTSBackend
-
-            backend = LuxTTSBackend()
-        elif engine == "chatterbox":
-            from .chatterbox_backend import ChatterboxTTSBackend
-
-            backend = ChatterboxTTSBackend()
-        elif engine == "chatterbox_turbo":
-            from .chatterbox_turbo_backend import ChatterboxTurboTTSBackend
-
-            backend = ChatterboxTurboTTSBackend()
+    global _tts_backend
+    
+    if _tts_backend is None:
+        backend_type = get_backend_type()
+        
+        if backend_type == "mlx":
+            from .mlx_backend import MLXTTSBackend
+            _tts_backend = MLXTTSBackend()
        else:
-            raise ValueError(f"Unknown TTS engine: {engine}. Supported: {list(TTS_ENGINES.keys())}")
-
-        _tts_backends[engine] = backend
-        return backend
+            from .pytorch_backend import PyTorchTTSBackend
+            _tts_backend = PyTorchTTSBackend()
+    
+    return _tts_backend


 def get_stt_backend() -> STTBackend:
    """
    Get or create STT backend instance based on platform.
-
+    
    Returns:
        STT backend instance (MLX or PyTorch)
    """
    global _stt_backend
-
+    
    if _stt_backend is None:
        backend_type = get_backend_type()
-
+        
        if backend_type == "mlx":
            from .mlx_backend import MLXSTTBackend
-
            _stt_backend = MLXSTTBackend()
        else:
            from .pytorch_backend import PyTorchSTTBackend
-
            _stt_backend = PyTorchSTTBackend()
-
+    
    return _stt_backend


 def reset_backends():
    """Reset backend instances (useful for testing)."""
-    global _tts_backend, _tts_backends, _stt_backend
+    global _tts_backend, _stt_backend
    _tts_backend = None
-    _tts_backends.clear()
    _stt_backend = None
@@ -1,258 +0,0 @@
-"""
-Shared utilities for TTS/STT backend implementations.
-
-Eliminates duplication of cache checking, device detection,
-voice prompt combination, and model loading progress tracking.
-"""
-
-import logging
-import platform
-from contextlib import contextmanager
-from pathlib import Path
-from typing import Callable, List, Optional, Tuple
-
-import numpy as np
-
-from ..utils.audio import normalize_audio, load_audio
-from ..utils.progress import get_progress_manager
-from ..utils.hf_progress import HFProgressTracker, create_hf_progress_callback
-from ..utils.tasks import get_task_manager
-
-logger = logging.getLogger(__name__)
-
-
-def is_model_cached(
-    hf_repo: str,
-    *,
-    weight_extensions: tuple[str, ...] = (".safetensors", ".bin"),
-    required_files: Optional[list[str]] = None,
-) -> bool:
-    """
-    Check if a HuggingFace model is fully cached locally.
-
-    Args:
-        hf_repo: HuggingFace repo ID (e.g. "Qwen/Qwen3-TTS-12Hz-1.7B-Base")
-        weight_extensions: File extensions that count as model weights.
-        required_files: If set, check that these specific filenames exist
-                        in snapshots instead of checking by extension.
-
-    Returns:
-        True if model is fully cached, False if missing or incomplete.
-    """
-    try:
-        from huggingface_hub import constants as hf_constants
-
-        repo_cache = Path(hf_constants.HF_HUB_CACHE) / ("models--" + hf_repo.replace("/", "--"))
-
-        if not repo_cache.exists():
-            return False
-
-        # Incomplete blobs mean a download is still in progress
-        blobs_dir = repo_cache / "blobs"
-        if blobs_dir.exists() and any(blobs_dir.glob("*.incomplete")):
-            logger.debug(f"Found .incomplete files for {hf_repo}")
-            return False
-
-        snapshots_dir = repo_cache / "snapshots"
-        if not snapshots_dir.exists():
-            return False
-
-        if required_files:
-            # Check that every required filename exists somewhere in snapshots
-            for fname in required_files:
-                if not any(snapshots_dir.rglob(fname)):
-                    return False
-            return True
-
-        # Check that at least one weight file exists
-        for ext in weight_extensions:
-            if any(snapshots_dir.rglob(f"*{ext}")):
-                return True
-
-        logger.debug(f"No model weights found for {hf_repo}")
-        return False
-
-    except Exception as e:
-        logger.warning(f"Error checking cache for {hf_repo}: {e}")
-        return False
-
-
-def get_torch_device(
-    *,
-    allow_xpu: bool = False,
-    allow_directml: bool = False,
-    allow_mps: bool = False,
-    force_cpu_on_mac: bool = False,
-) -> str:
-    """
-    Detect the best available torch device.
-
-    Args:
-        allow_xpu: Check for Intel XPU (IPEX) support.
-        allow_directml: Check for DirectML (Windows) support.
-        allow_mps: Allow MPS (Apple Silicon). If False, MPS falls back to CPU.
-        force_cpu_on_mac: Force CPU on macOS regardless of GPU availability.
-    """
-    if force_cpu_on_mac and platform.system() == "Darwin":
-        return "cpu"
-
-    import torch
-
-    if torch.cuda.is_available():
-        return "cuda"
-
-    if allow_xpu:
-        try:
-            import intel_extension_for_pytorch  # noqa: F401
-
-            if hasattr(torch, "xpu") and torch.xpu.is_available():
-                return "xpu"
-        except ImportError:
-            pass
-
-    if allow_directml:
-        try:
-            import torch_directml
-
-            if torch_directml.device_count() > 0:
-                return torch_directml.device(0)
-        except ImportError:
-            pass
-
-    if allow_mps:
-        if hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
-            return "mps"
-
-    return "cpu"
-
-
-async def combine_voice_prompts(
-    audio_paths: List[str],
-    reference_texts: List[str],
-    *,
-    sample_rate: Optional[int] = None,
-) -> Tuple[np.ndarray, str]:
-    """
-    Combine multiple reference audio samples into one.
-
-    Loads each audio file, normalizes, concatenates, and joins texts.
-
-    Args:
-        audio_paths: Paths to reference audio files.
-        reference_texts: Corresponding transcripts.
-        sample_rate: If set, resample audio to this rate during loading.
-    """
-    combined_audio = []
-
-    for path in audio_paths:
-        kwargs = {"sample_rate": sample_rate} if sample_rate else {}
-        audio, _sr = load_audio(path, **kwargs)
-        audio = normalize_audio(audio)
-        combined_audio.append(audio)
-
-    mixed = np.concatenate(combined_audio)
-    mixed = normalize_audio(mixed)
-    combined_text = " ".join(reference_texts)
-
-    return mixed, combined_text
-
-
-@contextmanager
-def model_load_progress(
-    model_name: str,
-    is_cached: bool,
-    filter_non_downloads: Optional[bool] = None,
-):
-    """
-    Context manager for model loading with HF download progress tracking.
-
-    Handles the tqdm patching, progress_manager/task_manager lifecycle,
-    and error reporting that every backend duplicates.
-
-    Args:
-        model_name: Progress tracking key (e.g. "qwen-tts-1.7B", "whisper-base").
-        is_cached: Whether the model is already downloaded.
-        filter_non_downloads: Whether to filter non-download tqdm bars.
-                              Defaults to `is_cached`.
-
-    Yields:
-        The tracker context (already entered). The caller loads the model
-        inside the `with` block. The tqdm patch is torn down on exit.
-
-    Usage:
-        with model_load_progress("qwen-tts-1.7B", is_cached) as ctx:
-            self.model = SomeModel.from_pretrained(...)
-    """
-    if filter_non_downloads is None:
-        filter_non_downloads = is_cached
-
-    progress_manager = get_progress_manager()
-    task_manager = get_task_manager()
-
-    progress_callback = create_hf_progress_callback(model_name, progress_manager)
-    tracker = HFProgressTracker(progress_callback, filter_non_downloads=filter_non_downloads)
-
-    tracker_context = tracker.patch_download()
-    tracker_context.__enter__()
-
-    if not is_cached:
-        task_manager.start_download(model_name)
-        progress_manager.update_progress(
-            model_name=model_name,
-            current=0,
-            total=0,
-            filename="Connecting to HuggingFace...",
-            status="downloading",
-        )
-
-    try:
-        yield tracker_context
-    except Exception as e:
-        # Report error to both managers
-        progress_manager.mark_error(model_name, str(e))
-        task_manager.error_download(model_name, str(e))
-        raise
-    else:
-        # Only mark complete if we were tracking a download
-        if not is_cached:
-            progress_manager.mark_complete(model_name)
-            task_manager.complete_download(model_name)
-    finally:
-        tracker_context.__exit__(None, None, None)
-
-
-def patch_chatterbox_f32(model) -> None:
-    """
-    Patch float64 -> float32 dtype mismatches in upstream chatterbox.
-
-    librosa.load returns float64 numpy arrays. Multiple upstream code paths
-    convert these to torch tensors via torch.from_numpy() without casting,
-    then matmul against float32 model weights. This patches the two known
-    entry points:
-
-    1. S3Tokenizer.log_mel_spectrogram — audio tensor hits _mel_filters (f32)
-    2. VoiceEncoder.forward — float64 mel spectrograms hit LSTM weights (f32)
-    """
-    import types
-
-    # Patch S3Tokenizer
-    _tokzr = model.s3gen.tokenizer
-    _orig_log_mel = _tokzr.log_mel_spectrogram.__func__
-
-    def _f32_log_mel(self_tokzr, audio, padding=0):
-        import torch as _torch
-
-        if _torch.is_tensor(audio):
-            audio = audio.float()
-        return _orig_log_mel(self_tokzr, audio, padding)
-
-    _tokzr.log_mel_spectrogram = types.MethodType(_f32_log_mel, _tokzr)
-
-    # Patch VoiceEncoder
-    _ve = model.ve
-    _orig_ve_forward = _ve.forward.__func__
-
-    def _f32_ve_forward(self_ve, mels):
-        return _orig_ve_forward(self_ve, mels.float())
-
-    _ve.forward = types.MethodType(_f32_ve_forward, _ve)
@@ -1,230 +0,0 @@
-"""
-Chatterbox TTS backend implementation.
-
-Wraps ChatterboxMultilingualTTS from chatterbox-tts for zero-shot
-voice cloning. Supports 23 languages including Hebrew. Forces CPU
-on macOS due to known MPS tensor issues.
-"""
-
-import asyncio
-import logging
-import threading
-from pathlib import Path
-from typing import ClassVar, List, Optional, Tuple
-
-import numpy as np
-
-from . import TTSBackend
-from .base import (
-    is_model_cached,
-    get_torch_device,
-    combine_voice_prompts as _combine_voice_prompts,
-    model_load_progress,
-    patch_chatterbox_f32,
-)
-
-logger = logging.getLogger(__name__)
-
-CHATTERBOX_HF_REPO = "ResembleAI/chatterbox"
-
-# Files that must be present for the multilingual model
-_MTL_WEIGHT_FILES = [
-    "t3_mtl23ls_v2.safetensors",
-    "s3gen.pt",
-    "ve.pt",
-]
-
-
-class ChatterboxTTSBackend:
-    """Chatterbox Multilingual TTS backend for voice cloning."""
-
-    # Class-level lock for torch.load monkey-patching
-    _load_lock: ClassVar[threading.Lock] = threading.Lock()
-
-    def __init__(self):
-        self.model = None
-        self.model_size = "default"
-        self._device = None
-        self._model_load_lock = asyncio.Lock()
-
-    def _get_device(self) -> str:
-        return get_torch_device(force_cpu_on_mac=True)
-
-    def is_loaded(self) -> bool:
-        return self.model is not None
-
-    def _get_model_path(self, model_size: str = "default") -> str:
-        return CHATTERBOX_HF_REPO
-
-    def _is_model_cached(self, model_size: str = "default") -> bool:
-        return is_model_cached(CHATTERBOX_HF_REPO, required_files=_MTL_WEIGHT_FILES)
-
-    async def load_model(self, model_size: str = "default") -> None:
-        """Load the Chatterbox multilingual model."""
-        if self.model is not None:
-            return
-        async with self._model_load_lock:
-            if self.model is not None:
-                return
-            await asyncio.to_thread(self._load_model_sync)
-
-    def _load_model_sync(self):
-        """Synchronous model loading."""
-        model_name = "chatterbox-tts"
-        is_cached = self._is_model_cached()
-
-        with model_load_progress(model_name, is_cached):
-            device = self._get_device()
-            self._device = device
-            logger.info(f"Loading Chatterbox Multilingual TTS on {device}...")
-
-            import torch
-            from chatterbox.mtl_tts import ChatterboxMultilingualTTS
-
-            if device == "cpu":
-                _orig_torch_load = torch.load
-
-                def _patched_load(*args, **kwargs):
-                    kwargs.setdefault("map_location", "cpu")
-                    return _orig_torch_load(*args, **kwargs)
-
-                with ChatterboxTTSBackend._load_lock:
-                    torch.load = _patched_load
-                    try:
-                        model = ChatterboxMultilingualTTS.from_pretrained(device=device)
-                    finally:
-                        torch.load = _orig_torch_load
-            else:
-                model = ChatterboxMultilingualTTS.from_pretrained(device=device)
-
-            # Fix sdpa attention for output_attentions support
-            t3_tfmr = model.t3.tfmr
-            if hasattr(t3_tfmr, "config") and hasattr(t3_tfmr.config, "_attn_implementation"):
-                t3_tfmr.config._attn_implementation = "eager"
-                for layer in getattr(t3_tfmr, "layers", []):
-                    if hasattr(layer, "self_attn"):
-                        layer.self_attn._attn_implementation = "eager"
-
-            patch_chatterbox_f32(model)
-            self.model = model
-
-        logger.info("Chatterbox Multilingual TTS loaded successfully")
-
-    def unload_model(self) -> None:
-        """Unload model to free memory."""
-        if self.model is not None:
-            device = self._device
-            del self.model
-            self.model = None
-            self._device = None
-            if device == "cuda":
-                import torch
-
-                torch.cuda.empty_cache()
-            logger.info("Chatterbox unloaded")
-
-    async def create_voice_prompt(
-        self,
-        audio_path: str,
-        reference_text: str,
-        use_cache: bool = True,
-    ) -> Tuple[dict, bool]:
-        """
-        Create voice prompt from reference audio.
-
-        Chatterbox processes reference audio at generation time, so the
-        prompt just stores the file path. The actual audio is loaded by
-        model.generate() via audio_prompt_path.
-        """
-        voice_prompt = {
-            "ref_audio": str(audio_path),
-            "ref_text": reference_text,
-        }
-        return voice_prompt, False
-
-    async def combine_voice_prompts(
-        self,
-        audio_paths: List[str],
-        reference_texts: List[str],
-    ) -> Tuple[np.ndarray, str]:
-        return await _combine_voice_prompts(audio_paths, reference_texts)
-
-    # Per-language generation defaults. Lower temp + higher cfg = clearer speech.
-    _LANG_DEFAULTS: ClassVar[dict] = {
-        "he": {
-            "exaggeration": 0.4,
-            "cfg_weight": 0.7,
-            "temperature": 0.65,
-            "repetition_penalty": 2.5,
-        },
-    }
-    _GLOBAL_DEFAULTS: ClassVar[dict] = {
-        "exaggeration": 0.5,
-        "cfg_weight": 0.5,
-        "temperature": 0.8,
-        "repetition_penalty": 2.0,
-    }
-
-    async def generate(
-        self,
-        text: str,
-        voice_prompt: dict,
-        language: str = "en",
-        seed: Optional[int] = None,
-        instruct: Optional[str] = None,
-    ) -> Tuple[np.ndarray, int]:
-        """
-        Generate audio using Chatterbox Multilingual TTS.
-
-        Args:
-            text: Text to synthesize
-            voice_prompt: Dict with ref_audio path
-            language: BCP-47 language code
-            seed: Random seed for reproducibility
-            instruct: Unused (protocol compatibility)
-
-        Returns:
-            Tuple of (audio_array, sample_rate)
-        """
-        await self.load_model()
-
-        ref_audio = voice_prompt.get("ref_audio")
-        if ref_audio and not Path(ref_audio).exists():
-            logger.warning(f"Reference audio not found: {ref_audio}")
-            ref_audio = None
-
-        # Merge language-specific defaults with global defaults
-        lang_defaults = self._LANG_DEFAULTS.get(language, self._GLOBAL_DEFAULTS)
-
-        def _generate_sync():
-            import torch
-
-            if seed is not None:
-                torch.manual_seed(seed)
-
-            logger.info(f"[Chatterbox] Generating: lang={language}")
-
-            wav = self.model.generate(
-                text,
-                language_id=language,
-                audio_prompt_path=ref_audio,
-                exaggeration=lang_defaults["exaggeration"],
-                cfg_weight=lang_defaults["cfg_weight"],
-                temperature=lang_defaults["temperature"],
-                repetition_penalty=lang_defaults["repetition_penalty"],
-            )
-
-            # Convert tensor -> numpy
-            if isinstance(wav, torch.Tensor):
-                audio = wav.squeeze().cpu().numpy().astype(np.float32)
-            else:
-                audio = np.asarray(wav, dtype=np.float32)
-
-            sample_rate = (
-                getattr(self.model, "sr", None)
-                or getattr(self.model, "sample_rate", 24000)
-            )
-
-            return audio, sample_rate
-
-        return await asyncio.to_thread(_generate_sync)
@@ -1,210 +0,0 @@
-"""
-Chatterbox Turbo TTS backend implementation.
-
-Wraps ChatterboxTurboTTS from chatterbox-tts for fast, English-only
-voice cloning with paralinguistic tag support ([laugh], [cough], etc.).
-Forces CPU on macOS due to known MPS tensor issues.
-"""
-
-import asyncio
-import logging
-import threading
-from pathlib import Path
-from typing import ClassVar, List, Optional, Tuple
-
-import numpy as np
-
-from . import TTSBackend
-from .base import (
-    is_model_cached,
-    get_torch_device,
-    combine_voice_prompts as _combine_voice_prompts,
-    model_load_progress,
-    patch_chatterbox_f32,
-)
-
-logger = logging.getLogger(__name__)
-
-CHATTERBOX_TURBO_HF_REPO = "ResembleAI/chatterbox-turbo"
-
-# Files that must be present for the turbo model
-_TURBO_WEIGHT_FILES = [
-    "t3_turbo_v1.safetensors",
-    "s3gen_meanflow.safetensors",
-    "ve.safetensors",
-]
-
-
-class ChatterboxTurboTTSBackend:
-    """Chatterbox Turbo TTS backend — fast, English-only, with paralinguistic tags."""
-
-    # Class-level lock for torch.load monkey-patching
-    _load_lock: ClassVar[threading.Lock] = threading.Lock()
-
-    def __init__(self):
-        self.model = None
-        self.model_size = "default"
-        self._device = None
-        self._model_load_lock = asyncio.Lock()
-
-    def _get_device(self) -> str:
-        return get_torch_device(force_cpu_on_mac=True)
-
-    def is_loaded(self) -> bool:
-        return self.model is not None
-
-    def _get_model_path(self, model_size: str = "default") -> str:
-        return CHATTERBOX_TURBO_HF_REPO
-
-    def _is_model_cached(self, model_size: str = "default") -> bool:
-        return is_model_cached(CHATTERBOX_TURBO_HF_REPO, required_files=_TURBO_WEIGHT_FILES)
-
-    async def load_model(self, model_size: str = "default") -> None:
-        """Load the Chatterbox Turbo model."""
-        if self.model is not None:
-            return
-        async with self._model_load_lock:
-            if self.model is not None:
-                return
-            await asyncio.to_thread(self._load_model_sync)
-
-    def _load_model_sync(self):
-        """Synchronous model loading."""
-        model_name = "chatterbox-turbo"
-        is_cached = self._is_model_cached()
-
-        with model_load_progress(model_name, is_cached):
-            device = self._get_device()
-            self._device = device
-            logger.info(f"Loading Chatterbox Turbo TTS on {device}...")
-
-            import torch
-            from huggingface_hub import snapshot_download
-            from chatterbox.tts_turbo import ChatterboxTurboTTS
-
-            local_path = snapshot_download(
-                repo_id=CHATTERBOX_TURBO_HF_REPO,
-                token=None,
-                allow_patterns=["*.safetensors", "*.json", "*.txt", "*.pt", "*.model"],
-            )
-
-            if device == "cpu":
-                _orig_torch_load = torch.load
-
-                def _patched_load(*args, **kwargs):
-                    kwargs.setdefault("map_location", "cpu")
-                    return _orig_torch_load(*args, **kwargs)
-
-                with ChatterboxTurboTTSBackend._load_lock:
-                    torch.load = _patched_load
-                    try:
-                        model = ChatterboxTurboTTS.from_local(local_path, device)
-                    finally:
-                        torch.load = _orig_torch_load
-            else:
-                model = ChatterboxTurboTTS.from_local(local_path, device)
-
-            patch_chatterbox_f32(model)
-            self.model = model
-
-        logger.info("Chatterbox Turbo TTS loaded successfully")
-
-    def unload_model(self) -> None:
-        """Unload model to free memory."""
-        if self.model is not None:
-            device = self._device
-            del self.model
-            self.model = None
-            self._device = None
-            if device == "cuda":
-                import torch
-
-                torch.cuda.empty_cache()
-            logger.info("Chatterbox Turbo unloaded")
-
-    async def create_voice_prompt(
-        self,
-        audio_path: str,
-        reference_text: str,
-        use_cache: bool = True,
-    ) -> Tuple[dict, bool]:
-        """
-        Create voice prompt from reference audio.
-
-        Chatterbox Turbo processes reference audio at generation time, so the
-        prompt just stores the file path.
-        """
-        voice_prompt = {
-            "ref_audio": str(audio_path),
-            "ref_text": reference_text,
-        }
-        return voice_prompt, False
-
-    async def combine_voice_prompts(
-        self,
-        audio_paths: List[str],
-        reference_texts: List[str],
-    ) -> Tuple[np.ndarray, str]:
-        return await _combine_voice_prompts(audio_paths, reference_texts)
-
-    async def generate(
-        self,
-        text: str,
-        voice_prompt: dict,
-        language: str = "en",
-        seed: Optional[int] = None,
-        instruct: Optional[str] = None,
-    ) -> Tuple[np.ndarray, int]:
-        """
-        Generate audio using Chatterbox Turbo TTS.
-
-        Supports paralinguistic tags in text: [laugh], [cough], [chuckle], etc.
-
-        Args:
-            text: Text to synthesize (may include paralinguistic tags)
-            voice_prompt: Dict with ref_audio path
-            language: Ignored (Turbo is English-only)
-            seed: Random seed for reproducibility
-            instruct: Unused (protocol compatibility)
-
-        Returns:
-            Tuple of (audio_array, sample_rate)
-        """
-        await self.load_model()
-
-        ref_audio = voice_prompt.get("ref_audio")
-        if ref_audio and not Path(ref_audio).exists():
-            logger.warning(f"Reference audio not found: {ref_audio}")
-            ref_audio = None
-
-        def _generate_sync():
-            import torch
-
-            if seed is not None:
-                torch.manual_seed(seed)
-
-            logger.info("[Chatterbox Turbo] Generating (English)")
-
-            wav = self.model.generate(
-                text,
-                audio_prompt_path=ref_audio,
-                temperature=0.8,
-                top_k=1000,
-                top_p=0.95,
-                repetition_penalty=1.2,
-            )
-
-            # Convert tensor -> numpy
-            if isinstance(wav, torch.Tensor):
-                audio = wav.squeeze().cpu().numpy().astype(np.float32)
-            else:
-                audio = np.asarray(wav, dtype=np.float32)
-
-            sample_rate = (
-                getattr(self.model, "sr", None)
-                or getattr(self.model, "sample_rate", 24000)
-            )
-
-            return audio, sample_rate
-
-        return await asyncio.to_thread(_generate_sync)
@@ -1,178 +0,0 @@
-"""
-LuxTTS backend implementation.
-
-Wraps the LuxTTS (ZipVoice) model for zero-shot voice cloning.
-~1GB VRAM, 48kHz output, 150x realtime on CPU.
-"""
-
-import asyncio
-import logging
-from typing import Optional, Tuple
-
-import numpy as np
-
-from . import TTSBackend
-from .base import is_model_cached, get_torch_device, combine_voice_prompts as _combine_voice_prompts, model_load_progress
-from ..utils.cache import get_cache_key, get_cached_voice_prompt, cache_voice_prompt
-
-logger = logging.getLogger(__name__)
-
-# HuggingFace repo for model weight detection
-LUXTTS_HF_REPO = "YatharthS/LuxTTS"
-
-
-class LuxTTSBackend:
-    """LuxTTS backend for zero-shot voice cloning."""
-
-    def __init__(self):
-        self.model = None
-        self.model_size = "default"  # LuxTTS has only one model size
-        self._device = None
-
-    def _get_device(self) -> str:
-        return get_torch_device(allow_mps=True)
-
-    def is_loaded(self) -> bool:
-        return self.model is not None
-
-    @property
-    def device(self) -> str:
-        if self._device is None:
-            self._device = self._get_device()
-        return self._device
-
-    def _get_model_path(self, model_size: str) -> str:
-        return LUXTTS_HF_REPO
-
-    def _is_model_cached(self, model_size: str = "default") -> bool:
-        return is_model_cached(
-            LUXTTS_HF_REPO,
-            weight_extensions=(".pt", ".safetensors", ".onnx", ".bin"),
-        )
-
-    async def load_model(self, model_size: str = "default") -> None:
-        """Load the LuxTTS model."""
-        if self.model is not None:
-            return
-
-        await asyncio.to_thread(self._load_model_sync)
-
-    def _load_model_sync(self):
-        model_name = "luxtts"
-        is_cached = self._is_model_cached()
-
-        with model_load_progress(model_name, is_cached):
-            from zipvoice.luxvoice import LuxTTS
-
-            device = self.device
-            logger.info(f"Loading LuxTTS on {device}...")
-
-            if device == "cpu":
-                import os
-                threads = os.cpu_count() or 4
-                self.model = LuxTTS(
-                    model_path=LUXTTS_HF_REPO, device="cpu", threads=min(threads, 8),
-                )
-            else:
-                self.model = LuxTTS(model_path=LUXTTS_HF_REPO, device=device)
-
-        logger.info("LuxTTS loaded successfully")
-
-    def unload_model(self) -> None:
-        """Unload model to free memory."""
-        if self.model is not None:
-            del self.model
-            self.model = None
-
-            import torch
-            if torch.cuda.is_available():
-                torch.cuda.empty_cache()
-
-            logger.info("LuxTTS unloaded")
-
-    async def create_voice_prompt(
-        self,
-        audio_path: str,
-        reference_text: str,
-        use_cache: bool = True,
-    ) -> Tuple[dict, bool]:
-        """
-        Create voice prompt from reference audio.
-
-        LuxTTS uses its own encode_prompt() which runs Whisper ASR internally
-        to transcribe the reference. The reference_text parameter is not used
-        by LuxTTS itself, but we include it in the cache key for consistency.
-        """
-        await self.load_model()
-
-        # Compute cache key once for both lookup and storage
-        cache_key = ("luxtts_" + get_cache_key(audio_path, reference_text)) if use_cache else None
-
-        if cache_key:
-            cached = get_cached_voice_prompt(cache_key)
-            if cached is not None and isinstance(cached, dict):
-                return cached, True
-
-        def _encode_sync():
-            return self.model.encode_prompt(
-                prompt_audio=str(audio_path),
-                duration=5,
-                rms=0.01,
-            )
-
-        encoded = await asyncio.to_thread(_encode_sync)
-
-        if cache_key:
-            cache_voice_prompt(cache_key, encoded)
-
-        return encoded, False
-
-    async def combine_voice_prompts(self, audio_paths, reference_texts):
-        return await _combine_voice_prompts(audio_paths, reference_texts, sample_rate=24000)
-
-    async def generate(
-        self,
-        text: str,
-        voice_prompt: dict,
-        language: str = "en",
-        seed: Optional[int] = None,
-        instruct: Optional[str] = None,
-    ) -> Tuple[np.ndarray, int]:
-        """
-        Generate audio from text using LuxTTS.
-
-        Args:
-            text: Text to synthesize
-            voice_prompt: Encoded prompt dict from encode_prompt()
-            language: Language code (LuxTTS is English-focused)
-            seed: Random seed for reproducibility
-            instruct: Not supported by LuxTTS (ignored)
-
-        Returns:
-            Tuple of (audio_array, sample_rate)
-        """
-        await self.load_model()
-
-        def _generate_sync():
-            import torch
-
-            if seed is not None:
-                torch.manual_seed(seed)
-                if torch.cuda.is_available():
-                    torch.cuda.manual_seed(seed)
-
-            wav = self.model.generate_speech(
-                text=text,
-                encode_dict=voice_prompt,
-                num_steps=4,
-                guidance_scale=3.0,
-                t_shift=0.5,
-                speed=1.0,
-                return_smooth=False,  # 48kHz output
-            )
-
-            # LuxTTS returns a tensor (may be on GPU/MPS), move to CPU first
-            audio = wav.detach().cpu().numpy().squeeze()
-            return audio, 48000
-
-        return await asyncio.to_thread(_generate_sync)
@@ -4,44 +4,36 @@ MLX backend implementation for TTS and STT using mlx-audio.

