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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
176 changed files with 4085 additions and 20186 deletions
+1 -1
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@@ -1,5 +1,5 @@
[bumpversion]
current_version = 0.2.4
current_version = 0.1.12
commit = True
tag = True
tag_name = v{new_version}
-46
View File
@@ -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
-63
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@@ -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
+84 -89
View File
@@ -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"
+4 -1
View File
@@ -35,7 +35,10 @@ target/
Thumbs.db
# Data (user-generated)
data/
data/profiles/*
data/generations/*
data/projects/*
data/voicebox.db
!data/.gitkeep
# Logs
-12
View File
@@ -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
@@ -61,10 +53,6 @@ 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
- **Makefile** - Comprehensive development workflow automation with commands for setup, development, building, testing, and code quality checks
- Includes Python version detection and compatibility warnings
+88 -46
View File
@@ -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?
-79
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@@ -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"]
+1 -6
View File
@@ -48,7 +48,6 @@ setup-python: $(VENV)/bin/activate ## Set up Python virtual environment and depe
@echo -e "$(BLUE)Installing Python dependencies...$(NC)"
$(PIP) install --upgrade pip
$(PIP) install -r $(BACKEND_DIR)/requirements.txt
$(PIP) install --no-deps chatterbox-tts
@if [ "$$(uname -m)" = "arm64" ] && [ "$$(uname)" = "Darwin" ]; then \
echo -e "$(BLUE)Detected Apple Silicon - installing MLX dependencies...$(NC)"; \
$(PIP) install -r $(BACKEND_DIR)/requirements-mlx.txt; \
@@ -80,11 +79,7 @@ dev: ## Start backend + desktop app (parallel)
@echo -e "$(YELLOW)Note: If Tauri fails, run 'make build-server' first or use separate terminals$(NC)"
@trap 'kill 0' EXIT; \
$(MAKE) dev-backend & \
sleep 2 && if [ "$$(uname)" = "Linux" ] && lspci 2>/dev/null | grep -qi nvidia; then \
WEBKIT_DISABLE_DMABUF_RENDERER=1 $(MAKE) dev-frontend; \
else \
$(MAKE) dev-frontend; \
fi & \
sleep 2 && $(MAKE) dev-frontend & \
wait
dev-backend: ## Start FastAPI backend server
-58
View File
@@ -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: `make build`
2. Disconnect from internet
3. Try generating speech
4. Should work without network requests
## Build Instructions
```bash
# Install dependencies
pip install -r requirements.txt
# Build the app
make build
# Or build just the server
make 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*
+41 -34
View File
@@ -59,7 +59,7 @@
## What is Voicebox?
Voicebox is a **local-first voice cloning studio** with DAW-like features for professional voice synthesis. Think of it as a **local, free and open-source alternative to ElevenLabs** — download models, clone voices, and generate speech entirely on your machine.
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:
@@ -80,12 +80,12 @@ Voicebox is available now for macOS and Windows.
| Platform | Download |
|----------|----------|
| macOS (Apple Silicon) | [Voicebox_aarch64.app.tar.gz](https://github.com/jamiepine/voicebox/releases/latest/download/Voicebox_aarch64.app.tar.gz) |
| macOS (Intel) | [Voicebox_x64.app.tar.gz](https://github.com/jamiepine/voicebox/releases/latest/download/Voicebox_x64.app.tar.gz) |
| Windows (MSI) | [Latest Windows MSI](https://github.com/jamiepine/voicebox/releases/latest) |
| Windows (Setup) | [Latest Windows Setup](https://github.com/jamiepine/voicebox/releases/latest) |
| 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) |
> **Linux** — Pre-built binaries are not yet available. Linux users can compile from source, see [Development](#development) below.
> **Linux builds coming soon** — Currently blocked by GitHub runner disk space limitations.
---
@@ -98,12 +98,12 @@ Powered by Alibaba's **Qwen3-TTS** — a breakthrough model that achieves near-p
- **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
- **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
- **Import/Export** profiles to share or backup
- **Multi-sample support** — combine multiple samples for higher quality cloning
- **Organize** with descriptions and language tags
@@ -147,20 +147,17 @@ Create multi-voice narratives, podcasts, and conversations with a timeline-based
Voicebox exposes a full REST API, so you can integrate voice synthesis into your own apps.
For the current local app and development workflow, the backend is typically available at `http://localhost:17493`.
If you launch the backend manually with a different host or port, use that address instead.
```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"}'
```
@@ -173,7 +170,7 @@ curl -X POST http://localhost:17493/profiles \
- Voice assistants
- Content creation automation
Full API documentation is available at `http://localhost:17493/docs` in the default local workflow, or at `/docs` on whatever server address you configured.
Full API documentation available at `http://localhost:8000/docs` when running.
---
@@ -228,36 +225,46 @@ Voicebox aims to be the **one-stop shop for everything voice** — cloning, synt
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.
### Platform Notes
| Platform | GPU Backend | Notes |
|----------|-------------|-------|
| macOS (Apple Silicon) | MLX (Metal) | 4-5x faster inference via Neural Engine |
| Windows (NVIDIA) | PyTorch (CUDA) | `just setup` auto-installs CUDA PyTorch |
| Windows/Linux (no NVIDIA) | PyTorch (CPU) | Works but slower |
### 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
```
`just build-local` produces a production-ready installer with the CUDA binary pre-placed for GPU switching.
**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 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@voicebox/app",
"version": "0.2.4",
"version": "0.1.12",
"private": true,
"type": "module",
"scripts": {
+2 -4
View File
@@ -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
+140 -71
View File
@@ -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>
+9 -13
View File
@@ -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>
);
}
@@ -1,8 +1,7 @@
import { useMatchRoute } from '@tanstack/react-router';
import { AnimatePresence, motion } from 'framer-motion';
import { Loader2, SlidersHorizontal, Sparkles } from 'lucide-react';
import { Loader2, MessageSquare, Sparkles } from 'lucide-react';
import { useEffect, useRef, useState } from 'react';
import { EffectsChainEditor } from '@/components/Effects/EffectsChainEditor';
import { Button } from '@/components/ui/button';
import { Form, FormControl, FormField, FormItem, FormMessage } from '@/components/ui/form';
import {
@@ -13,16 +12,14 @@ import {
SelectValue,
} from '@/components/ui/select';
import { Textarea } from '@/components/ui/textarea';
import type { EffectConfig } from '@/lib/api/types';
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 { ParalinguisticInput } from './ParalinguisticInput';
interface FloatingGenerateBoxProps {
isPlayerOpen?: boolean;
@@ -39,7 +36,6 @@ export function FloatingGenerateBox({
const { data: profiles } = useProfiles();
const [isExpanded, setIsExpanded] = useState(false);
const [isInstructMode, setIsInstructMode] = useState(false);
const [effectsChain, setEffectsChain] = useState<EffectConfig[]>([]);
const containerRef = useRef<HTMLDivElement>(null);
const textareaRef = useRef<HTMLTextAreaElement | null>(null);
const matchRoute = useMatchRoute();
@@ -47,7 +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);
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;
@@ -55,12 +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: () => (effectsChain.length > 0 ? effectsChain : undefined),
});
// Click away handler to collapse the box
@@ -100,13 +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) {
@@ -169,7 +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
@@ -182,7 +187,7 @@ 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}>
@@ -207,57 +212,34 @@ export function FloatingGenerateBox({
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 "${currentStory.name}"... (type / for effects)`
: selectedProfile
? `Type / for effects like [laugh], [sigh]...`
: 'Select a voice profile above...'
<Textarea
{...field}
ref={(node: HTMLTextAreaElement | null) => {
// Store ref for auto-resize (only for active field)
if (!isInstructMode) {
textareaRef.current = node;
}
className="px-3 py-2 resize-none bg-transparent border-none focus-visible:ring-0 focus-visible:ring-offset-0 focus:outline-none focus:ring-0 outline-none ring-0 rounded-2xl text-sm w-full"
style={{
minHeight: isExpanded ? '100px' : '32px',
maxHeight: '300px',
overflowY: 'auto',
}}
disabled={!selectedProfileId}
onClick={() => setIsExpanded(true)}
onFocus={() => setIsExpanded(true)}
/>
) : (
<Textarea
{...field}
ref={(node: HTMLTextAreaElement | null) => {
// Store ref for auto-resize (only for active field)
if (!isInstructMode) {
textareaRef.current = node;
}
// Forward ref to react-hook-form
if (typeof field.ref === 'function') {
field.ref(node);
}
}}
placeholder={
isStoriesRoute && currentStory
? `Generate speech for "${currentStory.name}"...`
: selectedProfile
? `Generate speech using ${selectedProfile.name}...`
: 'Select a voice profile above...'
// Forward ref to react-hook-form
if (typeof field.ref === 'function') {
field.ref(node);
}
className="resize-none bg-transparent border-none focus-visible:ring-0 focus-visible:ring-offset-0 focus:outline-none focus:ring-0 outline-none ring-0 rounded-2xl text-sm placeholder:text-muted-foreground/60 w-full"
style={{
minHeight: isExpanded ? '100px' : '32px',
maxHeight: '300px',
}}
disabled={!selectedProfileId}
onClick={() => setIsExpanded(true)}
onFocus={() => setIsExpanded(true)}
/>
)}
}}
placeholder={
isStoriesRoute && currentStory
? `Generate speech for "${currentStory.name}"...`
: selectedProfile
? `Generate speech using ${selectedProfile.name}...`
: 'Select a voice profile above...'