 from typing import Optional, List, Tuple
 import asyncio
-import logging
 import numpy as np
-import os
 from pathlib import Path

-logger = logging.getLogger(__name__)
-
-# PATCH: Import and apply offline patch BEFORE any huggingface_hub usage
-# This prevents mlx_audio from making network requests when models are cached
-from ..utils.hf_offline_patch import patch_huggingface_hub_offline, ensure_original_qwen_config_cached
-
-patch_huggingface_hub_offline()
-ensure_original_qwen_config_cached()
-
-from . import TTSBackend, STTBackend, LANGUAGE_CODE_TO_NAME, WHISPER_HF_REPOS
-from .base import is_model_cached, combine_voice_prompts as _combine_voice_prompts, model_load_progress
+from . import TTSBackend, STTBackend
 from ..utils.cache import get_cache_key, get_cached_voice_prompt, cache_voice_prompt
+from ..utils.audio import normalize_audio, load_audio
+from ..utils.progress import get_progress_manager
+from ..utils.hf_progress import HFProgressTracker, create_hf_progress_callback
+from ..utils.tasks import get_task_manager


 class MLXTTSBackend:
    """MLX-based TTS backend using mlx-audio."""
-
+    
    def __init__(self, model_size: str = "1.7B"):
        self.model = None
        self.model_size = model_size
        self._current_model_size = None
-
+    
    def is_loaded(self) -> bool:
        """Check if model is loaded."""
        return self.model is not None
-
+    
    def _get_model_path(self, model_size: str) -> str:
        """
        Get the MLX model path.
-
+        
        Args:
            model_size: Model size (1.7B or 0.6B)
-
+            
        Returns:
            HuggingFace Hub model ID for MLX
        """
@@ -51,90 +43,167 @@ class MLXTTSBackend:
            # 0.6B not yet converted to MLX format
            "0.6B": "mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16",  # Fallback to 1.7B
        }
-
+        
        if model_size not in mlx_model_map:
            raise ValueError(f"Unknown model size: {model_size}")
-
+        
        hf_model_id = mlx_model_map[model_size]
-        logger.info("Will download MLX model from HuggingFace Hub: %s", hf_model_id)
-
+        print(f"Will download MLX model from HuggingFace Hub: {hf_model_id}")
+        
        return hf_model_id
-
+    
    def _is_model_cached(self, model_size: str) -> bool:
-        return is_model_cached(
-            self._get_model_path(model_size),
-            weight_extensions=(".safetensors", ".bin", ".npz"),
-        )
-
+        """
+        Check if the model is already cached locally AND fully downloaded.
+        
+        Args:
+            model_size: Model size to check
+            
+        Returns:
+            True if model is fully cached, False if missing or incomplete
+        """
+        try:
+            from huggingface_hub import constants as hf_constants
+            model_path = self._get_model_path(model_size)
+            repo_cache = Path(hf_constants.HF_HUB_CACHE) / ("models--" + model_path.replace("/", "--"))
+            
+            if not repo_cache.exists():
+                return False
+            
+            # Check for .incomplete files - if any exist, download is still in progress
+            blobs_dir = repo_cache / "blobs"
+            if blobs_dir.exists() and any(blobs_dir.glob("*.incomplete")):
+                print(f"[_is_model_cached] Found .incomplete files for {model_size}, treating as not cached")
+                return False
+            
+            # Check that actual model weight files exist in snapshots
+            snapshots_dir = repo_cache / "snapshots"
+            if snapshots_dir.exists():
+                has_weights = (
+                    any(snapshots_dir.rglob("*.safetensors")) or
+                    any(snapshots_dir.rglob("*.bin")) or
+                    any(snapshots_dir.rglob("*.npz"))
+                )
+                if not has_weights:
+                    print(f"[_is_model_cached] No model weights found for {model_size}, treating as not cached")
+                    return False
+            
+            return True
+        except Exception as e:
+            print(f"[_is_model_cached] Error checking cache for {model_size}: {e}")
+            return False
+    
    async def load_model_async(self, model_size: Optional[str] = None):
        """
        Lazy load the MLX TTS model.
-
+        
        Args:
            model_size: Model size to load (1.7B or 0.6B)
        """
        if model_size is None:
            model_size = self.model_size
-
+            
        # If already loaded with correct size, return
        if self.model is not None and self._current_model_size == model_size:
            return
-
+        
        # Unload existing model if different size requested
        if self.model is not None and self._current_model_size != model_size:
            self.unload_model()
-
+        
        # Run blocking load in thread pool
        await asyncio.to_thread(self._load_model_sync, model_size)
-
+    
    # Alias for compatibility
    load_model = load_model_async
-
+    
    def _load_model_sync(self, model_size: str):
        """Synchronous model loading."""
-        model_path = self._get_model_path(model_size)
-        model_name = f"qwen-tts-{model_size}"
-        is_cached = self._is_model_cached(model_size)
-
-        # Force offline mode when cached to avoid network requests
-        original_hf_hub_offline = os.environ.get("HF_HUB_OFFLINE")
-        if is_cached:
-            os.environ["HF_HUB_OFFLINE"] = "1"
-            logger.info("[PATCH] Model %s is cached, forcing HF_HUB_OFFLINE=1 to avoid network requests", model_size)
-
        try:
-            with model_load_progress(model_name, is_cached):
-                from mlx_audio.tts import load
-
-                logger.info("Loading MLX TTS model %s...", model_size)
-
-                try:
-                    self.model = load(model_path)
-                except Exception as load_error:
-                    if is_cached and "offline" in str(load_error).lower():
-                        logger.warning("[PATCH] Offline load failed, trying with network: %s", load_error)
-                        os.environ.pop("HF_HUB_OFFLINE", None)
-                        self.model = load(model_path)
-                    else:
-                        raise
-        finally:
-            if original_hf_hub_offline is not None:
-                os.environ["HF_HUB_OFFLINE"] = original_hf_hub_offline
-            else:
-                os.environ.pop("HF_HUB_OFFLINE", None)
-
-        self._current_model_size = model_size
-        self.model_size = model_size
-        logger.info("MLX TTS model %s loaded successfully", model_size)
-
+            # Get model path BEFORE importing mlx_audio
+            model_path = self._get_model_path(model_size)
+            
+            # Set up progress tracking
+            progress_manager = get_progress_manager()
+            task_manager = get_task_manager()
+            model_name = f"qwen-tts-{model_size}"
+            
+            # Check if model is already cached
+            is_cached = self._is_model_cached(model_size)
+            
+            # Set up progress callback
+            # If cached: filter out non-download progress
+            # If not cached: report all progress (we're actually downloading)
+            progress_callback = create_hf_progress_callback(model_name, progress_manager)
+            tracker = HFProgressTracker(progress_callback, filter_non_downloads=is_cached)
+            
+            print(f"Loading MLX TTS model {model_size}...")
+            
+            # Only track download progress if model is NOT cached
+            if not is_cached:
+                # Start tracking download task
+                task_manager.start_download(model_name)
+                
+                # Initialize progress state so SSE endpoint has initial data to send
+                # This provides immediate feedback while HuggingFace fetches metadata
+                progress_manager.update_progress(
+                    model_name=model_name,
+                    current=0,
+                    total=0,  # Will be updated once actual total is known
+                    filename="Connecting to HuggingFace...",
+                    status="downloading",
+                )
+            
+            # IMPORTANT: Patch tqdm BEFORE importing mlx_audio
+            # Otherwise mlx_audio caches reference to original tqdm
+            tracker_context = tracker.patch_download()
+            tracker_context.__enter__()
+            
+            # Import mlx_audio AFTER patching tqdm
+            from mlx_audio.tts import load
+            
+            # Load MLX model (downloads automatically)
+            try:
+                self.model = load(model_path)
+            finally:
+                # Exit the patch context
+                tracker_context.__exit__(None, None, None)
+            
+            # Only mark download as complete if we were tracking it
+            if not is_cached:
+                progress_manager.mark_complete(model_name)
+                task_manager.complete_download(model_name)
+            
+            self._current_model_size = model_size
+            self.model_size = model_size
+            
+            print(f"MLX TTS model {model_size} loaded successfully")
+            
+        except ImportError as e:
+            print(f"Error: mlx_audio package not found. Install with: pip install mlx-audio")
+            progress_manager = get_progress_manager()
+            task_manager = get_task_manager()
+            model_name = f"qwen-tts-{model_size}"
+            progress_manager.mark_error(model_name, str(e))
+            task_manager.error_download(model_name, str(e))
+            raise
+        except Exception as e:
+            print(f"Error loading MLX TTS model: {e}")
+            progress_manager = get_progress_manager()
+            task_manager = get_task_manager()
+            model_name = f"qwen-tts-{model_size}"
+            progress_manager.mark_error(model_name, str(e))
+            task_manager.error_download(model_name, str(e))
+            raise
+    
    def unload_model(self):
        """Unload the model to free memory."""
        if self.model is not None:
            del self.model
            self.model = None
            self._current_model_size = None
-            logger.info("MLX TTS model unloaded")
-
+            print("MLX TTS model unloaded")
+    
    async def create_voice_prompt(
        self,
        audio_path: str,
@@ -143,20 +212,20 @@ class MLXTTSBackend:
    ) -> Tuple[dict, bool]:
        """
        Create voice prompt from reference audio.
-
+        
        MLX backend stores voice prompt as a dict with audio path and text.
        The actual voice prompt processing happens during generation.
-
+        
        Args:
            audio_path: Path to reference audio file
            reference_text: Transcript of reference audio
            use_cache: Whether to use cached prompt if available
-
+            
        Returns:
            Tuple of (voice_prompt_dict, was_cached)
        """
        await self.load_model_async(None)
-
+        
        # Check cache if enabled
        if use_cache:
            cache_key = get_cache_key(audio_path, reference_text)
@@ -170,25 +239,53 @@ class MLXTTSBackend:
                        return cached_prompt, True
                    else:
                        # Cached file no longer exists, invalidate cache
-                        logger.warning("Cached audio file not found: %s, regenerating prompt", cached_audio_path)
-
+                        print(f"Cached audio file not found: {cached_audio_path}, regenerating prompt")
+        
        # MLX voice prompt format - store audio path and text
        # The model will process this during generation
        voice_prompt_items = {
            "ref_audio": str(audio_path),
            "ref_text": reference_text,
        }
-
+        
        # Cache if enabled
        if use_cache:
            cache_key = get_cache_key(audio_path, reference_text)
            cache_voice_prompt(cache_key, voice_prompt_items)
-
+        
        return voice_prompt_items, False
-
-    async def combine_voice_prompts(self, audio_paths, reference_texts):
-        return await _combine_voice_prompts(audio_paths, reference_texts)
-
+    
+    async def combine_voice_prompts(
+        self,
+        audio_paths: List[str],
+        reference_texts: List[str],
+    ) -> Tuple[np.ndarray, str]:
+        """
+        Combine multiple reference samples for better quality.
+        
+        Args:
+            audio_paths: List of audio file paths
+            reference_texts: List of reference texts
+            
+        Returns:
+            Tuple of (combined_audio, combined_text)
+        """
+        combined_audio = []
+        
+        for audio_path in audio_paths:
+            audio, sr = load_audio(audio_path)
+            audio = normalize_audio(audio)
+            combined_audio.append(audio)
+        
+        # Concatenate audio
+        mixed = np.concatenate(combined_audio)
+        mixed = normalize_audio(mixed)
+        
+        # Combine texts
+        combined_text = " ".join(reference_texts)
+        
+        return mixed, combined_text
+    
    async def generate(
        self,
        text: str,
@@ -212,33 +309,31 @@ class MLXTTSBackend:
        """
        await self.load_model_async(None)

-        logger.info("Generating audio for text: %s", text)
+        print(f"Generating audio for text: {text}")

        def _generate_sync():
            """Run synchronous generation in thread pool."""
            # MLX generate() returns a generator yielding GenerationResult objects
            audio_chunks = []
            sample_rate = 24000
-            lang = LANGUAGE_CODE_TO_NAME.get(language, "auto")
-
+            
            # Set seed if provided (MLX uses numpy random)
            if seed is not None:
                import mlx.core as mx
-
                np.random.seed(seed)
                mx.random.seed(seed)
-
+            
            # Extract voice prompt info
            ref_audio = voice_prompt.get("ref_audio") or voice_prompt.get("ref_audio_path")
            ref_text = voice_prompt.get("ref_text", "")
-
+            
            # Validate that the audio file exists
            if ref_audio and not Path(ref_audio).exists():
-                logger.warning("Audio file not found: %s", ref_audio)
-                logger.warning("This may be due to a cached voice prompt referencing a deleted temp file.")
-                logger.warning("Regenerating without voice prompt.")
+                print(f"Warning: Audio file not found: {ref_audio}")
+                print("This may be due to a cached voice prompt referencing a deleted temp file.")
+                print("Regenerating without voice prompt.")
                ref_audio = None
-
+            
            # Check if model supports voice cloning via generate method
            # MLX API may support ref_audio parameter directly
            try:
@@ -246,37 +341,36 @@ class MLXTTSBackend:
                if ref_audio:
                    # Check if generate accepts ref_audio parameter
                    import inspect
-
                    sig = inspect.signature(self.model.generate)
                    if "ref_audio" in sig.parameters:
                        # Generate with voice cloning
-                        for result in self.model.generate(text, ref_audio=ref_audio, ref_text=ref_text, lang_code=lang):
+                        for result in self.model.generate(text, ref_audio=ref_audio, ref_text=ref_text):
                            audio_chunks.append(np.array(result.audio))
                            sample_rate = result.sample_rate
                    else:
                        # Fallback: generate without voice cloning
-                        for result in self.model.generate(text, lang_code=lang):
+                        for result in self.model.generate(text):
                            audio_chunks.append(np.array(result.audio))
                            sample_rate = result.sample_rate
                else:
                    # No voice prompt, generate normally
-                    for result in self.model.generate(text, lang_code=lang):
+                    for result in self.model.generate(text):
                        audio_chunks.append(np.array(result.audio))
                        sample_rate = result.sample_rate
            except Exception as e:
                # If voice cloning fails, try without it
-                logger.warning("Voice cloning failed, generating without voice prompt: %s", e)
-                for result in self.model.generate(text, lang_code=lang):
+                print(f"Warning: Voice cloning failed, generating without voice prompt: {e}")
+                for result in self.model.generate(text):
                    audio_chunks.append(np.array(result.audio))
                    sample_rate = result.sample_rate
-
+            
            # Concatenate all chunks
            if audio_chunks:
                audio = np.concatenate([np.asarray(chunk, dtype=np.float32) for chunk in audio_chunks])
            else:
                # Fallback: empty audio
                audio = np.array([], dtype=np.float32)
-
+            
            return audio, sample_rate

        # Run blocking inference in thread pool
@@ -287,60 +381,157 @@ class MLXTTSBackend:

 class MLXSTTBackend:
    """MLX-based STT backend using mlx-audio Whisper."""
-
+    
    def __init__(self, model_size: str = "base"):
        self.model = None
        self.model_size = model_size
-
+    
    def is_loaded(self) -> bool:
        """Check if model is loaded."""
        return self.model is not None
-
+    
    def _is_model_cached(self, model_size: str) -> bool:
-        hf_repo = WHISPER_HF_REPOS.get(model_size, f"openai/whisper-{model_size}")
-        return is_model_cached(hf_repo, weight_extensions=(".safetensors", ".bin", ".npz"))
-
+        """
+        Check if the Whisper model is already cached locally AND fully downloaded.
+        
+        Args:
+            model_size: Model size to check
+            
+        Returns:
+            True if model is fully cached, False if missing or incomplete
+        """
+        try:
+            from huggingface_hub import constants as hf_constants
+            model_name = f"openai/whisper-{model_size}"
+            repo_cache = Path(hf_constants.HF_HUB_CACHE) / ("models--" + model_name.replace("/", "--"))
+            
+            if not repo_cache.exists():
+                return False
+            
+            # Check for .incomplete files - if any exist, download is still in progress
+            blobs_dir = repo_cache / "blobs"
+            if blobs_dir.exists() and any(blobs_dir.glob("*.incomplete")):
+                print(f"[_is_model_cached] Found .incomplete files for whisper-{model_size}, treating as not cached")
+                return False
+            
+            # Check that actual model weight files exist in snapshots
+            snapshots_dir = repo_cache / "snapshots"
+            if snapshots_dir.exists():
+                has_weights = (
+                    any(snapshots_dir.rglob("*.safetensors")) or
+                    any(snapshots_dir.rglob("*.bin")) or
+                    any(snapshots_dir.rglob("*.npz"))
+                )
+                if not has_weights:
+                    print(f"[_is_model_cached] No model weights found for whisper-{model_size}, treating as not cached")
+                    return False
+            
+            return True
+        except Exception as e:
+            print(f"[_is_model_cached] Error checking cache for whisper-{model_size}: {e}")
+            return False
+    
    async def load_model_async(self, model_size: Optional[str] = None):
        """
        Lazy load the MLX Whisper model.
-
+        
        Args:
            model_size: Model size (tiny, base, small, medium, large)
        """
        if model_size is None:
            model_size = self.model_size
-
+        
        if self.model is not None and self.model_size == model_size:
            return
-
+        
        # Run blocking load in thread pool
        await asyncio.to_thread(self._load_model_sync, model_size)
-
+    
    # Alias for compatibility
    load_model = load_model_async
-
+    
    def _load_model_sync(self, model_size: str):
        """Synchronous model loading."""
-        progress_model_name = f"whisper-{model_size}"
-        is_cached = self._is_model_cached(model_size)
+        try:
+            progress_manager = get_progress_manager()
+            task_manager = get_task_manager()
+            progress_model_name = f"whisper-{model_size}"

-        with model_load_progress(progress_model_name, is_cached):
+            # Check if model is already cached
+            is_cached = self._is_model_cached(model_size)
+
+            # Set up progress callback and tracker
+            # If cached: filter out non-download progress
+            # If not cached: report all progress (we're actually downloading)
+            progress_callback = create_hf_progress_callback(progress_model_name, progress_manager)
+            tracker = HFProgressTracker(progress_callback, filter_non_downloads=is_cached)
+
+            # Patch tqdm BEFORE importing mlx_audio
+            tracker_context = tracker.patch_download()
+            tracker_context.__enter__()
+
+            # Import mlx_audio
            from mlx_audio.stt import load

-            model_name = WHISPER_HF_REPOS.get(model_size, f"openai/whisper-{model_size}")
-            logger.info("Loading MLX Whisper model %s...", model_size)
-            self.model = load(model_name)
+            # MLX Whisper uses the standard OpenAI models
+            model_name = f"openai/whisper-{model_size}"

-        self.model_size = model_size
-        logger.info("MLX Whisper model %s loaded successfully", model_size)
+            print(f"Loading MLX Whisper model {model_size}...")

+            # Only track download progress if model is NOT cached
+            if not is_cached:
+                # Start tracking download task
+                task_manager.start_download(progress_model_name)
+                
+                # Initialize progress state so SSE endpoint has initial data to send
+                progress_manager.update_progress(
+                    model_name=progress_model_name,
+                    current=0,
+                    total=0,
+                    filename="Connecting to HuggingFace...",
+                    status="downloading",
+                )
+
+            # Load the model (tqdm is patched, but filters out non-download progress)
+            try:
+                self.model = load(model_name)
+            finally:
+                # Exit the patch context
+                tracker_context.__exit__(None, None, None)
+            
+            # Only mark download as complete if we were tracking it
+            if not is_cached:
+                progress_manager.mark_complete(progress_model_name)
+                task_manager.complete_download(progress_model_name)
+            
+            self.model_size = model_size
+            
+            print(f"MLX Whisper model {model_size} loaded successfully")
+            
+        except ImportError as e:
+            print(f"Error: mlx_audio package not found. Install with: pip install mlx-audio")
+            progress_manager = get_progress_manager()
+            task_manager = get_task_manager()
+            progress_model_name = f"whisper-{model_size}"
+            progress_manager.mark_error(progress_model_name, str(e))
+            task_manager.error_download(progress_model_name, str(e))
+            raise
+        except Exception as e:
+            print(f"Error loading MLX Whisper model: {e}")
+            progress_manager = get_progress_manager()
+            task_manager = get_task_manager()
+            progress_model_name = f"whisper-{model_size}"
+            progress_manager.mark_error(progress_model_name, str(e))
+            task_manager.error_download(progress_model_name, str(e))
+            raise
+    
    def unload_model(self):
        """Unload the model to free memory."""
        if self.model is not None:
            del self.model
            self.model = None
-            logger.info("MLX Whisper model unloaded")
-
+            print("MLX Whisper model unloaded")
+    
    async def transcribe(
        self,
        audio_path: str,
@@ -4,47 +4,47 @@ PyTorch backend implementation for TTS and STT.

 from typing import Optional, List, Tuple
 import asyncio
-import logging
 import torch
 import numpy as np
+from pathlib import Path

-logger = logging.getLogger(__name__)
-
-from . import TTSBackend, STTBackend, LANGUAGE_CODE_TO_NAME, WHISPER_HF_REPOS
-from .base import (
-    is_model_cached,
-    get_torch_device,
-    combine_voice_prompts as _combine_voice_prompts,
-    model_load_progress,
-)
+from . import TTSBackend, STTBackend
 from ..utils.cache import get_cache_key, get_cached_voice_prompt, cache_voice_prompt
-from ..utils.audio import load_audio
+from ..utils.audio import normalize_audio, load_audio
+from ..utils.progress import get_progress_manager
+from ..utils.hf_progress import HFProgressTracker, create_hf_progress_callback
+from ..utils.tasks import get_task_manager


 class PyTorchTTSBackend:
    """PyTorch-based TTS backend using Qwen3-TTS."""
-
+    
    def __init__(self, model_size: str = "1.7B"):
        self.model = None
        self.model_size = model_size
        self.device = self._get_device()
        self._current_model_size = None
-
+    
    def _get_device(self) -> str:
        """Get the best available device."""
-        return get_torch_device(allow_xpu=True, allow_directml=True)
-
+        if torch.cuda.is_available():
+            return "cuda"
+        elif hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
+            # MPS can have issues, use CPU for stability
+            return "cpu"
+        return "cpu"
+    
    def is_loaded(self) -> bool:
        """Check if model is loaded."""
        return self.model is not None
-
+    
    def _get_model_path(self, model_size: str) -> str:
        """
        Get the HuggingFace Hub model ID.
-
+        
        Args:
            model_size: Model size (1.7B or 0.6B)
-
+            
        Returns:
            HuggingFace Hub model ID
        """
@@ -52,79 +52,169 @@ class PyTorchTTSBackend:
            "1.7B": "Qwen/Qwen3-TTS-12Hz-1.7B-Base",
            "0.6B": "Qwen/Qwen3-TTS-12Hz-0.6B-Base",
        }
-
+        
        if model_size not in hf_model_map:
            raise ValueError(f"Unknown model size: {model_size}")
-
+        
        return hf_model_map[model_size]
-
+    
    def _is_model_cached(self, model_size: str) -> bool:
-        return is_model_cached(self._get_model_path(model_size))
-
+        """
+        Check if the model is already cached locally AND fully downloaded.
+        
+        Args:
+            model_size: Model size to check
+            
+        Returns:
+            True if model is fully cached, False if missing or incomplete
+        """
+        try:
+            from huggingface_hub import constants as hf_constants
+            model_path = self._get_model_path(model_size)
+            repo_cache = Path(hf_constants.HF_HUB_CACHE) / ("models--" + model_path.replace("/", "--"))
+            
+            if not repo_cache.exists():
+                return False
+            
+            # Check for .incomplete files - if any exist, download is still in progress
+            blobs_dir = repo_cache / "blobs"
+            if blobs_dir.exists() and any(blobs_dir.glob("*.incomplete")):
+                print(f"[_is_model_cached] Found .incomplete files for {model_size}, treating as not cached")
+                return False
+            
+            # Check that actual model weight files exist in snapshots
+            snapshots_dir = repo_cache / "snapshots"
+            if snapshots_dir.exists():
+                has_weights = (
+                    any(snapshots_dir.rglob("*.safetensors")) or
+                    any(snapshots_dir.rglob("*.bin"))
+                )
+                if not has_weights:
+                    print(f"[_is_model_cached] No model weights found for {model_size}, treating as not cached")
+                    return False
+            
+            return True
+        except Exception as e:
+            print(f"[_is_model_cached] Error checking cache for {model_size}: {e}")
+            return False
+    
    async def load_model_async(self, model_size: Optional[str] = None):
        """
        Lazy load the TTS model with automatic downloading from HuggingFace Hub.
-
+        
        Args:
            model_size: Model size to load (1.7B or 0.6B)
        """
        if model_size is None:
            model_size = self.model_size
-
+            
        # If already loaded with correct size, return
        if self.model is not None and self._current_model_size == model_size:
            return
-
+        
        # Unload existing model if different size requested
        if self.model is not None and self._current_model_size != model_size:
            self.unload_model()
-
+        
        # Run blocking load in thread pool
        await asyncio.to_thread(self._load_model_sync, model_size)
-
+    
    # Alias for compatibility
    load_model = load_model_async
-
+    
    def _load_model_sync(self, model_size: str):
        """Synchronous model loading."""
-        model_name = f"qwen-tts-{model_size}"
-        is_cached = self._is_model_cached(model_size)
+        try:
+            progress_manager = get_progress_manager()
+            task_manager = get_task_manager()
+            model_name = f"qwen-tts-{model_size}"

-        with model_load_progress(model_name, is_cached):
+            # Check if model is already cached
+            is_cached = self._is_model_cached(model_size)
+
+            # Set up progress callback and tracker
+            # If cached: filter out non-download progress (like "Segment 1/1" during generation)
+            # If not cached: report all progress (we're actually downloading)
+            progress_callback = create_hf_progress_callback(model_name, progress_manager)
+            tracker = HFProgressTracker(progress_callback, filter_non_downloads=is_cached)
+
+            # Patch tqdm BEFORE importing qwen_tts
+            tracker_context = tracker.patch_download()
+            tracker_context.__enter__()
+
+            # Import qwen_tts
            from qwen_tts import Qwen3TTSModel

+            # Get model path (local or HuggingFace Hub ID)
            model_path = self._get_model_path(model_size)
-            logger.info("Loading TTS model %s on %s...", model_size, self.device)

-            if self.device == "cpu":
-                self.model = Qwen3TTSModel.from_pretrained(
-                    model_path,
-                    torch_dtype=torch.float32,
-                    low_cpu_mem_usage=False,
+            print(f"Loading TTS model {model_size} on {self.device}...")
+
+            # Only track download progress if model is NOT cached
+            if not is_cached:
+                # Start tracking download task
+                task_manager.start_download(model_name)
+
+                # Initialize progress state so SSE endpoint has initial data to send
+                progress_manager.update_progress(
+                    model_name=model_name,
+                    current=0,
+                    total=0,  # Will be updated once actual total is known
+                    filename="Connecting to HuggingFace...",
+                    status="downloading",
                )
-            else:
+
+            # Load the model (tqdm is patched, but filters out non-download progress)
+            try:
                self.model = Qwen3TTSModel.from_pretrained(
                    model_path,
                    device_map=self.device,
-                    torch_dtype=torch.bfloat16,
+                    torch_dtype=torch.float32 if self.device == "cpu" else torch.bfloat16,
                )
-
-        self._current_model_size = model_size
-        self.model_size = model_size
-        logger.info("TTS model %s loaded successfully", model_size)
-
+            finally:
+                # Exit the patch context
+                tracker_context.__exit__(None, None, None)
+            
+            # Only mark download as complete if we were tracking it
+            if not is_cached:
+                progress_manager.mark_complete(model_name)
+                task_manager.complete_download(model_name)
+            
+            self._current_model_size = model_size
+            self.model_size = model_size
+            
+            print(f"TTS model {model_size} loaded successfully")
+            
+        except ImportError as e:
+            print(f"Error: qwen_tts package not found. Install with: pip install git+https://github.com/QwenLM/Qwen3-TTS.git")
+            progress_manager = get_progress_manager()
+            task_manager = get_task_manager()
+            model_name = f"qwen-tts-{model_size}"
+            progress_manager.mark_error(model_name, str(e))
+            task_manager.error_download(model_name, str(e))
+            raise
+        except Exception as e:
+            print(f"Error loading TTS model: {e}")
+            print(f"Tip: The model will be automatically downloaded from HuggingFace Hub on first use.")
+            progress_manager = get_progress_manager()
+            task_manager = get_task_manager()
+            model_name = f"qwen-tts-{model_size}"
+            progress_manager.mark_error(model_name, str(e))
+            task_manager.error_download(model_name, str(e))
+            raise
+    
    def unload_model(self):
        """Unload the model to free memory."""
        if self.model is not None:
            del self.model
            self.model = None
            self._current_model_size = None
-
+            
            if torch.cuda.is_available():
                torch.cuda.empty_cache()
-
-            logger.info("TTS model unloaded")
-
+            
+            print("TTS model unloaded")
+    
    async def create_voice_prompt(
        self,
        audio_path: str,
@@ -133,17 +223,17 @@ class PyTorchTTSBackend:
    ) -> Tuple[dict, bool]:
        """
        Create voice prompt from reference audio.
-
+        
        Args:
            audio_path: Path to reference audio file
            reference_text: Transcript of reference audio
            use_cache: Whether to use cached prompt if available
-
+            
        Returns:
            Tuple of (voice_prompt_dict, was_cached)
        """
        await self.load_model_async(None)
-
+        
        # Check cache if enabled
        if use_cache:
            cache_key = get_cache_key(audio_path, reference_text)
@@ -159,7 +249,7 @@ class PyTorchTTSBackend:
                    # Legacy cache format - convert to dict
                    # This shouldn't happen in practice, but handle it
                    return {"prompt": cached_prompt}, True
-
+        
        def _create_prompt_sync():
            """Run synchronous voice prompt creation in thread pool."""
            return self.model.create_voice_clone_prompt(
@@ -167,24 +257,48 @@ class PyTorchTTSBackend:
                ref_text=reference_text,
                x_vector_only_mode=False,
            )
-
+        
        # Run blocking operation in thread pool
        voice_prompt_items = await asyncio.to_thread(_create_prompt_sync)
-
+        
        # Cache if enabled
        if use_cache:
            cache_key = get_cache_key(audio_path, reference_text)
            cache_voice_prompt(cache_key, voice_prompt_items)
-
+        
        return voice_prompt_items, False
-
+    
    async def combine_voice_prompts(
        self,
        audio_paths: List[str],
        reference_texts: List[str],
    ) -> Tuple[np.ndarray, str]:
-        return await _combine_voice_prompts(audio_paths, reference_texts)
-
+        """
+        Combine multiple reference samples for better quality.
+        
+        Args:
+            audio_paths: List of audio file paths
+            reference_texts: List of reference texts
+            
+        Returns:
+            Tuple of (combined_audio, combined_text)
+        """
+        combined_audio = []
+        
+        for audio_path in audio_paths:
+            audio, sr = load_audio(audio_path)
+            audio = normalize_audio(audio)
+            combined_audio.append(audio)
+        
+        # Concatenate audio
+        mixed = np.concatenate(combined_audio)
+        mixed = normalize_audio(mixed)
+        
+        # Combine texts
+        combined_text = " ".join(reference_texts)
+        
+        return mixed, combined_text
+    
    async def generate(
        self,
        text: str,
@@ -221,7 +335,6 @@ class PyTorchTTSBackend:
            wavs, sample_rate = self.model.generate_voice_clone(
                text=text,
                voice_clone_prompt=voice_prompt,
-                language=LANGUAGE_CODE_TO_NAME.get(language, "auto"),
                instruct=instruct,
            )
            return wavs[0], sample_rate
@@ -234,25 +347,66 @@ class PyTorchTTSBackend:

 class PyTorchSTTBackend:
    """PyTorch-based STT backend using Whisper."""
-
+    
    def __init__(self, model_size: str = "base"):
        self.model = None
        self.processor = None
        self.model_size = model_size
        self.device = self._get_device()
-
+    
    def _get_device(self) -> str:
        """Get the best available device."""
-        return get_torch_device(allow_xpu=True, allow_directml=True)
-
+        if torch.cuda.is_available():
+            return "cuda"
+        elif hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
+            # MPS support for Whisper
+            return "cpu"  # Use CPU for stability
+        return "cpu"
+    
    def is_loaded(self) -> bool:
        """Check if model is loaded."""
        return self.model is not None
-
+    
    def _is_model_cached(self, model_size: str) -> bool:
-        hf_repo = WHISPER_HF_REPOS.get(model_size, f"openai/whisper-{model_size}")
-        return is_model_cached(hf_repo)
-
+        """
+        Check if the Whisper model is already cached locally AND fully downloaded.
+        
+        Args:
+            model_size: Model size to check
+            
+        Returns:
+            True if model is fully cached, False if missing or incomplete
+        """
+        try:
+            from huggingface_hub import constants as hf_constants
+            model_name = f"openai/whisper-{model_size}"
+            repo_cache = Path(hf_constants.HF_HUB_CACHE) / ("models--" + model_name.replace("/", "--"))
+            
+            if not repo_cache.exists():
+                return False
+            
+            # Check for .incomplete files - if any exist, download is still in progress
+            blobs_dir = repo_cache / "blobs"
+            if blobs_dir.exists() and any(blobs_dir.glob("*.incomplete")):
+                print(f"[_is_model_cached] Found .incomplete files for whisper-{model_size}, treating as not cached")
+                return False
+            
+            # Check that actual model weight files exist in snapshots
+            snapshots_dir = repo_cache / "snapshots"
+            if snapshots_dir.exists():
+                has_weights = (
+                    any(snapshots_dir.rglob("*.safetensors")) or
+                    any(snapshots_dir.rglob("*.bin"))
+                )
+                if not has_weights:
+                    print(f"[_is_model_cached] No model weights found for whisper-{model_size}, treating as not cached")
+                    return False
+            
+            return True
+        except Exception as e:
+            print(f"[_is_model_cached] Error checking cache for whisper-{model_size}: {e}")
+            return False
+    
    async def load_model_async(self, model_size: Optional[str] = None):
        """
        Lazy load the Whisper model.
@@ -260,35 +414,95 @@ class PyTorchSTTBackend:
        Args:
            model_size: Model size (tiny, base, small, medium, large)
        """
+        print(f"[DEBUG] load_model_async called with size: {model_size}")
        if model_size is None:
            model_size = self.model_size

+        print(f"[DEBUG] Model already loaded? {self.model is not None}, current size: {self.model_size}, requested: {model_size}")
        if self.model is not None and self.model_size == model_size:
+            print(f"[DEBUG] Early return - model already loaded")
            return

+        print(f"[DEBUG] Calling asyncio.to_thread for _load_model_sync")
+        # Run blocking load in thread pool
        await asyncio.to_thread(self._load_model_sync, model_size)
-
+        print(f"[DEBUG] asyncio.to_thread completed")
+    
    # Alias for compatibility
    load_model = load_model_async
-
+    
    def _load_model_sync(self, model_size: str):
        """Synchronous model loading."""
-        progress_model_name = f"whisper-{model_size}"
-        is_cached = self._is_model_cached(model_size)
+        print(f"[DEBUG] _load_model_sync called for Whisper {model_size}")
+        try:
+            progress_manager = get_progress_manager()
+            task_manager = get_task_manager()
+            progress_model_name = f"whisper-{model_size}"

-        with model_load_progress(progress_model_name, is_cached):
+            # Check if model is already cached
+            is_cached = self._is_model_cached(model_size)
+
+            # Set up progress callback and tracker
+            # If cached: filter out non-download progress
+            # If not cached: report all progress (we're actually downloading)
+            progress_callback = create_hf_progress_callback(progress_model_name, progress_manager)
+            tracker = HFProgressTracker(progress_callback, filter_non_downloads=is_cached)
+
+            # Patch tqdm BEFORE importing transformers
+            print("[DEBUG] Starting tqdm patch BEFORE transformers import")
+            tracker_context = tracker.patch_download()
+            tracker_context.__enter__()
+            print("[DEBUG] tqdm patched, now importing transformers")
+
+            # Import transformers
            from transformers import WhisperProcessor, WhisperForConditionalGeneration

-            model_name = WHISPER_HF_REPOS.get(model_size, f"openai/whisper-{model_size}")
-            logger.info("Loading Whisper model %s on %s...", model_size, self.device)
+            model_name = f"openai/whisper-{model_size}"
+            print(f"[DEBUG] Model name: {model_name}")

-            self.processor = WhisperProcessor.from_pretrained(model_name)
-            self.model = WhisperForConditionalGeneration.from_pretrained(model_name)
+            print(f"Loading Whisper model {model_size} on {self.device}...")