}
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" />
@@ -292,7 +274,7 @@ export function FloatingGenerateBox({
field.ref(node);
}
}}
placeholder="e.g. very happy and excited"
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',
@@ -312,36 +294,20 @@ export function FloatingGenerateBox({
</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 && form.watch('engine') === 'qwen' && (
{isExpanded && (
<motion.div
initial={{ opacity: 0, scale: 0.8 }}
animate={{ opacity: 1, scale: 1 }}
@@ -349,53 +315,26 @@ export function FloatingGenerateBox({
transition={{ duration: 0.2 }}
className="absolute top-0 right-[calc(100%+0.5rem)]"
>
<div className="group relative">
<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'
: effectsChain.length > 0
? 'bg-accent/50 text-accent-foreground border border-accent/50 hover:bg-accent/70'
: 'bg-card border border-border hover:bg-background/50',
)}
aria-label={
isInstructMode ? 'Fine tune instructions, on' : 'Fine tune instructions'
}
>
<SlidersHorizontal 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]">
Fine tune instructions & effects
</span>
</div>
<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>
{/* Effects chain editor panel - shown alongside instruct */}
<AnimatePresence>
{isExpanded && isInstructMode && (
<motion.div
initial={{ height: 0, opacity: 0 }}
animate={{ height: 'auto', opacity: 1 }}
exit={{ height: 0, opacity: 0 }}
transition={{ duration: 0.2 }}
className="overflow-hidden mt-2"
>
<div className="border-t border-border/50 pt-2 pb-1">
<EffectsChainEditor value={effectsChain} onChange={setEffectsChain} compact />
</div>
</motion.div>
)}
</AnimatePresence>
<AnimatePresence>
<motion.div
initial={{ height: 0, opacity: 0 }}
@@ -428,86 +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">
<Select
value={
form.watch('engine') === 'luxtts'
? 'luxtts'
: form.watch('engine') === 'chatterbox'
? 'chatterbox'
: form.watch('engine') === 'chatterbox_turbo'
? 'chatterbox_turbo'
: `qwen:${form.watch('modelSize') || '1.7B'}`
}
onValueChange={(value) => {
if (value === 'luxtts') {
form.setValue('engine', 'luxtts');
form.setValue('language', 'en');
} else if (value === 'chatterbox') {
form.setValue('engine', 'chatterbox');
} else if (value === 'chatterbox_turbo') {
form.setValue('engine', 'chatterbox_turbo');
form.setValue('language', 'en');
} else {
const [, modelSize] = value.split(':');
form.setValue('engine', 'qwen');
form.setValue('modelSize', modelSize as '1.7B' | '0.6B');
}
}}
>
<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="qwen:1.7B" className="text-xs text-muted-foreground">
Qwen3-TTS 1.7B
</SelectItem>
<SelectItem value="qwen:0.6B" className="text-xs text-muted-foreground">
Qwen3-TTS 0.6B
</SelectItem>
<SelectItem value="luxtts" className="text-xs text-muted-foreground">
LuxTTS
</SelectItem>
<SelectItem value="chatterbox" className="text-xs text-muted-foreground">
Chatterbox
</SelectItem>
<SelectItem
value="chatterbox_turbo"
className="text-xs text-muted-foreground"
>
Chatterbox Turbo
</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>
+68 -112
View File
@@ -19,11 +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 { ParalinguisticInput } from './ParalinguisticInput';
export function GenerationForm() {
const selectedProfileId = useUIStore((state) => state.selectedProfileId);
@@ -65,134 +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>
<Select
value={
form.watch('engine') === 'luxtts'
? 'luxtts'
: form.watch('engine') === 'chatterbox'
? 'chatterbox'
: form.watch('engine') === 'chatterbox_turbo'
? 'chatterbox_turbo'
: `qwen:${form.watch('modelSize') || '1.7B'}`
}
onValueChange={(value) => {
if (value === 'luxtts') {
form.setValue('engine', 'luxtts');
form.setValue('language', 'en');
} else if (value === 'chatterbox') {
form.setValue('engine', 'chatterbox');
} else if (value === 'chatterbox_turbo') {
form.setValue('engine', 'chatterbox_turbo');
form.setValue('language', 'en');
} else {
const [, modelSize] = value.split(':');
form.setValue('engine', 'qwen');
form.setValue('modelSize', modelSize as '1.7B' | '0.6B');
}
}}
>
<FormControl>
<SelectTrigger>
<SelectValue />
</SelectTrigger>
</FormControl>
<SelectContent>
<SelectItem value="qwen:1.7B">Qwen3-TTS 1.7B</SelectItem>
<SelectItem value="qwen:0.6B">Qwen3-TTS 0.6B</SelectItem>
<SelectItem value="luxtts">LuxTTS</SelectItem>
<SelectItem value="chatterbox">Chatterbox</SelectItem>
<SelectItem value="chatterbox_turbo">Chatterbox Turbo</SelectItem>
</SelectContent>
</Select>
<FormDescription>
{form.watch('engine') === 'luxtts'
? 'Fast, English-focused'
: form.watch('engine') === 'chatterbox'
? '23 languages, incl. Hebrew'
: form.watch('engine') === 'chatterbox_turbo'
? 'English, [laugh] [cough] tags'
: 'Multi-language, two sizes'}
</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
@@ -218,7 +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>
);
},
);
+86 -447
View File
@@ -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, {
@@ -394,266 +250,101 @@ export function HistoryTable() {
>
{history.map((gen) => {
const isCurrentlyPlaying = currentAudioId === gen.id && isPlaying;
const isGenerating = gen.status === 'generating';
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">
{isGenerating ? (
<span className="text-accent">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>
);
})}
@@ -680,8 +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>
@@ -735,57 +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>
);
}
+7 -7
View File
@@ -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 />
+1 -1
View File
@@ -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>
);
}
File diff suppressed because it is too large Load Diff
@@ -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>
+4 -12
View File
@@ -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
+29 -41
View File
@@ -1,9 +1,9 @@
import { Link, useMatchRoute } from '@tanstack/react-router';
import { AudioLines, Box, Mic, Server, Speaker, Volume2, Wand2 } from 'lucide-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 { useGenerationStore } from '@/stores/generationStore';
import { usePlayerStore } from '@/stores/playerStore';
import { version } from '../../package.json';
interface SidebarProps {
isMacOS?: boolean;
@@ -11,17 +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);
return (
<div
@@ -32,64 +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 text-[10px] text-muted-foreground/50 transition-all duration-300"
style={{ paddingBottom: isPlayerOpen ? '7rem' : undefined }}
>
v{version}
</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 -4
View File
@@ -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>
);
+6 -33
View File
@@ -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) => (
+67 -97
View File
@@ -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}
+6 -5
View File
@@ -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>
);
}
+116 -144
View File
@@ -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 -1
View File
@@ -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 {
+3 -5
View File
@@ -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';
+1 -1
View File
@@ -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}
+5 -6
View File
@@ -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}
/>
),
-16
View File
@@ -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;
}
+39 -241
View File
@@ -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();
+3 -139
View File
@@ -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: '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;
}
+12 -72
View File
@@ -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 -5
View File
@@ -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
+15 -21
View File
@@ -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);
}
+19 -51
View File
@@ -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);
}
-154
View File
@@ -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: '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,
]);
}
+5 -4
View File
@@ -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();
}
}
}
+12 -12
View File
@@ -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
+8 -61
View File
@@ -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, [
+11 -23
View File
@@ -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;
+18 -36
View File
@@ -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;
});
}
/**
+1 -16
View File
@@ -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;
+1 -4
View File
@@ -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;
-14
View File
@@ -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,
]);
-26
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@@ -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 }) }),
}));
+4 -47
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@@ -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 }),
}));
-30
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@@ -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',
-7
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@@ -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 }),
+9 -12
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@@ -334,21 +334,18 @@ python -m backend.main --host 0.0.0.0 --port 8000
## Usage Examples
The desktop app, web client, and current development workflow use `http://localhost:17493` by default.
If you launch the backend manually with a different host or port, substitute that address in the examples below.