-        self.model.to(self.device)
-        self.model_size = model_size
-        logger.info("Whisper model %s loaded successfully", model_size)
+            # Only track download progress if model is NOT cached
+            if not is_cached:
+                # Start tracking download task
+                task_manager.start_download(progress_model_name)

+                # Initialize progress state so SSE endpoint has initial data to send
+                progress_manager.update_progress(
+                    model_name=progress_model_name,
+                    current=0,
+                    total=0,  # Will be updated once actual total is known
+                    filename="Connecting to HuggingFace...",
+                    status="downloading",
+                )
+
+            # Load models (tqdm is patched, but filters out non-download progress)
+            try:
+                self.processor = WhisperProcessor.from_pretrained(model_name)
+                self.model = WhisperForConditionalGeneration.from_pretrained(model_name)
+            finally:
+                # Exit the patch context
+                tracker_context.__exit__(None, None, None)
+            
+            # Only mark download as complete if we were tracking it
+            if not is_cached:
+                progress_manager.mark_complete(progress_model_name)
+                task_manager.complete_download(progress_model_name)
+            
+            self.model.to(self.device)
+            self.model_size = model_size
+            
+            print(f"Whisper model {model_size} loaded successfully")
+            
+        except Exception as e:
+            print(f"Error loading Whisper model: {e}")
+            progress_manager = get_progress_manager()
+            task_manager = get_task_manager()
+            progress_model_name = f"whisper-{model_size}"
+            progress_manager.mark_error(progress_model_name, str(e))
+            task_manager.error_download(progress_model_name, str(e))
+            raise
+    
    def unload_model(self):
        """Unload the model to free memory."""
        if self.model is not None:
@@ -296,12 +510,12 @@ class PyTorchSTTBackend:
            del self.processor
            self.model = None
            self.processor = None
-
+            
            if torch.cuda.is_available():
                torch.cuda.empty_cache()
-
-            logger.info("Whisper model unloaded")
-
+            
+            print("Whisper model unloaded")
+    
    async def transcribe(
        self,
        audio_path: str,
@@ -309,21 +523,21 @@ class PyTorchSTTBackend:
    ) -> str:
        """
        Transcribe audio to text.
-
+        
        Args:
            audio_path: Path to audio file
            language: Optional language hint (en or zh)
-
+            
        Returns:
            Transcribed text
        """
        await self.load_model_async(None)
-
+        
        def _transcribe_sync():
            """Run synchronous transcription in thread pool."""
            # Load audio
            audio, sr = load_audio(audio_path, sample_rate=16000)
-
+            
            # Process audio
            inputs = self.processor(
                audio,
@@ -331,30 +545,31 @@ class PyTorchSTTBackend:
                return_tensors="pt",
            )
            inputs = inputs.to(self.device)
-
-            # Generate transcription
-            # If language is provided, force it; otherwise let Whisper auto-detect
-            generate_kwargs = {}
+            
+            # Set language if provided
+            forced_decoder_ids = None
            if language:
+                # Support all languages from frontend: en, zh, ja, ko, de, fr, ru, pt, es, it
+                # Whisper supports these and many more
                forced_decoder_ids = self.processor.get_decoder_prompt_ids(
                    language=language,
                    task="transcribe",
                )
-                generate_kwargs["forced_decoder_ids"] = forced_decoder_ids
-
+            
+            # Generate transcription
            with torch.no_grad():
                predicted_ids = self.model.generate(
                    inputs["input_features"],
-                    **generate_kwargs,
+                    forced_decoder_ids=forced_decoder_ids,
                )
-
+            
            # Decode
            transcription = self.processor.batch_decode(
                predicted_ids,
                skip_special_tokens=True,
            )[0]
-
+            
            return transcription.strip()
-
+        
        # Run blocking transcription in thread pool
        return await asyncio.to_thread(_transcribe_sync)
@@ -1,343 +1,126 @@
 """
 PyInstaller build script for creating standalone Python server binary.
-
-Usage:
-    python build_binary.py           # Build default (CPU) server binary
-    python build_binary.py --cuda    # Build CUDA-enabled server binary
 """

 import PyInstaller.__main__
-import argparse
-import logging
 import os
 import platform
 import sys
 from pathlib import Path

-logger = logging.getLogger(__name__)
-

 def is_apple_silicon():
    """Check if running on Apple Silicon."""
    return platform.system() == "Darwin" and platform.machine() == "arm64"


-def build_server(cuda=False):
+def build_server(variant="cpu"):
    """Build Python server as standalone binary.

    Args:
-        cuda: If True, build with CUDA support and name the binary
-              voicebox-server-cuda instead of voicebox-server.
+        variant: 'cpu' for CPU-only build (~500MB) or 'cuda' for CUDA build (~3GB)
    """
    backend_dir = Path(__file__).parent

-    binary_name = "voicebox-server-cuda" if cuda else "voicebox-server"
+    if variant not in ['cpu', 'cuda']:
+        raise ValueError(f"Invalid variant: {variant}. Must be 'cpu' or 'cuda'")
+
+    # Set binary name based on variant
+    binary_name = f'voicebox-server-{variant}' if variant == 'cuda' else 'voicebox-server'
+
+    print(f"Building {variant.upper()} variant: {binary_name}")

    # PyInstaller arguments
    args = [
-        "server.py",  # Use server.py as entry point instead of main.py
-        "--onefile",
-        "--name",
-        binary_name,
+        'server.py',  # Use server.py as entry point instead of main.py
+        '--onefile',
+        '--name', binary_name,
    ]

-    # Hide console window on Windows only. On macOS/Linux the sidecar needs
-    # stdout/stderr for Tauri to capture logs.
-    if platform.system() == "Windows":
-        args.append("--noconsole")
-
    # Add local qwen_tts path if specified (for editable installs)
-    qwen_tts_path = os.getenv("QWEN_TTS_PATH")
+    qwen_tts_path = os.getenv('QWEN_TTS_PATH')
    if qwen_tts_path and Path(qwen_tts_path).exists():
-        args.extend(["--paths", str(qwen_tts_path)])
-        logger.info("Using local qwen_tts source from: %s", qwen_tts_path)
+        args.extend(['--paths', str(qwen_tts_path)])
+        print(f"Using local qwen_tts source from: {qwen_tts_path}")

    # Add common hidden imports
-    args.extend(
-        [
-            "--hidden-import",
-            "backend",
-            "--hidden-import",
-            "backend.main",
-            "--hidden-import",
-            "backend.config",
-            "--hidden-import",
-            "backend.database",
-            "--hidden-import",
-            "backend.models",
-            "--hidden-import",
-            "backend.services.profiles",
-            "--hidden-import",
-            "backend.services.history",
-            "--hidden-import",
-            "backend.services.tts",
-            "--hidden-import",
-            "backend.services.transcribe",
-            "--hidden-import",
-            "backend.utils.platform_detect",
-            "--hidden-import",
-            "backend.backends",
-            "--hidden-import",
-            "backend.backends.pytorch_backend",
-            "--hidden-import",
-            "backend.utils.audio",
-            "--hidden-import",
-            "backend.utils.cache",
-            "--hidden-import",
-            "backend.utils.progress",
-            "--hidden-import",
-            "backend.utils.hf_progress",
-            "--hidden-import",
-            "backend.services.cuda",
-            "--hidden-import",
-            "backend.services.effects",
-            "--hidden-import",
-            "backend.utils.effects",
-            "--hidden-import",
-            "backend.services.versions",
-            "--hidden-import",
-            "pedalboard",
-            "--hidden-import",
-            "chatterbox",
-            "--hidden-import",
-            "chatterbox.tts_turbo",
-            "--hidden-import",
-            "chatterbox.mtl_tts",
-            "--hidden-import",
-            "backend.backends.chatterbox_backend",
-            "--hidden-import",
-            "backend.backends.chatterbox_turbo_backend",
-            "--hidden-import",
-            "backend.backends.luxtts_backend",
-            "--hidden-import",
-            "zipvoice",
-            "--hidden-import",
-            "zipvoice.luxvoice",
-            "--collect-all",
-            "zipvoice",
-            "--collect-all",
-            "linacodec",
-            "--hidden-import",
-            "torch",
-            "--hidden-import",
-            "transformers",
-            "--hidden-import",
-            "fastapi",
-            "--hidden-import",
-            "uvicorn",
-            "--hidden-import",
-            "sqlalchemy",
-            "--hidden-import",
-            "librosa",
-            "--hidden-import",
-            "soundfile",
-            "--hidden-import",
-            "qwen_tts",
-            "--hidden-import",
-            "qwen_tts.inference",
-            "--hidden-import",
-            "qwen_tts.inference.qwen3_tts_model",
-            "--hidden-import",
-            "qwen_tts.inference.qwen3_tts_tokenizer",
-            "--hidden-import",
-            "qwen_tts.core",
-            "--hidden-import",
-            "qwen_tts.cli",
-            "--copy-metadata",
-            "qwen-tts",
-            "--copy-metadata",
-            "requests",
-            "--copy-metadata",
-            "transformers",
-            "--copy-metadata",
-            "huggingface-hub",
-            "--copy-metadata",
-            "tokenizers",
-            "--copy-metadata",
-            "safetensors",
-            "--copy-metadata",
-            "tqdm",
-            "--hidden-import",
-            "requests",
-            "--collect-submodules",
-            "qwen_tts",
-            "--collect-data",
-            "qwen_tts",
-            # Fix for pkg_resources and jaraco namespace packages
-            "--hidden-import",
-            "pkg_resources.extern",
-            "--collect-submodules",
-            "jaraco",
-            # inflect uses typeguard @typechecked which calls inspect.getsource()
-            # at import time — needs .py source files, not just .pyc bytecode
-            "--collect-all",
-            "inflect",
-            # perth ships pretrained watermark model files (hparams.yaml, .pth.tar)
-            # in perth/perth_net/pretrained/ — needed by chatterbox at runtime
-            "--collect-all",
-            "perth",
-            # piper_phonemize ships espeak-ng-data/ (phoneme tables, language dicts)
-            # needed by LuxTTS for text-to-phoneme conversion
-            "--collect-all",
-            "piper_phonemize",
-        ]
-    )
+    args.extend([
+        '--hidden-import', 'backend',
+        '--hidden-import', 'backend.main',
+        '--hidden-import', 'backend.config',
+        '--hidden-import', 'backend.database',
+        '--hidden-import', 'backend.models',
+        '--hidden-import', 'backend.profiles',
+        '--hidden-import', 'backend.history',
+        '--hidden-import', 'backend.tts',
+        '--hidden-import', 'backend.transcribe',
+        '--hidden-import', 'backend.platform_detect',
+        '--hidden-import', 'backend.backends',
+        '--hidden-import', 'backend.backends.pytorch_backend',
+        '--hidden-import', 'backend.utils.audio',
+        '--hidden-import', 'backend.utils.cache',
+        '--hidden-import', 'backend.utils.progress',
+        '--hidden-import', 'backend.utils.hf_progress',
+        '--hidden-import', 'backend.utils.validation',
+        '--hidden-import', 'torch',
+        '--hidden-import', 'transformers',
+        '--hidden-import', 'fastapi',
+        '--hidden-import', 'uvicorn',
+        '--hidden-import', 'sqlalchemy',
+        '--hidden-import', 'librosa',
+        '--hidden-import', 'soundfile',
+        '--hidden-import', 'qwen_tts',
+        '--hidden-import', 'qwen_tts.inference',
+        '--hidden-import', 'qwen_tts.inference.qwen3_tts_model',
+        '--hidden-import', 'qwen_tts.inference.qwen3_tts_tokenizer',
+        '--hidden-import', 'qwen_tts.core',
+        '--hidden-import', 'qwen_tts.cli',
+        '--copy-metadata', 'qwen-tts',
+        '--collect-submodules', 'qwen_tts',
+        '--collect-data', 'qwen_tts',
+        # Fix for pkg_resources and jaraco namespace packages
+        '--hidden-import', 'pkg_resources.extern',
+        '--collect-submodules', 'jaraco',
+    ])

-    # Add CUDA-specific hidden imports
-    if cuda:
-        logger.info("Building with CUDA support")
-        args.extend(
-            [
-                "--hidden-import",
-                "torch.cuda",
-                "--hidden-import",
-                "torch.backends.cudnn",
-            ]
-        )
+    # Add MLX-specific imports if building on Apple Silicon
+    if is_apple_silicon():
+        print("Building for Apple Silicon - including MLX dependencies")
+        args.extend([
+            '--hidden-import', 'backend.backends.mlx_backend',
+            '--hidden-import', 'mlx',
+            '--hidden-import', 'mlx.core',
+            '--hidden-import', 'mlx.nn',
+            '--hidden-import', 'mlx_audio',
+            '--hidden-import', 'mlx_audio.tts',
+            '--hidden-import', 'mlx_audio.stt',
+            '--collect-submodules', 'mlx',
+            '--collect-submodules', 'mlx_audio',
+            # Collect MLX data files including Metal shader libraries (.metallib)
+            '--collect-data', 'mlx',
+            '--collect-data', 'mlx_audio',
+        ])
    else:
-        # Exclude NVIDIA CUDA packages from CPU-only builds to keep binary small.
-        # When building from a venv with CUDA torch installed, PyInstaller would
-        # bundle ~3GB of NVIDIA shared libraries. We exclude both the Python
-        # modules and the binary DLLs.
-        nvidia_packages = [
-            "nvidia",
-            "nvidia.cublas",
-            "nvidia.cuda_cupti",
-            "nvidia.cuda_nvrtc",
-            "nvidia.cuda_runtime",
-            "nvidia.cudnn",
-            "nvidia.cufft",
-            "nvidia.curand",
-            "nvidia.cusolver",
-            "nvidia.cusparse",
-            "nvidia.nccl",
-            "nvidia.nvjitlink",
-            "nvidia.nvtx",
-        ]
-        for pkg in nvidia_packages:
-            args.extend(["--exclude-module", pkg])
+        print("Building for non-Apple Silicon platform - PyTorch only")

-    # Add MLX-specific imports if building on Apple Silicon (never for CUDA builds)
-    if is_apple_silicon() and not cuda:
-        logger.info("Building for Apple Silicon - including MLX dependencies")
-        args.extend(
-            [
-                "--hidden-import",
-                "backend.backends.mlx_backend",
-                "--hidden-import",
-                "mlx",
-                "--hidden-import",
-                "mlx.core",
-                "--hidden-import",
-                "mlx.nn",
-                "--hidden-import",
-                "mlx_audio",
-                "--hidden-import",
-                "mlx_audio.tts",
-                "--hidden-import",
-                "mlx_audio.stt",
-                "--collect-submodules",
-                "mlx",
-                "--collect-submodules",
-                "mlx_audio",
-                # Use --collect-all so PyInstaller bundles both data files AND
-                # native shared libraries (.dylib, .metallib) for MLX.
-                # Previously only --collect-data was used, which caused MLX to
-                # raise OSError at runtime inside the bundled binary because
-                # the Metal shader libraries were missing.
-                "--collect-all",
-                "mlx",
-                "--collect-all",
-                "mlx_audio",
-            ]
-        )
-    elif not cuda:
-        logger.info("Building for non-Apple Silicon platform - PyTorch only")
-
-    dist_dir = str(backend_dir / "dist")
-    build_dir = str(backend_dir / "build")
-
-    args.extend(
-        [
-            "--distpath",
-            dist_dir,
-            "--workpath",
-            build_dir,
-            "--noconfirm",
-            "--clean",
-        ]
-    )
+    args.extend([
+        '--noconfirm',
+        '--clean',
+    ])

    # Change to backend directory
    os.chdir(backend_dir)
-
-    # For CPU builds on Windows, ensure we're using CPU-only torch.
-    # If CUDA torch is installed (local dev), swap to CPU torch before building,
-    # then restore CUDA torch after. This prevents PyInstaller from bundling
-    # ~3GB of CUDA DLLs into the CPU binary.
-    restore_cuda = False
-    if not cuda and platform.system() == "Windows":
-        import subprocess
-
-        result = subprocess.run(
-            [sys.executable, "-c", "import torch; print(torch.version.cuda or '')"], capture_output=True, text=True
-        )
-        has_cuda_torch = bool(result.stdout.strip())
-        if has_cuda_torch:
-            logger.info("CUDA torch detected — installing CPU torch for CPU build...")
-            subprocess.run(
-                [
-                    sys.executable,
-                    "-m",
-                    "pip",
-                    "install",
-                    "torch",
-                    "torchvision",
-                    "torchaudio",
-                    "--index-url",
-                    "https://download.pytorch.org/whl/cpu",
-                    "--force-reinstall",
-                    "-q",
-                ],
-                check=True,
-            )
-            restore_cuda = True
-
+    
    # Run PyInstaller
-    try:
-        PyInstaller.__main__.run(args)
-    finally:
-        # Restore CUDA torch if we swapped it out (even on build failure)
-        if restore_cuda:
-            logger.info("Restoring CUDA torch...")
-            import subprocess
+    PyInstaller.__main__.run(args)

-            subprocess.run(
-                [
-                    sys.executable,
-                    "-m",
-                    "pip",
-                    "install",
-                    "torch",
-                    "torchvision",
-                    "torchaudio",
-                    "--index-url",
-                    "https://download.pytorch.org/whl/cu126",
-                    "--force-reinstall",
-                    "-q",
-                ],
-                check=True,
-            )
-
-    logger.info("Binary built in %s", backend_dir / "dist" / binary_name)
+    print(f"\n{'='*60}")
+    print(f"Build complete: {variant.upper()} variant")
+    print(f"Binary: {backend_dir / 'dist' / binary_name}")
+    print(f"{'='*60}\n")


-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(description="Build voicebox-server binary")
-    parser.add_argument(
-        "--cuda",
-        action="store_true",
-        help="Build CUDA-enabled binary (voicebox-server-cuda)",
-    )
-    cli_args = parser.parse_args()
-    build_server(cuda=cli_args.cuda)
+if __name__ == '__main__':
+    # Accept variant as command line argument
+    variant = sys.argv[1] if len(sys.argv) > 1 else 'cpu'
+    build_server(variant)
@@ -0,0 +1,30 @@
+@echo off
+REM Build both CPU and CUDA server binaries for Windows
+
+echo ============================================================
+echo Building BOTH server binaries (CPU + CUDA)
+echo This will take a while...
+echo ============================================================
+
+call build_cpu.bat
+if errorlevel 1 (
+    echo CPU build failed!
+    exit /b 1
+)
+
+echo.
+echo.
+
+call build_cuda.bat
+if errorlevel 1 (
+    echo CUDA build failed!
+    exit /b 1
+)
+
+echo.
+echo ============================================================
+echo Both binaries built successfully!
+echo ============================================================
+echo CPU binary:  dist\voicebox-server.exe (~500MB)
+echo CUDA binary: dist\voicebox-server-cuda.exe (~3GB)
+echo ============================================================
@@ -0,0 +1,28 @@
+@echo off
+REM Build CPU-only server binary for Windows
+REM This creates a ~500MB binary without CUDA support
+
+echo ============================================================
+echo Building CPU-only server binary
+echo ============================================================
+
+echo.
+echo Step 1: Installing CPU-only PyTorch...
+pip uninstall -y torch torchvision torchaudio
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
+
+echo.
+echo Step 2: Building binary with PyInstaller...
+python build_binary.py cpu
+
+echo.
+echo Step 3: Restoring CUDA PyTorch for development...
+pip uninstall -y torch torchvision torchaudio
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+
+echo.
+echo ============================================================
+echo CPU binary built successfully!
+echo Location: dist\voicebox-server.exe
+echo Size: ~500MB
+echo ============================================================
@@ -0,0 +1,30 @@
+#!/bin/bash
+# Build CPU-only server binary
+# This creates a ~500MB binary without CUDA support
+
+set -e
+
+echo "============================================================"
+echo "Building CPU-only server binary"
+echo "============================================================"
+
+echo ""
+echo "Step 1: Installing CPU-only PyTorch..."
+pip uninstall -y torch torchvision torchaudio || true
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
+
+echo ""
+echo "Step 2: Building binary with PyInstaller..."
+python build_binary.py cpu
+
+echo ""
+echo "Step 3: Restoring CUDA PyTorch for development..."
+pip uninstall -y torch torchvision torchaudio || true
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+
+echo ""
+echo "============================================================"
+echo "CPU binary built successfully!"
+echo "Location: dist/voicebox-server"
+echo "Size: ~500MB"
+echo "============================================================"
@@ -0,0 +1,22 @@
+@echo off
+REM Build CUDA server binary for Windows
+REM This creates a ~3GB binary with CUDA support
+
+echo ============================================================
+echo Building CUDA server binary
+echo ============================================================
+
+echo.
+echo Step 1: Ensuring CUDA PyTorch is installed...
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 --upgrade
+
+echo.
+echo Step 2: Building binary with PyInstaller...
+python build_binary.py cuda
+
+echo.
+echo ============================================================
+echo CUDA binary built successfully!
+echo Location: dist\voicebox-server-cuda.exe
+echo Size: ~3GB
+echo ============================================================
@@ -7,14 +7,14 @@ from datetime import datetime
 import uuid
 from sqlalchemy.orm import Session

-from ..models import (
+from .models import (
    AudioChannelCreate,
    AudioChannelUpdate,
    AudioChannelResponse,
    ChannelVoiceAssignment,
    ProfileChannelAssignment,
 )
-from ..database import (
+from .database import (
    AudioChannel as DBAudioChannel,
    ChannelDeviceMapping as DBChannelDeviceMapping,
    ProfileChannelMapping as DBProfileChannelMapping,
@@ -4,24 +4,11 @@ Configuration module for voicebox backend.
 Handles data directory configuration for production bundling.
 """

-import logging
-import os
 from pathlib import Path

-logger = logging.getLogger(__name__)
-
-# Allow users to override the HuggingFace model download directory.
-# Set VOICEBOX_MODELS_DIR to an absolute path before starting the server.
-# This sets HF_HUB_CACHE so all huggingface_hub downloads go to that path.
-_custom_models_dir = os.environ.get("VOICEBOX_MODELS_DIR")
-if _custom_models_dir:
-    os.environ["HF_HUB_CACHE"] = _custom_models_dir
-    logger.info("Model download path set to: %s", _custom_models_dir)
-
 # Default data directory (used in development)
 _data_dir = Path("data")

-
 def set_data_dir(path: str | Path):
    """
    Set the data directory path.
@@ -32,8 +19,7 @@ def set_data_dir(path: str | Path):
    global _data_dir
    _data_dir = Path(path)
    _data_dir.mkdir(parents=True, exist_ok=True)
-    logger.info("Data directory set to: %s", _data_dir.absolute())
-
+    print(f"Data directory set to: {_data_dir.absolute()}")

 def get_data_dir() -> Path:
    """
@@ -44,33 +30,28 @@ def get_data_dir() -> Path:
    """
    return _data_dir

-
 def get_db_path() -> Path:
    """Get database file path."""
    return _data_dir / "voicebox.db"

-
 def get_profiles_dir() -> Path:
    """Get profiles directory path."""
    path = _data_dir / "profiles"
    path.mkdir(parents=True, exist_ok=True)
    return path

-
 def get_generations_dir() -> Path:
    """Get generations directory path."""
    path = _data_dir / "generations"
    path.mkdir(parents=True, exist_ok=True)
    return path

-
 def get_cache_dir() -> Path:
    """Get cache directory path."""
    path = _data_dir / "cache"
    path.mkdir(parents=True, exist_ok=True)
    return path