### Creating a Voice Profile
```bash
# 1. Create 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"}'
# Response: {"id": "abc-123", ...}
# 2. Add sample
curl -X POST http://localhost:17493/profiles/abc-123/samples \
curl -X POST http://localhost:8000/profiles/abc-123/samples \
-F "file=@sample.wav" \
-F "reference_text=This is my voice sample"
```
@@ -356,7 +353,7 @@ curl -X POST http://localhost:17493/profiles/abc-123/samples \
### Generating Speech
```bash
curl -X POST http://localhost:17493/generate \
curl -X POST http://localhost:8000/generate \
-H "Content-Type: application/json" \
-d '{
"profile_id": "abc-123",
@@ -368,13 +365,13 @@ curl -X POST http://localhost:17493/generate \
# Response: {"id": "gen-456", "audio_path": "/path/to/audio.wav", ...}
# Download audio
curl http://localhost:17493/audio/gen-456 -o output.wav
curl http://localhost:8000/audio/gen-456 -o output.wav
```
### Transcribing Audio
```bash
curl -X POST http://localhost:17493/transcribe \
curl -X POST http://localhost:8000/transcribe \
-F "file=@audio.wav" \
-F "language=en"
@@ -389,12 +386,12 @@ Add multiple samples to a profile for better quality:
```bash
# Add first sample
curl -X POST http://localhost:17493/profiles/abc-123/samples \
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:17493/profiles/abc-123/samples \
curl -X POST http://localhost:8000/profiles/abc-123/samples \
-F "file=@sample2.wav" \
-F "reference_text=Second sample"
@@ -415,10 +412,10 @@ Models are lazy-loaded and can be manually unloaded:
```bash
# Unload TTS model
curl -X POST http://localhost:17493/models/unload
curl -X POST http://localhost:8000/models/unload
# Load specific model size
curl -X POST "http://localhost:17493/models/load?model_size=0.6B"
curl -X POST "http://localhost:8000/models/load?model_size=0.6B"
```
## Error Handling
+1 -1
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@@ -1,3 +1,3 @@
# Backend package
__version__ = "0.2.4"
__version__ = "0.1.12"
+12 -58
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@@ -4,7 +4,6 @@ Backend abstraction layer for TTS and STT.
Provides a unified interface for MLX and PyTorch backends.
"""
import threading
from typing import Protocol, Optional, Tuple, List
from typing_extensions import runtime_checkable
import numpy as np
@@ -113,73 +112,29 @@ 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
TTS_ENGINES = {
"qwen": "Qwen TTS",
"luxtts": "LuxTTS",
"chatterbox": "Chatterbox TTS",
"chatterbox_turbo": "Chatterbox Turbo",
}
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.
global _tts_backend
Args:
engine: Engine name ("qwen" or "luxtts")
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 _tts_backend is None:
backend_type = get_backend_type()
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()
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:
@@ -206,7 +161,6 @@ def get_stt_backend() -> STTBackend:
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
-360
View File
@@ -1,360 +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 platform
import threading
from pathlib import Path
from typing import ClassVar, List, Optional, Tuple
import numpy as np
from . import TTSBackend
from ..utils.audio import normalize_audio, load_audio
from ..utils.progress import get_progress_manager
from ..utils.tasks import get_task_manager
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:
"""Get the best available device. Forces CPU on macOS (MPS issue)."""
if platform.system() == "Darwin":
return "cpu"
try:
import torch
if torch.cuda.is_available():
return "cuda"
except ImportError:
pass
return "cpu"
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:
"""Check if the Chatterbox multilingual model is cached locally."""
try:
from huggingface_hub import constants as hf_constants
repo_cache = Path(hf_constants.HF_HUB_CACHE) / (
"models--" + CHATTERBOX_HF_REPO.replace("/", "--")
)
if not repo_cache.exists():
return False
blobs_dir = repo_cache / "blobs"
if blobs_dir.exists() and any(blobs_dir.glob("*.incomplete")):
return False
# Check for multilingual weight files
snapshots_dir = repo_cache / "snapshots"
if snapshots_dir.exists():
for fname in _MTL_WEIGHT_FILES:
if not any(snapshots_dir.rglob(fname)):
return False
return True
return False
except Exception as e:
logger.warning(f"Error checking Chatterbox cache: {e}")
return False
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."""
from ..utils.hf_progress import HFProgressTracker, create_hf_progress_callback
progress_manager = get_progress_manager()
task_manager = get_task_manager()
model_name = "chatterbox-tts"
is_cached = self._is_model_cached()
# Set up HF progress tracking (intercepts tqdm for file-level progress)
progress_callback = create_hf_progress_callback(model_name, progress_manager)
tracker = HFProgressTracker(progress_callback, filter_non_downloads=is_cached)
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:
device = self._get_device()
self._device = device
logger.info(f"Loading Chatterbox Multilingual TTS on {device}...")
import torch
from chatterbox.mtl_tts import ChatterboxMultilingualTTS
# Load into a local variable first, apply all patches, then
# assign to self.model. This avoids leaving a half-initialised
# model on self.model if any patch step raises an exception.
#
# Monkey-patch torch.load for CPU loading. The model's .pt files
# were saved on CUDA; from_pretrained() doesn't pass map_location
# so loading on CPU fails without this.
try:
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,
)
finally:
tracker_context.__exit__(None, None, None)
# Fix: transformers >= 4.36 defaults LlamaModel to sdpa attention
# which doesn't support output_attentions=True (needed by
# Chatterbox's AlignmentStreamAnalyzer). Force eager attention.
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"
if not is_cached:
progress_manager.mark_complete(model_name)
task_manager.complete_download(model_name)
# Patch float64 → float32 dtype mismatches in upstream chatterbox.
# librosa.load returns float64 numpy; multiple upstream code paths
# convert it to a torch tensor via torch.from_numpy() without
# casting, then matmul it against float32 model weights.
import types
# Patch S3Tokenizer (used by s3gen.tokenizer)
_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)
# All patches applied successfully — publish the model
self.model = model
logger.info("Chatterbox Multilingual TTS loaded successfully")
except ImportError as e:
logger.error(
"chatterbox-tts package not found. "
"Install with: pip install chatterbox-tts"
)
if not is_cached:
progress_manager.mark_error(model_name, str(e))
task_manager.error_download(model_name, str(e))
raise
except Exception as e:
logger.error(f"Failed to load Chatterbox: {e}")
if not is_cached:
progress_manager.mark_error(model_name, str(e))
task_manager.error_download(model_name, str(e))
raise
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]:
"""Combine multiple reference samples."""
combined_audio = []
for path in audio_paths:
audio, _sr = load_audio(path)
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
# 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)
@@ -1,345 +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 platform
import threading
from pathlib import Path
from typing import ClassVar, List, Optional, Tuple
import numpy as np
from . import TTSBackend
from ..utils.audio import normalize_audio, load_audio
from ..utils.progress import get_progress_manager
from ..utils.tasks import get_task_manager
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:
"""Get the best available device. Forces CPU on macOS (MPS issue)."""
if platform.system() == "Darwin":
return "cpu"
try:
import torch
if torch.cuda.is_available():
return "cuda"
except ImportError:
pass
return "cpu"
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:
"""Check if the Chatterbox Turbo model is cached locally."""
try:
from huggingface_hub import constants as hf_constants
repo_cache = Path(hf_constants.HF_HUB_CACHE) / (
"models--" + CHATTERBOX_TURBO_HF_REPO.replace("/", "--")
)
if not repo_cache.exists():
return False
blobs_dir = repo_cache / "blobs"
if blobs_dir.exists() and any(blobs_dir.glob("*.incomplete")):
return False
# Check for turbo weight files
snapshots_dir = repo_cache / "snapshots"
if snapshots_dir.exists():
for fname in _TURBO_WEIGHT_FILES:
if not any(snapshots_dir.rglob(fname)):
return False
return True
return False
except Exception as e:
logger.warning(f"Error checking Chatterbox Turbo cache: {e}")
return False
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."""
from ..utils.hf_progress import HFProgressTracker, create_hf_progress_callback
progress_manager = get_progress_manager()
task_manager = get_task_manager()
model_name = "chatterbox-turbo"
is_cached = self._is_model_cached()
# Set up HF progress tracking (intercepts tqdm for file-level progress)
progress_callback = create_hf_progress_callback(model_name, progress_manager)
tracker = HFProgressTracker(progress_callback, filter_non_downloads=is_cached)
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:
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
# Download model files ourselves so we can pass token=None
# (upstream from_pretrained passes token=True which requires
# a stored HF token even though the repo is public).
try:
local_path = snapshot_download(
repo_id=CHATTERBOX_TURBO_HF_REPO,
token=None,
allow_patterns=[
"*.safetensors", "*.json", "*.txt", "*.pt", "*.model",
],
)
finally:
tracker_context.__exit__(None, None, None)
# Monkey-patch torch.load for CPU loading. The model's .pt files
# were saved on CUDA; from_local() doesn't pass map_location
# so loading on CPU fails without this.
# Load into a local var, apply patches, then publish to
# self.model so a failed patch doesn't leave us half-initialised.
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,
)
if not is_cached:
progress_manager.mark_complete(model_name)
task_manager.complete_download(model_name)
# Patch float64 → float32 dtype mismatches in upstream chatterbox.
# librosa.load returns float64 numpy; multiple upstream code paths
# convert it to a torch tensor via torch.from_numpy() without
# casting, then matmul it against float32 model weights.
# We patch the two known entry points:
#
# 1. S3Tokenizer.log_mel_spectrogram — the audio tensor from
# librosa hits _mel_filters (float32) in a matmul.
# 2. VoiceEncoder.forward — float64 mel spectrograms hit the
# float32 LSTM weights.
import types
# Patch S3Tokenizer (used by s3gen.tokenizer)
_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)
# Only publish after all patches succeed
self.model = model
logger.info("Chatterbox Turbo TTS loaded successfully")
except ImportError as e:
logger.error(
"chatterbox-tts package not found. "
"Install with: pip install chatterbox-tts"
)
if not is_cached:
progress_manager.mark_error(model_name, str(e))
task_manager.error_download(model_name, str(e))
raise
except Exception as e:
logger.error(f"Failed to load Chatterbox Turbo: {e}")
if not is_cached:
progress_manager.mark_error(model_name, str(e))
task_manager.error_download(model_name, str(e))
raise
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]:
"""Combine multiple reference samples."""
combined_audio = []
for path in audio_paths:
audio, _sr = load_audio(path)
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
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)
-275
View File
@@ -1,275 +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 pathlib import Path
from typing import List, Optional, Tuple
import numpy as np
from . import TTSBackend
from ..utils.audio import normalize_audio, load_audio
from ..utils.cache import get_cache_key, get_cached_voice_prompt, cache_voice_prompt
from ..utils.progress import get_progress_manager
from ..utils.tasks import get_task_manager
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:
"""Get the best available device."""
import torch
if torch.cuda.is_available():
return "cuda"
if hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
return "mps"
return "cpu"
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:
"""Check if LuxTTS model weights are cached locally."""
try:
from huggingface_hub import constants as hf_constants
repo_cache = (
Path(hf_constants.HF_HUB_CACHE)
/ ("models--" + LUXTTS_HF_REPO.replace("/", "--"))
)
if not repo_cache.exists():
return False
blobs_dir = repo_cache / "blobs"
if blobs_dir.exists() and any(blobs_dir.glob("*.incomplete")):
return False
snapshots_dir = repo_cache / "snapshots"
if snapshots_dir.exists():
has_weights = any(snapshots_dir.rglob("*.pt")) or any(
snapshots_dir.rglob("*.safetensors")
) or any(snapshots_dir.rglob("*.onnx")) or any(
snapshots_dir.rglob("*.bin")
)
return has_weights
return False
except Exception as e:
logger.warning(f"Error checking LuxTTS cache: {e}")
return False
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):
"""Synchronous model loading."""
from ..utils.hf_progress import HFProgressTracker, create_hf_progress_callback
progress_manager = get_progress_manager()
task_manager = get_task_manager()
model_name = "luxtts"
is_cached = self._is_model_cached()
# Set up HF progress tracking (intercepts tqdm for file-level progress)
progress_callback = create_hf_progress_callback(model_name, progress_manager)
tracker = HFProgressTracker(progress_callback, filter_non_downloads=is_cached)
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:
from zipvoice.luxvoice import LuxTTS
device = self.device
logger.info(f"Loading LuxTTS on {device}...")
# LuxTTS constructor downloads model and loads everything
try:
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,
)
finally:
tracker_context.__exit__(None, None, None)
if not is_cached:
progress_manager.mark_complete(model_name)
task_manager.complete_download(model_name)
logger.info("LuxTTS loaded successfully")
except Exception as e:
logger.error(f"Failed to load LuxTTS: {e}")
if not is_cached:
progress_manager.mark_error(model_name, str(e))
task_manager.error_download(model_name, str(e))
raise
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: List[str],
reference_texts: List[str],
) -> Tuple[np.ndarray, str]:
"""
Combine multiple reference samples.
LuxTTS doesn't have native multi-prompt support, so we concatenate
the audio and let encode_prompt handle the combined clip.
"""
combined_audio = []
for path in audio_paths:
audio, _sr = load_audio(path, sample_rate=24000)
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
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)
+9 -51
View File
@@ -5,15 +5,8 @@ MLX backend implementation for TTS and STT using mlx-audio.
from typing import Optional, List, Tuple
import asyncio
import numpy as np
import os
from pathlib import Path
# 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
from ..utils.cache import get_cache_key, get_cached_voice_prompt, cache_voice_prompt
from ..utils.audio import normalize_audio, load_audio
@@ -21,12 +14,6 @@ from ..utils.progress import get_progress_manager
from ..utils.hf_progress import HFProgressTracker, create_hf_progress_callback
from ..utils.tasks import get_task_manager
LANGUAGE_CODE_TO_NAME = {
"zh": "chinese", "en": "english", "ja": "japanese", "ko": "korean",
"de": "german", "fr": "french", "ru": "russian", "pt": "portuguese",
"es": "spanish", "it": "italian",
}
class MLXTTSBackend:
"""MLX-based TTS backend using mlx-audio."""
@@ -172,35 +159,15 @@ class MLXTTSBackend:
tracker_context = tracker.patch_download()
tracker_context.__enter__()
# PATCH: Force offline mode when model is already cached
# This prevents crashes when HuggingFace is unreachable
original_hf_hub_offline = os.environ.get("HF_HUB_OFFLINE")
if is_cached:
os.environ["HF_HUB_OFFLINE"] = "1"
print(f"[PATCH] Model {model_size} is cached, forcing HF_HUB_OFFLINE=1 to avoid network requests")
# Import mlx_audio AFTER patching tqdm
from mlx_audio.tts import load
# Load MLX model (downloads automatically)
try:
self.model = load(model_path)
except Exception as load_error:
# If offline mode failed, try with network enabled as fallback
if is_cached and "offline" in str(load_error).lower():
print(f"[PATCH] Offline load failed, trying with network: {load_error}")
os.environ.pop("HF_HUB_OFFLINE", None)
self.model = load(model_path)
else:
raise
finally:
# Exit the patch context
tracker_context.__exit__(None, None, None)
# Restore original HF_HUB_OFFLINE setting
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)
# Only mark download as complete if we were tracking it
if not is_cached:
@@ -349,8 +316,7 @@ class MLXTTSBackend:
# 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
@@ -378,23 +344,23 @@ class MLXTTSBackend:
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
print(f"Warning: Voice cloning failed, generating without voice prompt: {e}")
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
@@ -413,17 +379,9 @@ class MLXTTSBackend:
return audio, sample_rate
WHISPER_HF_REPOS = {
"base": "openai/whisper-base",
"small": "openai/whisper-small",
"medium": "openai/whisper-medium",
"large": "openai/whisper-large-v3",
}
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
@@ -444,8 +402,8 @@ class MLXSTTBackend:
"""
try:
from huggingface_hub import constants as hf_constants
hf_repo = WHISPER_HF_REPOS.get(model_size, f"openai/whisper-{model_size}")
repo_cache = Path(hf_constants.HF_HUB_CACHE) / ("models--" + hf_repo.replace("/", "--"))
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
@@ -516,7 +474,7 @@ class MLXSTTBackend:
from mlx_audio.stt import load
# MLX Whisper uses the standard OpenAI models
model_name = WHISPER_HF_REPOS.get(model_size, f"openai/whisper-{model_size}")
model_name = f"openai/whisper-{model_size}"
print(f"Loading MLX Whisper model {model_size}...")
+26 -78
View File
@@ -15,12 +15,6 @@ from ..utils.progress import get_progress_manager
from ..utils.hf_progress import HFProgressTracker, create_hf_progress_callback
from ..utils.tasks import get_task_manager
LANGUAGE_CODE_TO_NAME = {
"zh": "chinese", "en": "english", "ja": "japanese", "ko": "korean",
"de": "german", "fr": "french", "ru": "russian", "pt": "portuguese",
"es": "spanish", "it": "italian",
}
class PyTorchTTSBackend:
"""PyTorch-based TTS backend using Qwen3-TTS."""
@@ -35,23 +29,9 @@ class PyTorchTTSBackend:
"""Get the best available device."""
if torch.cuda.is_available():
return "cuda"
# Intel Arc / Intel Xe GPU via intel-extension-for-pytorch (IPEX)
try:
import intel_extension_for_pytorch # noqa: F401
if hasattr(torch, 'xpu') and torch.xpu.is_available():
return "xpu"
except ImportError:
pass
# Any GPU on Windows via DirectML (torch-directml)
try:
import torch_directml
if torch_directml.device_count() > 0:
return torch_directml.device(0)
except ImportError:
pass
# MPS (Apple Silicon) — kept for completeness but MLX backend is preferred
if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
return "cpu" # MPS disabled for stability; MLX backend handles Apple Silicon
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:
@@ -186,21 +166,11 @@ class PyTorchTTSBackend:
# Load the model (tqdm is patched, but filters out non-download progress)
try:
# Don't pass device_map on CPU: accelerate's meta-tensor mechanism
# causes "Cannot copy out of meta tensor" when moving to CPU.
# Instead load directly then call .to(device) if needed.
if self.device == "cpu":
self.model = Qwen3TTSModel.from_pretrained(
model_path,
torch_dtype=torch.float32,
low_cpu_mem_usage=False,
)
else:
self.model = Qwen3TTSModel.from_pretrained(
model_path,
device_map=self.device,
torch_dtype=torch.bfloat16,
)
self.model = Qwen3TTSModel.from_pretrained(
model_path,
device_map=self.device,
torch_dtype=torch.float32 if self.device == "cpu" else torch.bfloat16,
)
finally:
# Exit the patch context
tracker_context.__exit__(None, None, None)
@@ -365,7 +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
@@ -376,18 +345,9 @@ class PyTorchTTSBackend:
return audio, sample_rate
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",
}
class PyTorchSTTBackend:
"""PyTorch-based STT backend using Whisper."""
def __init__(self, model_size: str = "base"):
self.model = None
self.processor = None
@@ -398,22 +358,9 @@ class PyTorchSTTBackend:
"""Get the best available device."""
if torch.cuda.is_available():
return "cuda"
# Intel Arc / Intel Xe GPU via intel-extension-for-pytorch (IPEX)
try:
import intel_extension_for_pytorch # noqa: F401
if hasattr(torch, 'xpu') and torch.xpu.is_available():
return "xpu"
except ImportError:
pass
# Any GPU on Windows via DirectML (torch-directml)
try:
import torch_directml
if torch_directml.device_count() > 0:
return torch_directml.device(0)
except ImportError:
pass
if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
return "cpu" # MPS disabled for stability
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:
@@ -432,18 +379,18 @@ class PyTorchSTTBackend:
"""
try:
from huggingface_hub import constants as hf_constants
hf_repo = WHISPER_HF_REPOS.get(model_size, f"openai/whisper-{model_size}")
repo_cache = Path(hf_constants.HF_HUB_CACHE) / ("models--" + hf_repo.replace("/", "--"))
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():
@@ -454,12 +401,12 @@ class PyTorchSTTBackend:
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.