-
 def get_models_dir() -> Path:
    """Get models directory path."""
    path = _data_dir / "models"
@@ -0,0 +1,298 @@
+"""
+SQLite database ORM using SQLAlchemy.
+"""
+
+from sqlalchemy import create_engine, Column, String, Integer, Float, DateTime, Text, ForeignKey, Boolean
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.orm import sessionmaker, Session
+from datetime import datetime
+import uuid
+from pathlib import Path
+
+from . import config
+
+Base = declarative_base()
+
+
+class VoiceProfile(Base):
+    """Voice profile database model."""
+    __tablename__ = "profiles"
+
+    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
+    name = Column(String, unique=True, nullable=False)
+    description = Column(Text)
+    language = Column(String, default="en")
+    avatar_path = Column(String, nullable=True)
+    created_at = Column(DateTime, default=datetime.utcnow)
+    updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
+
+
+class ProfileSample(Base):
+    """Voice profile sample database model."""
+    __tablename__ = "profile_samples"
+    
+    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
+    profile_id = Column(String, ForeignKey("profiles.id"), nullable=False)
+    audio_path = Column(String, nullable=False)
+    reference_text = Column(Text, nullable=False)
+
+
+class Generation(Base):
+    """Generation history database model."""
+    __tablename__ = "generations"
+
+    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
+    profile_id = Column(String, ForeignKey("profiles.id"), nullable=False)
+    text = Column(Text, nullable=False)
+    language = Column(String, default="en")
+    audio_path = Column(String, nullable=False)
+    duration = Column(Float, nullable=False)
+    seed = Column(Integer)
+    instruct = Column(Text)
+    created_at = Column(DateTime, default=datetime.utcnow)
+
+
+class Story(Base):
+    """Story database model."""
+    __tablename__ = "stories"
+    
+    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
+    name = Column(String, nullable=False)
+    description = Column(Text)
+    created_at = Column(DateTime, default=datetime.utcnow)
+    updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
+
+
+class StoryItem(Base):
+    """Story item database model (links generations to stories)."""
+    __tablename__ = "story_items"
+    
+    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
+    story_id = Column(String, ForeignKey("stories.id"), nullable=False)
+    generation_id = Column(String, ForeignKey("generations.id"), nullable=False)
+    start_time_ms = Column(Integer, nullable=False, default=0)  # Milliseconds from story start
+    track = Column(Integer, nullable=False, default=0)  # Track number (0 = main track)
+    trim_start_ms = Column(Integer, nullable=False, default=0)  # Milliseconds trimmed from start
+    trim_end_ms = Column(Integer, nullable=False, default=0)  # Milliseconds trimmed from end
+    created_at = Column(DateTime, default=datetime.utcnow)
+
+
+class Project(Base):
+    """Audio studio project database model."""
+    __tablename__ = "projects"
+    
+    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
+    name = Column(String, nullable=False)
+    data = Column(Text)  # JSON string
+    created_at = Column(DateTime, default=datetime.utcnow)
+    updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
+
+
+class AudioChannel(Base):
+    """Audio channel (bus) database model."""
+    __tablename__ = "audio_channels"
+    
+    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
+    name = Column(String, nullable=False)
+    is_default = Column(Boolean, default=False)
+    created_at = Column(DateTime, default=datetime.utcnow)
+
+
+class ChannelDeviceMapping(Base):
+    """Mapping between channels and OS audio devices."""
+    __tablename__ = "channel_device_mappings"
+    
+    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
+    channel_id = Column(String, ForeignKey("audio_channels.id"), nullable=False)
+    device_id = Column(String, nullable=False)  # OS device identifier
+
+
+class ProfileChannelMapping(Base):
+    """Mapping between voice profiles and audio channels (many-to-many)."""
+    __tablename__ = "profile_channel_mappings"
+    
+    profile_id = Column(String, ForeignKey("profiles.id"), primary_key=True)
+    channel_id = Column(String, ForeignKey("audio_channels.id"), primary_key=True)
+
+
+# Database setup will be initialized in init_db()
+engine = None
+SessionLocal = None
+_db_path = None
+
+
+def init_db():
+    """Initialize database tables."""
+    global engine, SessionLocal, _db_path
+
+    _db_path = config.get_db_path()
+    _db_path.parent.mkdir(parents=True, exist_ok=True)
+
+    engine = create_engine(
+        f"sqlite:///{_db_path}",
+        connect_args={"check_same_thread": False},
+    )
+
+    SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
+    
+    # Run migrations before creating tables
+    _run_migrations(engine)
+    
+    Base.metadata.create_all(bind=engine)
+    
+    # Create default channel if it doesn't exist
+    db = SessionLocal()
+    try:
+        default_channel = db.query(AudioChannel).filter(AudioChannel.is_default == True).first()
+        if not default_channel:
+            default_channel = AudioChannel(
+                id=str(uuid.uuid4()),
+                name="Default",
+                is_default=True
+            )
+            db.add(default_channel)
+            
+            # Assign all existing profiles to default channel
+            profiles = db.query(VoiceProfile).all()
+            for profile in profiles:
+                mapping = ProfileChannelMapping(
+                    profile_id=profile.id,
+                    channel_id=default_channel.id
+                )
+                db.add(mapping)
+            
+            db.commit()
+    finally:
+        db.close()
+
+
+def _run_migrations(engine):
+    """Run database migrations."""
+    from sqlalchemy import inspect, text
+    
+    inspector = inspect(engine)
+    
+    # Check if story_items table exists
+    if 'story_items' not in inspector.get_table_names():
+        return  # Table doesn't exist yet, will be created fresh
+    
+    # Get columns in story_items table
+    columns = {col['name'] for col in inspector.get_columns('story_items')}
+    
+    # Migration: Remove position column and ensure start_time_ms exists
+    # SQLite doesn't support DROP COLUMN easily, so we recreate the table
+    if 'position' in columns:
+        print("Migrating story_items: removing position column, using start_time_ms")
+        
+        with engine.connect() as conn:
+            # Check if start_time_ms already exists
+            has_start_time = 'start_time_ms' in columns
+            
+            if not has_start_time:
+                # First, add the new column temporarily
+                conn.execute(text("ALTER TABLE story_items ADD COLUMN start_time_ms INTEGER DEFAULT 0"))
+                
+                # Calculate timecodes from position ordering
+                result = conn.execute(text("""
+                    SELECT si.id, si.story_id, si.position, g.duration
+                    FROM story_items si
+                    JOIN generations g ON si.generation_id = g.id
+                    ORDER BY si.story_id, si.position
+                """))
+                
+                rows = result.fetchall()
+                
+                current_story_id = None
+                current_time_ms = 0
+                
+                for row in rows:
+                    item_id, story_id, position, duration = row
+                    
+                    if story_id != current_story_id:
+                        current_story_id = story_id
+                        current_time_ms = 0
+                    
+                    conn.execute(
+                        text("UPDATE story_items SET start_time_ms = :time WHERE id = :id"),
+                        {"time": current_time_ms, "id": item_id}
+                    )
+                    
+                    current_time_ms += int(duration * 1000) + 200
+                
+                conn.commit()
+            
+            # Now recreate the table without the position column
+            # 1. Create new table
+            conn.execute(text("""
+                CREATE TABLE story_items_new (
+                    id VARCHAR PRIMARY KEY,
+                    story_id VARCHAR NOT NULL,
+                    generation_id VARCHAR NOT NULL,
+                    start_time_ms INTEGER NOT NULL DEFAULT 0,
+                    created_at DATETIME,
+                    FOREIGN KEY (story_id) REFERENCES stories(id),
+                    FOREIGN KEY (generation_id) REFERENCES generations(id)
+                )
+            """))
+            
+            # 2. Copy data
+            conn.execute(text("""
+                INSERT INTO story_items_new (id, story_id, generation_id, start_time_ms, created_at)
+                SELECT id, story_id, generation_id, start_time_ms, created_at FROM story_items
+            """))
+            
+            # 3. Drop old table
+            conn.execute(text("DROP TABLE story_items"))
+            
+            # 4. Rename new table
+            conn.execute(text("ALTER TABLE story_items_new RENAME TO story_items"))
+            
+            conn.commit()
+            print("Migrated story_items table to use start_time_ms (removed position column)")
+    
+    # Migration: Add track column if it doesn't exist
+    # Re-check columns after potential position migration
+    columns = {col['name'] for col in inspector.get_columns('story_items')}
+    if 'track' not in columns:
+        print("Migrating story_items: adding track column")
+        with engine.connect() as conn:
+            conn.execute(text("ALTER TABLE story_items ADD COLUMN track INTEGER NOT NULL DEFAULT 0"))
+            conn.commit()
+            print("Added track column to story_items")
+    
+    # Migration: Add trim columns if they don't exist
+    # Re-check columns after potential track migration
+    columns = {col['name'] for col in inspector.get_columns('story_items')}
+    if 'trim_start_ms' not in columns:
+        print("Migrating story_items: adding trim_start_ms column")
+        with engine.connect() as conn:
+            conn.execute(text("ALTER TABLE story_items ADD COLUMN trim_start_ms INTEGER NOT NULL DEFAULT 0"))
+            conn.commit()
+            print("Added trim_start_ms column to story_items")
+    
+    columns = {col['name'] for col in inspector.get_columns('story_items')}
+    if 'trim_end_ms' not in columns:
+        print("Migrating story_items: adding trim_end_ms column")
+        with engine.connect() as conn:
+            conn.execute(text("ALTER TABLE story_items ADD COLUMN trim_end_ms INTEGER NOT NULL DEFAULT 0"))
+            conn.commit()
+            print("Added trim_end_ms column to story_items")
+
+    # Migration: Add avatar_path to profiles table
+    if 'profiles' in inspector.get_table_names():
+        columns = {col['name'] for col in inspector.get_columns('profiles')}
+        if 'avatar_path' not in columns:
+            print("Migrating profiles: adding avatar_path column")
+            with engine.connect() as conn:
+                conn.execute(text("ALTER TABLE profiles ADD COLUMN avatar_path VARCHAR"))
+                conn.commit()
+                print("Added avatar_path column to profiles")
+
+
+def get_db():
+    """Get database session (generator for dependency injection)."""
+    db = SessionLocal()
+    try:
+        yield db
+    finally:
+        db.close()
@@ -1,44 +0,0 @@
-"""Database package — ORM models, session management, and migrations.
-
-Re-exports all public symbols so that ``from .database import get_db``
-and ``from .database import Generation as DBGeneration`` continue to work
-without changing any importers.
-"""
-
-from .models import (
-    Base,
-    AudioChannel,
-    ChannelDeviceMapping,
-    EffectPreset,
-    Generation,
-    GenerationVersion,
-    ProfileChannelMapping,
-    ProfileSample,
-    Project,
-    Story,
-    StoryItem,
-    VoiceProfile,
-)
-from .session import engine, SessionLocal, _db_path, init_db, get_db
-
-__all__ = [
-    # Models
-    "Base",
-    "AudioChannel",
-    "ChannelDeviceMapping",
-    "EffectPreset",
-    "Generation",
-    "GenerationVersion",
-    "ProfileChannelMapping",
-    "ProfileSample",
-    "Project",
-    "Story",
-    "StoryItem",
-    "VoiceProfile",
-    # Session
-    "engine",
-    "SessionLocal",
-    "_db_path",
-    "init_db",
-    "get_db",
-]
@@ -1,170 +0,0 @@
-"""Column-level migrations for the voicebox SQLite database.
-
-Why not Alembic?  voicebox is a single-user desktop app shipping as a
-PyInstaller binary.  Every user has exactly one SQLite file.  Alembic's
-strengths -- migration tracking across environments, rollback, team
-coordination -- don't apply here and would add bundling complexity
-(alembic.ini, env.py, versions/ directory all need to survive
-PyInstaller).  The column-existence checks below are idempotent, run in
-<50 ms on startup, and have worked reliably across 12 schema changes.
-If the project ever moves to a server-based deployment or Postgres, this
-decision should be revisited.
-
-Adding a new migration:
-    1. Append a new ``_migrate_*`` helper at the bottom of this file.
-    2. Call it from ``run_migrations()`` in the appropriate spot.
-    3. The helper should check column/table existence before acting
-       (idempotent) and print a short message when it does real work.
-"""
-
-import logging
-
-from sqlalchemy import inspect, text
-
-logger = logging.getLogger(__name__)
-
-
-def run_migrations(engine) -> None:
-    """Run all schema migrations.  Safe to call on every startup."""
-    inspector = inspect(engine)
-    tables = set(inspector.get_table_names())
-
-    _migrate_story_items(engine, inspector, tables)
-    _migrate_profiles(engine, inspector, tables)
-    _migrate_generations(engine, inspector, tables)
-    _migrate_effect_presets(engine, inspector, tables)
-    _migrate_generation_versions(engine, inspector, tables)
-
-
-# -- helpers ---------------------------------------------------------------
-
-def _get_columns(inspector, table: str) -> set[str]:
-    return {col["name"] for col in inspector.get_columns(table)}
-
-
-def _add_column(engine, table: str, column_sql: str, label: str) -> None:
-    """Add a column if it doesn't already exist."""
-    with engine.connect() as conn:
-        conn.execute(text(f"ALTER TABLE {table} ADD COLUMN {column_sql}"))
-        conn.commit()
-    logger.info("Added %s column to %s", label, table)
-
-
-# -- per-table migrations --------------------------------------------------
-
-def _migrate_story_items(engine, inspector, tables: set[str]) -> None:
-    if "story_items" not in tables:
-        return
-
-    columns = _get_columns(inspector, "story_items")
-
-    # Replace position-based ordering with absolute timecodes
-    if "position" in columns:
-        logger.info("Migrating story_items: removing position column, using start_time_ms")
-        with engine.connect() as conn:
-            if "start_time_ms" not in columns:
-                conn.execute(text(
-                    "ALTER TABLE story_items ADD COLUMN start_time_ms INTEGER DEFAULT 0"
-                ))
-                result = conn.execute(text("""
-                    SELECT si.id, si.story_id, si.position, g.duration
-                    FROM story_items si
-                    JOIN generations g ON si.generation_id = g.id
-                    ORDER BY si.story_id, si.position
-                """))
-                current_story_id = None
-                current_time_ms = 0
-                for item_id, story_id, _position, duration in result.fetchall():
-                    if story_id != current_story_id:
-                        current_story_id = story_id
-                        current_time_ms = 0
-                    conn.execute(
-                        text("UPDATE story_items SET start_time_ms = :time WHERE id = :id"),
-                        {"time": current_time_ms, "id": item_id},
-                    )
-                    current_time_ms += int((duration or 0) * 1000) + 200
-                conn.commit()
-
-            # Recreate table without the position column (SQLite lacks DROP COLUMN)
-            conn.execute(text("""
-                CREATE TABLE story_items_new (
-                    id VARCHAR PRIMARY KEY,
-                    story_id VARCHAR NOT NULL,
-                    generation_id VARCHAR NOT NULL,
-                    start_time_ms INTEGER NOT NULL DEFAULT 0,
-                    track INTEGER NOT NULL DEFAULT 0,
-                    trim_start_ms INTEGER NOT NULL DEFAULT 0,
-                    trim_end_ms INTEGER NOT NULL DEFAULT 0,
-                    version_id VARCHAR,
-                    created_at DATETIME,
-                    FOREIGN KEY (story_id) REFERENCES stories(id),
-                    FOREIGN KEY (generation_id) REFERENCES generations(id)
-                )
-            """))
-            conn.execute(text("""
-                INSERT INTO story_items_new (id, story_id, generation_id, start_time_ms, track, trim_start_ms, trim_end_ms, version_id, created_at)
-                SELECT id, story_id, generation_id, start_time_ms,
-                    COALESCE(track, 0), COALESCE(trim_start_ms, 0), COALESCE(trim_end_ms, 0), version_id, created_at
-                FROM story_items
-            """))
-            conn.execute(text("DROP TABLE story_items"))
-            conn.execute(text("ALTER TABLE story_items_new RENAME TO story_items"))
-            conn.commit()
-
-        # Re-read after table recreation
-        columns = _get_columns(inspector, "story_items")
-
-    if "track" not in columns:
-        _add_column(engine, "story_items", "track INTEGER NOT NULL DEFAULT 0", "track")
-    # Re-read so subsequent checks see new columns
-    columns = _get_columns(inspector, "story_items")
-    if "trim_start_ms" not in columns:
-        _add_column(engine, "story_items", "trim_start_ms INTEGER NOT NULL DEFAULT 0", "trim_start_ms")
-    if "trim_end_ms" not in columns:
-        _add_column(engine, "story_items", "trim_end_ms INTEGER NOT NULL DEFAULT 0", "trim_end_ms")
-    if "version_id" not in columns:
-        _add_column(engine, "story_items", "version_id VARCHAR", "version_id")
-
-
-def _migrate_profiles(engine, inspector, tables: set[str]) -> None:
-    if "profiles" not in tables:
-        return
-    columns = _get_columns(inspector, "profiles")
-    if "avatar_path" not in columns:
-        _add_column(engine, "profiles", "avatar_path VARCHAR", "avatar_path")
-    if "effects_chain" not in columns:
-        _add_column(engine, "profiles", "effects_chain TEXT", "effects_chain")
-
-
-def _migrate_generations(engine, inspector, tables: set[str]) -> None:
-    if "generations" not in tables:
-        return
-    columns = _get_columns(inspector, "generations")
-    if "status" not in columns:
-        _add_column(engine, "generations", "status VARCHAR DEFAULT 'completed'", "status")
-    if "error" not in columns:
-        _add_column(engine, "generations", "error TEXT", "error")
-    if "engine" not in columns:
-        _add_column(engine, "generations", "engine VARCHAR DEFAULT 'qwen'", "engine")
-    # Re-read after engine column (variable name shadows outer scope in old code)
-    columns = _get_columns(inspector, "generations")
-    if "model_size" not in columns:
-        _add_column(engine, "generations", "model_size VARCHAR", "model_size")
-    if "is_favorited" not in columns:
-        _add_column(engine, "generations", "is_favorited BOOLEAN DEFAULT 0", "is_favorited")
-
-
-def _migrate_effect_presets(engine, inspector, tables: set[str]) -> None:
-    if "effect_presets" not in tables:
-        return
-    columns = _get_columns(inspector, "effect_presets")
-    if "sort_order" not in columns:
-        _add_column(engine, "effect_presets", "sort_order INTEGER DEFAULT 100", "sort_order")
-
-
-def _migrate_generation_versions(engine, inspector, tables: set[str]) -> None:
-    if "generation_versions" not in tables:
-        return
-    columns = _get_columns(inspector, "generation_versions")
-    if "source_version_id" not in columns:
-        _add_column(engine, "generation_versions", "source_version_id VARCHAR", "source_version_id")
@@ -1,155 +0,0 @@
-"""ORM model definitions for the voicebox SQLite database."""
-
-from datetime import datetime
-import uuid
-
-from sqlalchemy import Column, String, Integer, Float, DateTime, Text, ForeignKey, Boolean
-from sqlalchemy.ext.declarative import declarative_base
-
-Base = declarative_base()
-
-
-class VoiceProfile(Base):
-    """Voice profile."""
-
-    __tablename__ = "profiles"
-
-    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
-    name = Column(String, unique=True, nullable=False)
-    description = Column(Text)
-    language = Column(String, default="en")
-    avatar_path = Column(String, nullable=True)
-    effects_chain = Column(Text, nullable=True)
-    created_at = Column(DateTime, default=datetime.utcnow)
-    updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
-
-
-class ProfileSample(Base):
-    """Audio sample attached to a voice profile."""
-
-    __tablename__ = "profile_samples"
-
-    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
-    profile_id = Column(String, ForeignKey("profiles.id"), nullable=False)
-    audio_path = Column(String, nullable=False)
-    reference_text = Column(Text, nullable=False)
-
-
-class Generation(Base):
-    """A single TTS generation."""
-
-    __tablename__ = "generations"
-
-    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
-    profile_id = Column(String, ForeignKey("profiles.id"), nullable=False)
-    text = Column(Text, nullable=False)
-    language = Column(String, default="en")
-    audio_path = Column(String, nullable=True)
-    duration = Column(Float, nullable=True)
-    seed = Column(Integer)
-    instruct = Column(Text)
-    engine = Column(String, default="qwen")
-    model_size = Column(String, nullable=True)
-    status = Column(String, default="completed")
-    error = Column(Text, nullable=True)
-    is_favorited = Column(Boolean, default=False)
-    created_at = Column(DateTime, default=datetime.utcnow)
-
-
-class Story(Base):
-    """A story that sequences multiple generations."""
-
-    __tablename__ = "stories"
-
-    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
-    name = Column(String, nullable=False)
-    description = Column(Text)
-    created_at = Column(DateTime, default=datetime.utcnow)
-    updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
-
-
-class StoryItem(Base):
-    """Links a generation to a story at a specific timecode."""
-
-    __tablename__ = "story_items"
-
-    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
-    story_id = Column(String, ForeignKey("stories.id"), nullable=False)
-    generation_id = Column(String, ForeignKey("generations.id"), nullable=False)
-    version_id = Column(String, ForeignKey("generation_versions.id"), nullable=True)
-    start_time_ms = Column(Integer, nullable=False, default=0)
-    track = Column(Integer, nullable=False, default=0)
-    trim_start_ms = Column(Integer, nullable=False, default=0)
-    trim_end_ms = Column(Integer, nullable=False, default=0)
-    created_at = Column(DateTime, default=datetime.utcnow)
-
-
-class Project(Base):
-    """Audio studio project (JSON blob)."""
-
-    __tablename__ = "projects"
-
-    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
-    name = Column(String, nullable=False)
-    data = Column(Text)
-    created_at = Column(DateTime, default=datetime.utcnow)
-    updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
-
-
-class GenerationVersion(Base):
-    """A version of a generation's audio (original, processed, alternate takes)."""
-
-    __tablename__ = "generation_versions"
-
-    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
-    generation_id = Column(String, ForeignKey("generations.id"), nullable=False)
-    label = Column(String, nullable=False)
-    audio_path = Column(String, nullable=False)
-    effects_chain = Column(Text, nullable=True)
-    source_version_id = Column(String, ForeignKey("generation_versions.id"), nullable=True)
-    is_default = Column(Boolean, default=False)
-    created_at = Column(DateTime, default=datetime.utcnow)
-
-
-class EffectPreset(Base):
-    """Saved effect chain preset."""
-
-    __tablename__ = "effect_presets"
-
-    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
-    name = Column(String, unique=True, nullable=False)
-    description = Column(Text, nullable=True)
-    effects_chain = Column(Text, nullable=False)
-    is_builtin = Column(Boolean, default=False)
-    sort_order = Column(Integer, default=100)
-    created_at = Column(DateTime, default=datetime.utcnow)
-
-
-class AudioChannel(Base):
-    """Audio output channel (bus)."""
-
-    __tablename__ = "audio_channels"
-
-    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
-    name = Column(String, nullable=False)
-    is_default = Column(Boolean, default=False)
-    created_at = Column(DateTime, default=datetime.utcnow)
-
-
-class ChannelDeviceMapping(Base):
-    """Mapping between a channel and an OS audio device."""
-
-    __tablename__ = "channel_device_mappings"
-
-    id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
-    channel_id = Column(String, ForeignKey("audio_channels.id"), nullable=False)
-    device_id = Column(String, nullable=False)
-
-
-class ProfileChannelMapping(Base):
-    """Many-to-many mapping between voice profiles and audio channels."""
-
-    __tablename__ = "profile_channel_mappings"
-
-    profile_id = Column(String, ForeignKey("profiles.id"), primary_key=True)
-    channel_id = Column(String, ForeignKey("audio_channels.id"), primary_key=True)
@@ -1,71 +0,0 @@
-"""Post-migration data seeding and backfills."""
-
-import json
-import logging
-import uuid
-from pathlib import Path
-
-logger = logging.getLogger(__name__)
-
-
-def backfill_generation_versions(SessionLocal, Generation, GenerationVersion) -> None:
-    """Create 'clean' version entries for generations that predate the versions feature."""
-    db = SessionLocal()
-    try:
-        existing_version_gen_ids = {
-            row[0] for row in db.query(GenerationVersion.generation_id).all()
-        }
-        generations = db.query(Generation).filter(
-            Generation.status == "completed",
-            Generation.audio_path.isnot(None),
-            Generation.audio_path != "",
-        ).all()
-
-        count = 0
-        for gen in generations:
-            if gen.id in existing_version_gen_ids:
-                continue
-            if not Path(gen.audio_path).exists():
-                continue
-            version = GenerationVersion(
-                id=str(uuid.uuid4()),
-                generation_id=gen.id,
-                label="clean",
-                audio_path=gen.audio_path,
-                effects_chain=None,
-                is_default=True,
-            )
-            db.add(version)
-            count += 1
-
-        if count > 0:
-            db.commit()
-            logger.info("Backfilled %d generation version entries", count)
-    finally:
-        db.close()
-
-
-def seed_builtin_presets(SessionLocal, EffectPreset) -> None:
-    """Ensure built-in effect presets exist in the database."""
-    from ..utils.effects import BUILTIN_PRESETS
-
-    db = SessionLocal()
-    try:
-        for idx, (_key, preset_data) in enumerate(BUILTIN_PRESETS.items()):
-            sort_order = preset_data.get("sort_order", idx)
-            existing = db.query(EffectPreset).filter_by(name=preset_data["name"]).first()
-            if not existing:
-                preset = EffectPreset(
-                    id=str(uuid.uuid4()),
-                    name=preset_data["name"],
-                    description=preset_data.get("description"),
-                    effects_chain=json.dumps(preset_data["effects_chain"]),
-                    is_builtin=True,
-                    sort_order=sort_order,
-                )
-                db.add(preset)
-            elif existing.sort_order != sort_order:
-                existing.sort_order = sort_order
-        db.commit()
-    finally:
-        db.close()
@@ -1,78 +0,0 @@
-"""Engine creation, initialization, and session management."""
-
-import logging
-import uuid
-
-from sqlalchemy import create_engine
-from sqlalchemy.orm import sessionmaker
-
-from .. import config
-from .models import (
-    Base,
-    AudioChannel,
-    EffectPreset,
-    Generation,
-    GenerationVersion,
-    ProfileChannelMapping,
-    VoiceProfile,
-)
-from .migrations import run_migrations
-from .seed import backfill_generation_versions, seed_builtin_presets
-
-logger = logging.getLogger(__name__)
-
-# Initialized by init_db()
-engine = None
-SessionLocal = None
-_db_path = None
-
-
-def init_db() -> None:
-    """Initialize the database engine, run migrations, create tables, and seed data."""
-    global engine, SessionLocal, _db_path
-
-    _db_path = config.get_db_path()
-    _db_path.parent.mkdir(parents=True, exist_ok=True)
-
-    engine = create_engine(
-        f"sqlite:///{_db_path}",
-        connect_args={"check_same_thread": False},
-    )
-
-    SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
-
-    run_migrations(engine)
-    Base.metadata.create_all(bind=engine)
-
-    # Create default audio channel if it doesn't exist
-    db = SessionLocal()
-    try:
-        default_channel = db.query(AudioChannel).filter(AudioChannel.is_default == True).first()
-        if not default_channel:
-            default_channel = AudioChannel(
-                id=str(uuid.uuid4()),
-                name="Default",
-                is_default=True,
-            )
-            db.add(default_channel)
-
-            for profile in db.query(VoiceProfile).all():
-                db.add(ProfileChannelMapping(
-                    profile_id=profile.id,
-                    channel_id=default_channel.id,
-                ))
-            db.commit()
-    finally:
-        db.close()
-
-    backfill_generation_versions(SessionLocal, Generation, GenerationVersion)
-    seed_builtin_presets(SessionLocal, EffectPreset)
-
-
-def get_db():
-    """Yield a database session (FastAPI dependency)."""
-    db = SessionLocal()
-    try:
-        yield db
-    finally:
-        db.close()
@@ -0,0 +1,221 @@
+"""
+Example usage of the voicebox backend API.
+
+This script demonstrates how to:
+1. Create a voice profile
+2. Add samples to the profile
+3. Generate speech
+4. List history
+"""
+
+import requests
+import time
+from pathlib import Path
+
+# API base URL
+BASE_URL = "http://localhost:8000"
+
+
+def check_health():
+    """Check if the server is running."""
+    response = requests.get(f"{BASE_URL}/health")
+    data = response.json()
+    print(f"Server status: {data['status']}")
+    print(f"Model loaded: {data['model_loaded']}")
+    print(f"GPU available: {data['gpu_available']}")
+    print()
+    return data
+
+
+def create_profile(name: str, description: str = None, language: str = "en"):
+    """Create a new voice profile."""
+    response = requests.post(
+        f"{BASE_URL}/profiles",
+        json={
+            "name": name,
+            "description": description,
+            "language": language,
+        },
+    )
+    response.raise_for_status()
+    profile = response.json()
+    print(f"Created profile: {profile['name']} (ID: {profile['id']})")
+    return profile
+
+
+def add_sample(profile_id: str, audio_file: str, reference_text: str):
+    """Add a sample to a voice profile."""
+    with open(audio_file, "rb") as f:
+        files = {"file": f}
+        data = {"reference_text": reference_text}
+        response = requests.post(
+            f"{BASE_URL}/profiles/{profile_id}/samples",
+            files=files,
+            data=data,
+        )
+    response.raise_for_status()
+    sample = response.json()
+    print(f"Added sample: {sample['id']}")
+    return sample
+
+
+def generate_speech(profile_id: str, text: str, language: str = "en", seed: int = None):
+    """Generate speech using a voice profile."""
+    print(f"Generating speech: '{text[:50]}...'")
+    start_time = time.time()
+    
+    response = requests.post(
+        f"{BASE_URL}/generate",
+        json={
+            "profile_id": profile_id,
+            "text": text,
+            "language": language,
+            "seed": seed,
+        },
+    )
+    response.raise_for_status()
+    generation = response.json()
+    
+    elapsed = time.time() - start_time
+    print(f"Generated in {elapsed:.2f}s (duration: {generation['duration']:.2f}s)")
+    print(f"Generation ID: {generation['id']}")
+    return generation
+
+
+def download_audio(generation_id: str, output_file: str):
+    """Download generated audio."""
+    response = requests.get(f"{BASE_URL}/audio/{generation_id}")
+    response.raise_for_status()
+    
+    with open(output_file, "wb") as f:
+        f.write(response.content)
+    
+    print(f"Saved audio to: {output_file}")
+
+
+def list_profiles():
+    """List all voice profiles."""
+    response = requests.get(f"{BASE_URL}/profiles")
+    response.raise_for_status()
+    profiles = response.json()
+    
+    print(f"Found {len(profiles)} profiles:")
+    for profile in profiles:
+        print(f"  - {profile['name']} (ID: {profile['id']})")
+    
+    return profiles
+
+
+def list_history(profile_id: str = None, limit: int = 10):
+    """List generation history."""
+    params = {"limit": limit}
+    if profile_id:
+        params["profile_id"] = profile_id
+    
+    response = requests.get(f"{BASE_URL}/history", params=params)
+    response.raise_for_status()
+    history = response.json()
+    
+    print(f"Found {len(history)} generations:")
+    for gen in history:
+        print(f"  - {gen['text'][:50]}... ({gen['duration']:.2f}s)")
+    
+    return history
+
+
+def transcribe_audio(audio_file: str, language: str = None):
+    """Transcribe audio file."""
+    print(f"Transcribing: {audio_file}")
+    
+    with open(audio_file, "rb") as f:
+        files = {"file": f}
+        data = {}
+        if language:
+            data["language"] = language
+        
+        response = requests.post(
+            f"{BASE_URL}/transcribe",
+            files=files,
+            data=data,
+        )
+    
+    response.raise_for_status()
+    result = response.json()
+    
+    print(f"Transcription: {result['text']}")
+    print(f"Duration: {result['duration']:.2f}s")
+    return result
+
+
+def main():
+    """Run example workflow."""
+    print("=" * 60)
+    print("voicebox Backend API Example")
+    print("=" * 60)
+    print()
+    
+    # 1. Check health
+    print("1. Checking server health...")
+    check_health()
+    
+    # 2. Create a profile
+    print("2. Creating voice profile...")
+    profile = create_profile(
+        name="Example Voice",
+        description="A test voice profile",
+        language="en",
+    )
+    profile_id = profile["id"]
+    print()
+    
+    # 3. Add samples (you'll need actual audio files)
+    print("3. Adding samples...")
+    print("   (Skipping - add your own audio files here)")
+    # Uncomment and add your audio file:
+    # sample = add_sample(
+    #     profile_id,
+    #     "path/to/your/sample.wav",
+    #     "This is the transcript of the audio",
+    # )
+    print()
+    
+    # 4. Generate speech (requires samples to be added first)
+    print("4. Generating speech...")
+    print("   (Skipping - add samples first)")
+    # Uncomment after adding samples:
+    # generation = generate_speech(
+    #     profile_id,
+    #     "Hello, this is a test of the voice cloning system.",
+    #     language="en",
+    #     seed=42,
+    # )
+    # 
+    # # 5. Download audio
+    # print("\n5. Downloading audio...")
+    # download_audio(generation["id"], "output.wav")
+    print()
+    
+    # 6. List profiles
+    print("6. Listing all profiles...")
+    list_profiles()
+    print()
+    
+    # 7. List history
+    print("7. Listing generation history...")
+    list_history(limit=5)
+    print()
+    
+    # 8. Transcribe audio (you'll need an audio file)
+    print("8. Transcribing audio...")
+    print("   (Skipping - add your own audio file here)")
+    # Uncomment and add your audio file:
+    # transcribe_audio("path/to/audio.wav", language="en")
+    print()
+    
+    print("=" * 60)
+    print("Example complete!")
+    print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()
@@ -12,11 +12,16 @@ from pathlib import Path
 from typing import Optional
 from sqlalchemy.orm import Session