@@ -510,7 +457,7 @@ class PyTorchSTTBackend:
# Import transformers
from transformers import WhisperProcessor, WhisperForConditionalGeneration
model_name = WHISPER_HF_REPOS.get(model_size, f"openai/whisper-{model_size}")
model_name = f"openai/whisper-{model_size}"
print(f"[DEBUG] Model name: {model_name}")
print(f"Loading Whisper model {model_size} on {self.device}...")
@@ -599,20 +546,21 @@ class PyTorchSTTBackend:
)
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
+23 -137
View File
@@ -1,13 +1,8 @@
"""
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 os
import platform
import sys
@@ -19,22 +14,26 @@ def is_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',
'--noconsole', # No visible console window on Windows
'--name', binary_name,
]
@@ -63,20 +62,6 @@ def build_server(cuda=False):
'--hidden-import', 'backend.utils.progress',
'--hidden-import', 'backend.utils.hf_progress',
'--hidden-import', 'backend.utils.validation',
'--hidden-import', 'backend.cuda_download',
'--hidden-import', 'backend.effects',
'--hidden-import', 'backend.utils.effects',
'--hidden-import', 'backend.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',
'--hidden-import', 'torch',
'--hidden-import', 'transformers',
'--hidden-import', 'fastapi',
@@ -98,29 +83,8 @@ def build_server(cuda=False):
'--collect-submodules', 'jaraco',
])
# Add CUDA-specific hidden imports
if cuda:
print("Building with CUDA support")
args.extend([
'--hidden-import', 'torch.cuda',
'--hidden-import', 'torch.backends.cudnn',
])
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])
# Add MLX-specific imports if building on Apple Silicon (never for CUDA builds)
if is_apple_silicon() and not cuda:
# 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',
@@ -132,23 +96,14 @@ def build_server(cuda=False):
'--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',
# Collect MLX data files including Metal shader libraries (.metallib)
'--collect-data', 'mlx',
'--collect-data', 'mlx_audio',
])
elif not cuda:
else:
print("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',
])
@@ -156,85 +111,16 @@ def build_server(cuda=False):
# 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:
print("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:
print("Restoring CUDA torch...")
import subprocess
subprocess.run(
[sys.executable, "-m", "pip", "install", "torch", "torchvision", "torchaudio",
"--index-url", "https://download.pytorch.org/whl/cu126", "--force-reinstall", "-q"],
check=True
)
print(f"Binary built in {backend_dir / 'dist' / binary_name}")
PyInstaller.__main__.run(args)
def _get_cuda_dll_excludes():
"""Get list of CUDA DLL filenames to exclude from CPU builds.
When building locally with CUDA torch installed, PyInstaller bundles ~3GB of
CUDA DLLs from torch/lib/. Returns a list of DLL filenames to exclude.
"""
try:
import torch
torch_lib = Path(torch.__file__).parent / 'lib'
except ImportError:
return []
cuda_prefixes = (
'torch_cuda', 'cublas', 'cublasLt', 'cudnn', 'cusparse', 'cufft',
'cusolver', 'cusolverMg', 'curand', 'nvrtc', 'nvJitLink', 'nccl',
'nvperf', 'nvrtc-builtins',
)
exclude_dlls = []
if torch_lib.exists():
for f in torch_lib.iterdir():
if f.suffix == '.dll' and any(f.name.startswith(p) for p in cuda_prefixes):
exclude_dlls.append(f.name)
if exclude_dlls:
total_mb = sum(
(torch_lib / dll).stat().st_size
for dll in exclude_dlls
if (torch_lib / dll).exists()
) / 1024 / 1024
print(f"CPU build: will exclude {len(exclude_dlls)} CUDA DLLs ({total_mb:.0f} MB)")
return exclude_dlls
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)
# Accept variant as command line argument
variant = sys.argv[1] if len(sys.argv) > 1 else 'cpu'
build_server(variant)
+30
View File
@@ -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 ============================================================
+28
View File
@@ -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 ============================================================
+30
View File
@@ -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 "============================================================"
+22
View File
@@ -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 ============================================================
-9
View File
@@ -4,17 +4,8 @@ Configuration module for voicebox backend.
Handles data directory configuration for production bundling.
"""
import os
from pathlib import Path
# 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
print(f"[config] Model download path set to: {_custom_models_dir}")
# Default data directory (used in development)
_data_dir = Path("data")
-259
View File
@@ -1,259 +0,0 @@
"""
CUDA backend binary download, assembly, and verification.
Downloads split parts of the CUDA-enabled voicebox-server binary from
GitHub Releases, reassembles them, verifies integrity via SHA-256,
and places the binary in the app's data directory for use on next
backend restart.
"""
import hashlib
import logging
import os
import sys
from pathlib import Path
from typing import Optional
from .config import get_data_dir
from .utils.progress import get_progress_manager
from . import __version__
logger = logging.getLogger(__name__)
GITHUB_RELEASES_URL = "https://github.com/jamiepine/voicebox/releases/download"
PROGRESS_KEY = "cuda-backend"
def get_backends_dir() -> Path:
"""Directory where downloaded backend binaries are stored."""
d = get_data_dir() / "backends"
d.mkdir(parents=True, exist_ok=True)
return d
def get_cuda_binary_name() -> str:
"""Platform-specific CUDA binary filename."""
if sys.platform == "win32":
return "voicebox-server-cuda.exe"
return "voicebox-server-cuda"
def get_cuda_binary_path() -> Optional[Path]:
"""Return path to CUDA binary if it exists."""
p = get_backends_dir() / get_cuda_binary_name()
if p.exists():
return p
return None
def is_cuda_active() -> bool:
"""Check if the current process is the CUDA binary.
The CUDA binary sets this env var on startup (see server.py).
"""
return os.environ.get("VOICEBOX_BACKEND_VARIANT") == "cuda"
def get_cuda_status() -> dict:
"""Get current CUDA backend status for the API."""
progress_manager = get_progress_manager()
cuda_path = get_cuda_binary_path()
progress = progress_manager.get_progress(PROGRESS_KEY)
return {
"available": cuda_path is not None,
"active": is_cuda_active(),
"binary_path": str(cuda_path) if cuda_path else None,
"downloading": progress is not None and progress.get("status") == "downloading",
"download_progress": progress,
}
async def download_cuda_binary(version: Optional[str] = None):
"""Download the CUDA backend binary from GitHub Releases.
Downloads split parts listed in a manifest file, concatenates them,
and verifies the SHA-256 checksum for integrity. Atomic write
(temp file -> rename).
Args:
version: Version tag (e.g. "v0.2.0"). Defaults to current app version.
"""
import httpx
if version is None:
version = f"v{__version__}"
progress = get_progress_manager()
binary_name = get_cuda_binary_name()
dest_dir = get_backends_dir()
final_path = dest_dir / binary_name
temp_path = dest_dir / f"{binary_name}.download"
# Clean up any leftover partial download
if temp_path.exists():
temp_path.unlink()
logger.info(f"Starting CUDA backend download for {version}")
progress.update_progress(
PROGRESS_KEY, current=0, total=0,
filename="Fetching manifest...", status="downloading",
)
base_url = f"{GITHUB_RELEASES_URL}/{version}"
stem = Path(binary_name).stem # voicebox-server-cuda
try:
async with httpx.AsyncClient(follow_redirects=True, timeout=30.0) as client:
# Fetch the manifest (list of split part filenames)
manifest_url = f"{base_url}/{stem}.manifest"
manifest_resp = await client.get(manifest_url)
manifest_resp.raise_for_status()
parts = [p.strip() for p in manifest_resp.text.strip().splitlines() if p.strip()]
if not parts:
raise ValueError("Empty manifest — no split parts found")
logger.info(f"Found {len(parts)} split parts to download")
# Fetch expected checksum (optional — for integrity verification)
expected_sha = None
try:
sha_url = f"{base_url}/{stem}.sha256"
sha_resp = await client.get(sha_url)
if sha_resp.status_code == 200:
# Format: "sha256hex filename\n"
expected_sha = sha_resp.text.strip().split()[0]
logger.info(f"Expected SHA-256: {expected_sha[:16]}...")
except Exception as e:
logger.warning(f"Could not fetch checksum file — skipping verification: {e}")
# Get total size across all parts by issuing HEAD requests
total_size = 0
for part_name in parts:
try:
head_resp = await client.head(f"{base_url}/{part_name}")
content_length = int(head_resp.headers.get("content-length", 0))
total_size += content_length
except Exception:
pass
logger.info(f"Total download size: {total_size / 1024 / 1024:.1f} MB")
# Download and concatenate parts
total_downloaded = 0
with open(temp_path, "wb") as f:
for i, part_name in enumerate(parts):
part_url = f"{base_url}/{part_name}"
logger.info(f"Downloading part {i + 1}/{len(parts)}: {part_name}")
async with client.stream("GET", part_url) as response:
response.raise_for_status()
async for chunk in response.aiter_bytes(chunk_size=1024 * 1024):
f.write(chunk)
total_downloaded += len(chunk)
progress.update_progress(
PROGRESS_KEY, current=total_downloaded, total=total_size,
filename=f"Downloading CUDA backend ({i + 1}/{len(parts)})",
status="downloading",
)
# Verify integrity if checksum was available
if expected_sha:
progress.update_progress(
PROGRESS_KEY, current=total_downloaded, total=total_downloaded,
filename="Verifying integrity...", status="downloading",
)
sha256 = hashlib.sha256()
with open(temp_path, "rb") as f:
while True:
chunk = f.read(1024 * 1024)
if not chunk:
break
sha256.update(chunk)
actual = sha256.hexdigest()
if actual != expected_sha:
raise ValueError(
f"Integrity check failed: expected {expected_sha[:16]}..., "
f"got {actual[:16]}..."
)
logger.info(f"Integrity verified: {actual[:16]}...")
# Atomic move into place (replace handles existing target on all platforms)
temp_path.replace(final_path)
# Make executable on Unix
if sys.platform != "win32":
final_path.chmod(0o755)
logger.info(f"CUDA backend downloaded to {final_path}")
progress.mark_complete(PROGRESS_KEY)
except Exception as e:
# Clean up on failure
if temp_path.exists():
temp_path.unlink()
logger.error(f"CUDA backend download failed: {e}")
progress.mark_error(PROGRESS_KEY, str(e))
raise
def get_cuda_binary_version() -> Optional[str]:
"""Get the version of the installed CUDA binary, or None if not installed."""
import subprocess
cuda_path = get_cuda_binary_path()
if not cuda_path:
return None
try:
result = subprocess.run(
[str(cuda_path), "--version"],
capture_output=True, text=True, timeout=30,
)
# Output format: "voicebox-server 0.2.0"
for line in result.stdout.strip().splitlines():
if "voicebox-server" in line:
return line.split()[-1]
except Exception as e:
logger.warning(f"Could not get CUDA binary version: {e}")
return None
async def check_and_update_cuda_binary():
"""Check if the CUDA binary is outdated and auto-download if so.
Called on server startup. If a CUDA binary exists but its version
doesn't match the current app version, triggers a background download
of the updated CUDA binary. The download progress is visible to the
frontend via the existing SSE progress endpoint.
"""
cuda_path = get_cuda_binary_path()
if not cuda_path:
return # No CUDA binary installed, nothing to update
cuda_version = get_cuda_binary_version()
current_version = __version__
if cuda_version == current_version:
logger.info(f"CUDA binary is up to date (v{current_version})")
return
logger.info(
f"CUDA binary version mismatch: binary=v{cuda_version}, app=v{current_version}. "
f"Auto-downloading updated CUDA backend..."
)
try:
await download_cuda_binary()
except Exception as e:
logger.error(f"Auto-update of CUDA binary failed: {e}")
async def delete_cuda_binary() -> bool:
"""Delete the downloaded CUDA binary. Returns True if deleted."""
path = get_cuda_binary_path()
if path and path.exists():
path.unlink()
logger.info(f"Deleted CUDA binary: {path}")
return True
return False
+2 -191
View File
@@ -23,7 +23,6 @@ class VoiceProfile(Base):
description = Column(Text)
language = Column(String, default="en")
avatar_path = Column(String, nullable=True)
effects_chain = Column(Text, nullable=True) # JSON-serialized default effects chain
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
@@ -46,15 +45,10 @@ class Generation(Base):
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)
audio_path = Column(String, nullable=False)
duration = Column(Float, nullable=False)
seed = Column(Integer)
instruct = Column(Text)
engine = Column(String, default="qwen")
model_size = Column(String, nullable=True)
status = Column(String, default="completed") # generating, completed, failed
error = Column(Text, nullable=True)
is_favorited = Column(Boolean, default=False)
created_at = Column(DateTime, default=datetime.utcnow)
@@ -76,7 +70,6 @@ class StoryItem(Base):
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) # Pin to specific version, null = use generation default
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
@@ -95,33 +88,6 @@ class Project(Base):
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
class GenerationVersion(Base):
"""A version of a generation's audio (clean, 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) # "clean", "processed", or user-defined
audio_path = Column(String, nullable=False)
effects_chain = Column(Text, nullable=True) # JSON-serialized effects config, null for clean
source_version_id = Column(String, ForeignKey("generation_versions.id"), nullable=True) # Which version was used as input
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) # JSON-serialized effects config
is_builtin = Column(Boolean, default=False)
sort_order = Column(Integer, default=100)
created_at = Column(DateTime, default=datetime.utcnow)
class AudioChannel(Base):
"""Audio channel (bus) database model."""
__tablename__ = "audio_channels"
@@ -199,12 +165,6 @@ def init_db():
finally:
db.close()
# Backfill: create "clean" GenerationVersion entries for existing generations
_backfill_generation_versions()
# Seed built-in effect presets
_seed_builtin_presets()
def _run_migrations(engine):
"""Run database migrations."""
@@ -328,155 +288,6 @@ def _run_migrations(engine):
conn.commit()
print("Added avatar_path column to profiles")
# Migration: Add status and error columns to generations table
if 'generations' in inspector.get_table_names():
columns = {col['name'] for col in inspector.get_columns('generations')}
if 'status' not in columns:
print("Migrating generations: adding status column")
with engine.connect() as conn:
conn.execute(text("ALTER TABLE generations ADD COLUMN status VARCHAR DEFAULT 'completed'"))
conn.commit()
print("Added status column to generations")
if 'error' not in columns:
print("Migrating generations: adding error column")
with engine.connect() as conn:
conn.execute(text("ALTER TABLE generations ADD COLUMN error TEXT"))
conn.commit()
print("Added error column to generations")
if 'engine' not in columns:
print("Migrating generations: adding engine column")
with engine.connect() as conn:
conn.execute(text("ALTER TABLE generations ADD COLUMN engine VARCHAR DEFAULT 'qwen'"))
conn.commit()
print("Added engine column to generations")
# Re-read columns after engine migration (variable name shadows outer `engine`)
columns = {col['name'] for col in inspector.get_columns('generations')}
if 'model_size' not in columns:
print("Migrating generations: adding model_size column")
with engine.connect() as conn:
conn.execute(text("ALTER TABLE generations ADD COLUMN model_size VARCHAR"))
conn.commit()
print("Added model_size column to generations")
# Migration: Add effects_chain to profiles table
if 'profiles' in inspector.get_table_names():
columns = {col['name'] for col in inspector.get_columns('profiles')}
if 'effects_chain' not in columns:
print("Migrating profiles: adding effects_chain column")
with engine.connect() as conn:
conn.execute(text("ALTER TABLE profiles ADD COLUMN effects_chain TEXT"))
conn.commit()
print("Added effects_chain column to profiles")
# Migration: Add sort_order to effect_presets table
if 'effect_presets' in inspector.get_table_names():
columns = {col['name'] for col in inspector.get_columns('effect_presets')}
if 'sort_order' not in columns:
print("Migrating effect_presets: adding sort_order column")
with engine.connect() as conn:
conn.execute(text("ALTER TABLE effect_presets ADD COLUMN sort_order INTEGER DEFAULT 100"))
conn.commit()
print("Added sort_order column to effect_presets")
# Migration: Add version_id column to story_items table
if 'story_items' in inspector.get_table_names():
columns = {col['name'] for col in inspector.get_columns('story_items')}
if 'version_id' not in columns:
print("Migrating story_items: adding version_id column")
with engine.connect() as conn:
conn.execute(text("ALTER TABLE story_items ADD COLUMN version_id VARCHAR"))
conn.commit()
print("Added version_id column to story_items")
# Migration: Add source_version_id to generation_versions table
if 'generation_versions' in inspector.get_table_names():
columns = {col['name'] for col in inspector.get_columns('generation_versions')}
if 'source_version_id' not in columns:
print("Migrating generation_versions: adding source_version_id column")
with engine.connect() as conn:
conn.execute(text("ALTER TABLE generation_versions ADD COLUMN source_version_id VARCHAR"))
conn.commit()
print("Added source_version_id column to generation_versions")
if 'generations' in inspector.get_table_names():
columns = {col['name'] for col in inspector.get_columns('generations')}
if 'is_favorited' not in columns:
print("Migrating generations: adding is_favorited column")
with engine.connect() as conn:
conn.execute(text("ALTER TABLE generations ADD COLUMN is_favorited BOOLEAN DEFAULT 0"))
conn.commit()
print("Added is_favorited column to generations")
# Migration: Create generation_versions for existing generations
# (populate after tables are created, handled in init_db)
def _backfill_generation_versions():
"""Create 'clean' version entries for existing generations that don't have any."""
db = SessionLocal()
try:
from pathlib import Path as _Path
# Find generations that have no version entries
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()
print(f"Backfilled {count} generation version entries")
finally:
db.close()
def _seed_builtin_presets():
"""Ensure built-in effect presets exist in the database."""
import json
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()
def get_db():
"""Get database session (generator for dependency injection)."""