-from ..models import VoiceProfileResponse
-from ..database import VoiceProfile as DBVoiceProfile, ProfileSample as DBProfileSample, Generation as DBGeneration, GenerationVersion as DBGenerationVersion
+from .models import VoiceProfileResponse
+from .database import VoiceProfile as DBVoiceProfile, ProfileSample as DBProfileSample, Generation as DBGeneration
 from .profiles import create_profile, add_profile_sample
-from ..models import VoiceProfileCreate
-from .. import config
+from .models import VoiceProfileCreate
+from . import config
+
+
+def _get_profiles_dir() -> Path:
+    """Get profiles directory from config."""
+    return config.get_profiles_dir()


 def _get_unique_profile_name(name: str, db: Session) -> str:
@@ -94,7 +99,7 @@ def export_profile_to_zip(profile_id: str, db: Session) -> bytes:

        # Create samples.json mapping
        samples_data = {}
-        profile_dir = config.get_profiles_dir() / profile_id
+        profile_dir = _get_profiles_dir() / profile_id

        for sample in samples:
            # Get filename from audio_path (should be {sample_id}.wav)
@@ -176,7 +181,7 @@ async def import_profile_from_zip(file_bytes: bytes, db: Session) -> VoiceProfil
            profile = await create_profile(profile_create, db)

            # Extract and add samples
-            profile_dir = config.get_profiles_dir() / profile.id
+            profile_dir = _get_profiles_dir() / profile.id
            profile_dir.mkdir(parents=True, exist_ok=True)

            # Handle avatar if present
@@ -264,33 +269,16 @@ def export_generation_to_zip(generation_id: str, db: Session) -> bytes:
    if not profile:
        raise ValueError(f"Profile {generation.profile_id} not found")
    
-    # Get all versions for this generation
-    versions = (
-        db.query(DBGenerationVersion)
-        .filter_by(generation_id=generation_id)
-        .order_by(DBGenerationVersion.created_at)
-        .all()
-    )
-
+    # Get audio file
+    audio_path = Path(generation.audio_path)
+    if not audio_path.exists():
+        raise ValueError(f"Audio file not found: {audio_path}")
+    
    # Create ZIP in memory
    zip_buffer = io.BytesIO()
    
    with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zip_file:
-        # Build version manifest entries
-        version_entries = []
-        for v in versions:
-            v_path = Path(v.audio_path)
-            effects_chain = None
-            if v.effects_chain:
-                effects_chain = json.loads(v.effects_chain)
-            version_entries.append({
-                "id": v.id,
-                "label": v.label,
-                "is_default": v.is_default,
-                "effects_chain": effects_chain,
-                "filename": v_path.name,
-            })
-
+        # Create manifest.json
        manifest = {
            "version": "1.0",
            "generation": {
@@ -307,22 +295,13 @@ def export_generation_to_zip(generation_id: str, db: Session) -> bytes:
                "name": profile.name,
                "description": profile.description,
                "language": profile.language,
-            },
-            "versions": version_entries,
+            }
        }
        zip_file.writestr("manifest.json", json.dumps(manifest, indent=2))
        
-        # Add all version audio files
-        for v in versions:
-            v_path = Path(v.audio_path)
-            if v_path.exists():
-                zip_file.write(v_path, f"audio/{v_path.name}")
-
-        # Fallback: if no versions exist, include the generation's main audio
-        if not versions:
-            audio_path = Path(generation.audio_path)
-            if audio_path.exists():
-                zip_file.write(audio_path, f"audio/{audio_path.name}")
+        # Add audio file
+        filename = audio_path.name
+        zip_file.write(audio_path, f"audio/{filename}")
    
    zip_buffer.seek(0)
    return zip_buffer.read()
@@ -346,7 +325,7 @@ async def import_generation_from_zip(file_bytes: bytes, db: Session) -> dict:
    import tempfile
    import shutil
    from datetime import datetime
-    from .. import config
+    from . import config
    
    zip_buffer = io.BytesIO(file_bytes)
    
@@ -10,46 +10,14 @@ from pathlib import Path
 from sqlalchemy.orm import Session
 from sqlalchemy import or_

-from ..models import GenerationRequest, GenerationResponse, HistoryQuery, HistoryResponse, HistoryListResponse, GenerationVersionResponse, EffectConfig
-from ..database import Generation as DBGeneration, GenerationVersion as DBGenerationVersion, VoiceProfile as DBVoiceProfile
-from .. import config
+from .models import GenerationRequest, GenerationResponse, HistoryQuery, HistoryResponse, HistoryListResponse
+from .database import Generation as DBGeneration, VoiceProfile as DBVoiceProfile
+from . import config


-def _get_versions_for_generation(generation_id: str, db: Session) -> tuple:
-    """Get versions list and active version ID for a generation."""
-    import json
-    versions_rows = (
-        db.query(DBGenerationVersion)
-        .filter_by(generation_id=generation_id)
-        .order_by(DBGenerationVersion.created_at)
-        .all()
-    )
-    if not versions_rows:
-        return None, None
-
-    versions = []
-    active_version_id = None
-    for v in versions_rows:
-        effects_chain = None
-        if v.effects_chain:
-            try:
-                raw = json.loads(v.effects_chain)
-                effects_chain = [EffectConfig(**e) for e in raw]
-            except Exception:
-                pass
-        versions.append(GenerationVersionResponse(
-            id=v.id,
-            generation_id=v.generation_id,
-            label=v.label,
-            audio_path=v.audio_path,
-            effects_chain=effects_chain,
-            is_default=v.is_default,
-            created_at=v.created_at,
-        ))
-        if v.is_default:
-            active_version_id = v.id
-
-    return versions, active_version_id
+def _get_generations_dir() -> Path:
+    """Get generations directory from config."""
+    return config.get_generations_dir()


 async def create_generation(
@@ -61,10 +29,6 @@ async def create_generation(
    seed: Optional[int],
    db: Session,
    instruct: Optional[str] = None,
-    generation_id: Optional[str] = None,
-    status: str = "completed",
-    engine: Optional[str] = "qwen",
-    model_size: Optional[str] = None,
 ) -> GenerationResponse:
    """
    Create a new generation history entry.
@@ -78,16 +42,12 @@ async def create_generation(
        seed: Random seed used (if any)
        db: Database session
        instruct: Natural language instruction used (if any)
-        generation_id: Pre-assigned ID (for async generation flow)
-        status: Generation status (generating, completed, failed)
-        engine: TTS engine used (qwen, luxtts, chatterbox, chatterbox_turbo)
-        model_size: Model size variant (1.7B, 0.6B) — only relevant for qwen

    Returns:
        Created generation entry
    """
    db_generation = DBGeneration(
-        id=generation_id or str(uuid.uuid4()),
+        id=str(uuid.uuid4()),
        profile_id=profile_id,
        text=text,
        language=language,
@@ -95,9 +55,6 @@ async def create_generation(
        duration=duration,
        seed=seed,
        instruct=instruct,
-        engine=engine,
-        model_size=model_size,
-        status=status,
        created_at=datetime.utcnow(),
    )

@@ -108,32 +65,6 @@ async def create_generation(
    return GenerationResponse.model_validate(db_generation)


-async def update_generation_status(
-    generation_id: str,
-    status: str,
-    db: Session,
-    audio_path: Optional[str] = None,
-    duration: Optional[float] = None,
-    error: Optional[str] = None,
-) -> Optional[GenerationResponse]:
-    """Update the status of a generation (used by async generation flow)."""
-    generation = db.query(DBGeneration).filter_by(id=generation_id).first()
-    if not generation:
-        return None
-
-    generation.status = status
-    if audio_path is not None:
-        generation.audio_path = audio_path
-    if duration is not None:
-        generation.duration = duration
-    if error is not None:
-        generation.error = error
-
-    db.commit()
-    db.refresh(generation)
-    return GenerationResponse.model_validate(generation)
-
-
 async def get_generation(
    generation_id: str,
    db: Session,
@@ -202,7 +133,6 @@ async def list_generations(
    # Convert to HistoryResponse with profile_name
    items = []
    for generation, profile_name in results:
-        versions, active_version_id = _get_versions_for_generation(generation.id, db)
        items.append(HistoryResponse(
            id=generation.id,
            profile_id=generation.profile_id,
@@ -213,14 +143,7 @@ async def list_generations(
            duration=generation.duration,
            seed=generation.seed,
            instruct=generation.instruct,
-            engine=generation.engine or "qwen",
-            model_size=generation.model_size,
-            status=generation.status or "completed",
-            error=generation.error,
-            is_favorited=bool(generation.is_favorited),
            created_at=generation.created_at,
-            versions=versions,
-            active_version_id=active_version_id,
        ))
    
    return HistoryListResponse(
@@ -246,17 +169,12 @@ async def delete_generation(
    generation = db.query(DBGeneration).filter_by(id=generation_id).first()
    if not generation:
        return False
-
-    # Delete all version files and records
-    from . import versions as versions_mod
-    versions_mod.delete_versions_for_generation(generation_id, db)
-
-    # Delete main audio file (if not already removed by version cleanup)
-    if generation.audio_path:
-        audio_path = Path(generation.audio_path)
-        if audio_path.exists():
-            audio_path.unlink()
-
+    
+    # Delete audio file
+    audio_path = Path(generation.audio_path)
+    if audio_path.exists():
+        audio_path.unlink()
+    
    # Delete from database
    db.delete(generation)
    db.commit()
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Jamie Pine	83906c6c4b	Fix R2 bucket name: voicebox (not voicebox-releases)	2026-01-31 00:47:18 -08:00
Jamie Pine	65f132e9c2	Integrate Cloudflare R2 for CUDA binary hosting - Update CI workflow to upload CUDA binary to R2 instead of GitHub - Use custom domain: downloads.voicebox.sh - Update release notes with R2 download link - Add R2 setup documentation with GitHub secrets instructions - Add local test script for R2 uploads - Fixes GitHub 2GB release asset limit issue Required GitHub secrets: - R2_ACCESS_KEY_ID - R2_SECRET_ACCESS_KEY - R2_ENDPOINT Cost: ~$0.04/month (free bandwidth with R2)	2026-01-31 00:46:50 -08:00
Jamie Pine	c211e52382	Add comprehensive CUDA distribution problem analysis - Documents entire problem from 3GB installer to GitHub 2GB limit - Analyzes compression test failure (1% reduction) - Compares 7 different hosting options - Cost analysis for each approach - Recommends Cloudflare R2 (free egress, ~/usr/bin/bash.04/month) - Technical implementation details for all options - Complete research document for decision making	2026-01-31 00:40:52 -08:00
Jamie Pine	7c093130c6	Fix unicode encoding in compression test script	2026-01-31 00:36:03 -08:00
Jamie Pine	8ffd5bc008	Add CUDA binary compression test script GitHub has a 2GB limit on release assets, but the CUDA binary is ~2.5GB. Added compression test script to check if 7z can get it under the limit. If not, we'll need external hosting (S3/Azure).	2026-01-30 23:37:29 -08:00
Jamie PineandClaude Sonnet 4.5	2542f64e1b	Implement dual server binary system (CPU/CUDA) Problem: The server binary with CUDA support was 2.9GB, causing: - MSI installer failures in CI (WiX can't handle 3GB files) - Massive downloads for all users (even those without GPUs) - Poor user experience Solution: Build two separate server binaries: - voicebox-server.exe (CPU-only, ~295MB) - ships with installer - voicebox-server-cuda.exe (CUDA, ~2.9GB) - optional download Changes: - backend/build_binary.py: Added 'variant' parameter for CPU/CUDA builds - backend/build_cpu.bat: Script to build CPU-only binary - backend/build_cuda.bat: Script to build CUDA binary - backend/build_both.bat: Script to build both binaries - backend/build_cpu.sh: Unix build script for CPU binary - .github/workflows/release.yml: Build both variants, upload CUDA separately - tauri/vite.config.ts: Externalize Tauri plugins to fix build - docs/dual-server-binaries.md: Complete documentation Results: - Installer size reduced from 3GB to ~500MB (6x smaller) - CI builds now succeed (WiX can handle 500MB) - GPU users can opt-in to download CUDA support - Better bandwidth usage for CPU-only users Next steps: - Frontend implementation to detect GPU and download CUDA binary - Settings UI to toggle between CPU/CUDA modes Co-Authored-By: Claude Sonnet 4.5 (1M context) <[email protected]>	2026-01-30 22:51:43 -08:00