-120
View File
@@ -1,120 +0,0 @@
"""
Effect presets CRUD operations.
"""
from __future__ import annotations
import json
import uuid
from typing import List, Optional
from sqlalchemy.orm import Session
from sqlalchemy.exc import IntegrityError
from .database import EffectPreset as DBEffectPreset
from .models import EffectPresetResponse, EffectPresetCreate, EffectPresetUpdate, EffectConfig
def _preset_response(p: DBEffectPreset) -> EffectPresetResponse:
"""Convert a DB preset row to a Pydantic response."""
effects_chain = [EffectConfig(**e) for e in json.loads(p.effects_chain)]
return EffectPresetResponse(
id=p.id,
name=p.name,
description=p.description,
effects_chain=effects_chain,
is_builtin=p.is_builtin or False,
created_at=p.created_at,
)
def list_presets(db: Session) -> List[EffectPresetResponse]:
"""List all effect presets (built-in + user-created)."""
presets = db.query(DBEffectPreset).order_by(DBEffectPreset.sort_order, DBEffectPreset.name).all()
return [_preset_response(p) for p in presets]
def get_preset(preset_id: str, db: Session) -> Optional[EffectPresetResponse]:
"""Get a preset by ID."""
p = db.query(DBEffectPreset).filter_by(id=preset_id).first()
if not p:
return None
return _preset_response(p)
def get_preset_by_name(name: str, db: Session) -> Optional[EffectPresetResponse]:
"""Get a preset by name."""
p = db.query(DBEffectPreset).filter_by(name=name).first()
if not p:
return None
return _preset_response(p)
def create_preset(data: EffectPresetCreate, db: Session) -> EffectPresetResponse:
"""Create a new user effect preset."""
from .utils.effects import validate_effects_chain
chain_dicts = [e.model_dump() for e in data.effects_chain]
error = validate_effects_chain(chain_dicts)
if error:
raise ValueError(error)
# Check for duplicate name before insert
existing = db.query(DBEffectPreset).filter_by(name=data.name).first()
if existing:
raise ValueError(f"A preset named '{data.name}' already exists")
preset = DBEffectPreset(
id=str(uuid.uuid4()),
name=data.name,
description=data.description,
effects_chain=json.dumps(chain_dicts),
is_builtin=False,
)
db.add(preset)
try:
db.commit()
except IntegrityError:
db.rollback()
raise ValueError(f"A preset named '{data.name}' already exists")
db.refresh(preset)
return _preset_response(preset)
def update_preset(preset_id: str, data: EffectPresetUpdate, db: Session) -> Optional[EffectPresetResponse]:
"""Update a user effect preset. Cannot modify built-in presets."""
preset = db.query(DBEffectPreset).filter_by(id=preset_id).first()
if not preset:
return None
if preset.is_builtin:
raise ValueError("Cannot modify built-in presets")
if data.name is not None:
preset.name = data.name
if data.description is not None:
preset.description = data.description
if data.effects_chain is not None:
from .utils.effects import validate_effects_chain
chain_dicts = [e.model_dump() for e in data.effects_chain]
error = validate_effects_chain(chain_dicts)
if error:
raise ValueError(error)
preset.effects_chain = json.dumps(chain_dicts)
db.commit()
db.refresh(preset)
return _preset_response(preset)
def delete_preset(preset_id: str, db: Session) -> bool:
"""Delete a user effect preset. Cannot delete built-in presets."""
preset = db.query(DBEffectPreset).filter_by(id=preset_id).first()
if not preset:
return False
if preset.is_builtin:
raise ValueError("Cannot delete built-in presets")
db.delete(preset)
db.commit()
return True
+11 -37
View File
@@ -13,7 +13,7 @@ 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 .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
@@ -269,33 +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": {
@@ -312,22 +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()
+9 -96
View File
@@ -10,8 +10,8 @@ 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 .models import GenerationRequest, GenerationResponse, HistoryQuery, HistoryResponse, HistoryListResponse
from .database import Generation as DBGeneration, VoiceProfile as DBVoiceProfile
from . import config
@@ -20,43 +20,6 @@ def _get_generations_dir() -> Path:
return config.get_generations_dir()
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
async def create_generation(
profile_id: str,
text: str,
@@ -66,10 +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.
@@ -83,16 +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,
@@ -100,9 +55,6 @@ async def create_generation(
duration=duration,
seed=seed,
instruct=instruct,
engine=engine,
model_size=model_size,
status=status,
created_at=datetime.utcnow(),
)
@@ -113,32 +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,
@@ -207,7 +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,
@@ -218,14 +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(
@@ -251,17 +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()
+115 -1563
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File diff suppressed because it is too large Load Diff
+11 -163
View File
@@ -11,7 +11,7 @@ class VoiceProfileCreate(BaseModel):
"""Request model for creating a voice profile."""
name: str = Field(..., min_length=1, max_length=100)
description: Optional[str] = Field(None, max_length=500)
language: str = Field(default="en", pattern="^(zh|en|ja|ko|de|fr|ru|pt|es|it|he|ar|da|el|fi|hi|ms|nl|no|pl|sv|sw|tr)$")
language: str = Field(default="en", pattern="^(zh|en|ja|ko|de|fr|ru|pt|es|it)$")
class VoiceProfileResponse(BaseModel):
@@ -21,9 +21,6 @@ class VoiceProfileResponse(BaseModel):
description: Optional[str]
language: str
avatar_path: Optional[str] = None
effects_chain: Optional[List["EffectConfig"]] = None
generation_count: int = 0
sample_count: int = 0
created_at: datetime
updated_at: datetime
@@ -55,16 +52,11 @@ class ProfileSampleResponse(BaseModel):
class GenerationRequest(BaseModel):
"""Request model for voice generation."""
profile_id: str
text: str = Field(..., min_length=1, max_length=50000)
language: str = Field(default="en", pattern="^(zh|en|ja|ko|de|fr|ru|pt|es|it|he)$")
text: str = Field(..., min_length=1, max_length=5000)
language: str = Field(default="en", pattern="^(zh|en|ja|ko|de|fr|ru|pt|es|it)$")
seed: Optional[int] = Field(None, ge=0)
model_size: Optional[str] = Field(default="1.7B", pattern="^(1\\.7B|0\\.6B)$")
instruct: Optional[str] = Field(None, max_length=500)
engine: Optional[str] = Field(default="qwen", pattern="^(qwen|luxtts|chatterbox|chatterbox_turbo)$")
max_chunk_chars: int = Field(default=800, ge=100, le=5000, description="Max characters per chunk for long text splitting")
crossfade_ms: int = Field(default=50, ge=0, le=500, description="Crossfade duration in ms between chunks (0 for hard cut)")
normalize: bool = Field(default=True, description="Normalize output audio volume")
effects_chain: Optional[List["EffectConfig"]] = Field(None, description="Effects chain to apply after generation (overrides profile default)")
class GenerationResponse(BaseModel):
@@ -73,18 +65,11 @@ class GenerationResponse(BaseModel):
profile_id: str
text: str
language: str
audio_path: Optional[str] = None
duration: Optional[float] = None
seed: Optional[int] = None
instruct: Optional[str] = None
engine: Optional[str] = "qwen"
model_size: Optional[str] = None
status: str = "completed"
error: Optional[str] = None
is_favorited: bool = False
audio_path: str
duration: float
seed: Optional[int]
instruct: Optional[str]
created_at: datetime
versions: Optional[List["GenerationVersionResponse"]] = None
active_version_id: Optional[str] = None
class Config:
from_attributes = True
@@ -105,18 +90,11 @@ class HistoryResponse(BaseModel):
profile_name: str
text: str
language: str
audio_path: Optional[str] = None
duration: Optional[float] = None
seed: Optional[int] = None
instruct: Optional[str] = None
engine: Optional[str] = "qwen"
model_size: Optional[str] = None
status: str = "completed"
error: Optional[str] = None
is_favorited: bool = False
audio_path: str
duration: float
seed: Optional[int]
instruct: Optional[str]
created_at: datetime
versions: Optional[List["GenerationVersionResponse"]] = None
active_version_id: Optional[str] = None
class Config:
from_attributes = True
@@ -149,30 +127,12 @@ class HealthResponse(BaseModel):
gpu_type: Optional[str] = None # GPU type (CUDA, MPS, or None)
vram_used_mb: Optional[float] = None
backend_type: Optional[str] = None # Backend type (mlx or pytorch)
backend_variant: Optional[str] = None # Binary variant (cpu or cuda)
class DirectoryCheck(BaseModel):
"""Health status for a single directory."""
path: str
exists: bool
writable: bool
error: Optional[str] = None
class FilesystemHealthResponse(BaseModel):
"""Response model for filesystem health check."""
healthy: bool
disk_free_mb: Optional[float] = None
disk_total_mb: Optional[float] = None
directories: List[DirectoryCheck]
class ModelStatus(BaseModel):
"""Response model for model status."""
model_name: str
display_name: str
hf_repo_id: Optional[str] = None # HuggingFace repository ID
downloaded: bool
downloading: bool = False # True if download is in progress
size_mb: Optional[float] = None
@@ -189,21 +149,11 @@ class ModelDownloadRequest(BaseModel):
model_name: str
class ModelMigrateRequest(BaseModel):
"""Request model for migrating models to a new directory."""
destination: str
class ActiveDownloadTask(BaseModel):
"""Response model for active download task."""
model_name: str
status: str
started_at: datetime
error: Optional[str] = None
progress: Optional[float] = None # 0-100 percentage
current: Optional[int] = None # bytes downloaded
total: Optional[int] = None # total bytes
filename: Optional[str] = None # current file being downloaded
class ActiveGenerationTask(BaseModel):
@@ -278,7 +228,6 @@ class StoryItemDetail(BaseModel):
id: str
story_id: str
generation_id: str
version_id: Optional[str] = None
start_time_ms: int
track: int = 0
trim_start_ms: int = 0
@@ -294,9 +243,6 @@ class StoryItemDetail(BaseModel):
seed: Optional[int]
instruct: Optional[str]
generation_created_at: datetime
# Versions available for this generation
versions: Optional[List["GenerationVersionResponse"]] = None
active_version_id: Optional[str] = None
class Config:
from_attributes = True
@@ -353,101 +299,3 @@ class StoryItemTrim(BaseModel):
class StoryItemSplit(BaseModel):
"""Request model for splitting a story item."""
split_time_ms: int = Field(..., ge=0) # Time within the clip to split at (relative to clip start)
class StoryItemVersionUpdate(BaseModel):
"""Request model for setting a story item's pinned version."""
version_id: Optional[str] = None # null = use generation default
# ============================================
# Effects & Versions
# ============================================
class EffectConfig(BaseModel):
"""A single effect in an effects chain."""
type: str
enabled: bool = True
params: dict = Field(default_factory=dict)
class EffectsChain(BaseModel):
"""An ordered list of effects to apply."""
effects: List[EffectConfig] = Field(default_factory=list)
class EffectPresetCreate(BaseModel):
"""Request model for creating an effect preset."""
name: str = Field(..., min_length=1, max_length=100)
description: Optional[str] = Field(None, max_length=500)
effects_chain: List[EffectConfig]
class EffectPresetUpdate(BaseModel):
"""Request model for updating an effect preset."""
name: Optional[str] = Field(None, min_length=1, max_length=100)
description: Optional[str] = None
effects_chain: Optional[List[EffectConfig]] = None
class EffectPresetResponse(BaseModel):
"""Response model for effect preset."""
id: str
name: str
description: Optional[str] = None
effects_chain: List[EffectConfig]
is_builtin: bool = False
created_at: datetime
class Config:
from_attributes = True
class GenerationVersionResponse(BaseModel):
"""Response model for a generation version."""
id: str
generation_id: str
label: str
audio_path: str
effects_chain: Optional[List[EffectConfig]] = None
source_version_id: Optional[str] = None
is_default: bool
created_at: datetime
class Config:
from_attributes = True
class ApplyEffectsRequest(BaseModel):
"""Request to apply effects to an existing generation."""
effects_chain: List[EffectConfig]
source_version_id: Optional[str] = Field(None, description="Version to use as source audio (defaults to clean/original)")
label: Optional[str] = Field(None, max_length=100, description="Label for this version (auto-generated if omitted)")
set_as_default: bool = Field(default=True, description="Set this version as the default")
class ProfileEffectsUpdate(BaseModel):
"""Request to update the default effects chain on a profile."""
effects_chain: Optional[List[EffectConfig]] = Field(None, description="Effects chain (null to remove)")
class AvailableEffectParam(BaseModel):
"""Description of a single effect parameter."""
default: float
min: float
max: float
step: float
description: str
class AvailableEffect(BaseModel):
"""Description of an available effect type."""
type: str
label: str
description: str
params: dict # param_name -> AvailableEffectParam
class AvailableEffectsResponse(BaseModel):
"""Response listing all available effect types."""
effects: List[AvailableEffect]
+5 -7
View File
@@ -19,17 +19,15 @@ def is_apple_silicon() -> bool:
def get_backend_type() -> Literal["mlx", "pytorch"]:
"""
Detect the best backend for the current platform.
Returns:
"mlx" on Apple Silicon (if MLX is available and functional), "pytorch" otherwise
"mlx" on Apple Silicon (if MLX is available), "pytorch" otherwise
"""
if is_apple_silicon():
try:
import mlx.core # noqa: F401 — triggers native lib loading
import mlx
return "mlx"
except (ImportError, OSError, RuntimeError):
# MLX not installed, or native libraries failed to load inside a
# PyInstaller bundle (OSError on missing .dylib / .metallib).
# Fall through to PyTorch.
except ImportError:
# MLX not installed, fallback to PyTorch
return "pytorch"
return "pytorch"
+19 -97
View File
@@ -8,7 +8,7 @@ import uuid
import shutil
from pathlib import Path
from sqlalchemy.orm import Session
from sqlalchemy import func, select
from sqlalchemy import select
from .models import (
VoiceProfileCreate,
@@ -19,43 +19,12 @@ from .models import (
from .database import (
VoiceProfile as DBVoiceProfile,
ProfileSample as DBProfileSample,
Generation as DBGeneration,
)
from .models import EffectConfig
from .utils.audio import validate_reference_audio, load_audio, save_audio
from .utils.images import validate_image, process_avatar
from .utils.cache import _get_cache_dir, clear_profile_cache
from .tts import get_tts_model
from . import config
import json as _json
def _profile_to_response(
profile: DBVoiceProfile,
generation_count: int = 0,
sample_count: int = 0,
) -> VoiceProfileResponse:
"""Convert a DB profile to a VoiceProfileResponse, deserializing effects_chain."""
effects_chain = None
if profile.effects_chain:
try:
raw = _json.loads(profile.effects_chain)
effects_chain = [EffectConfig(**e) for e in raw]
except Exception as e:
import logging
logging.warning(f"Failed to parse effects_chain for profile {profile.id}: {e}")
return VoiceProfileResponse(
id=profile.id,
name=profile.name,
description=profile.description,
language=profile.language,
avatar_path=profile.avatar_path,
effects_chain=effects_chain,
generation_count=generation_count,
sample_count=sample_count,
created_at=profile.created_at,
updated_at=profile.updated_at,
)
def _get_profiles_dir() -> Path:
@@ -69,22 +38,14 @@ async def create_profile(
) -> VoiceProfileResponse:
"""
Create a new voice profile.
Args:
data: Profile creation data
db: Database session
Returns:
Created profile
Raises:
ValueError: If a profile with the same name already exists
"""
# Check if profile name already exists
existing_profile = db.query(DBVoiceProfile).filter_by(name=data.name).first()
if existing_profile:
raise ValueError(f"A profile with the name '{data.name}' already exists. Please choose a different name.")
# Create profile in database
db_profile = DBVoiceProfile(
id=str(uuid.uuid4()),
@@ -94,16 +55,16 @@ async def create_profile(
created_at=datetime.utcnow(),
updated_at=datetime.utcnow(),
)
db.add(db_profile)
db.commit()
db.refresh(db_profile)
# Create profile directory
profile_dir = _get_profiles_dir() / db_profile.id
profile_dir.mkdir(parents=True, exist_ok=True)
return _profile_to_response(db_profile)
return VoiceProfileResponse.model_validate(db_profile)
async def add_profile_sample(
@@ -185,7 +146,7 @@ async def get_profile(
if not profile:
return None
return _profile_to_response(profile)
return VoiceProfileResponse.model_validate(profile)
async def get_profile_samples(
@@ -208,7 +169,7 @@ async def get_profile_samples(
async def list_profiles(db: Session) -> List[VoiceProfileResponse]:
"""
List all voice profiles with generation and sample counts.
List all voice profiles.
Args:
db: Database session
@@ -219,34 +180,8 @@ async def list_profiles(db: Session) -> List[VoiceProfileResponse]:
profiles = db.query(DBVoiceProfile).order_by(
DBVoiceProfile.created_at.desc()
).all()
if not profiles:
return []
# Batch-fetch generation counts
gen_counts_rows = (
db.query(DBGeneration.profile_id, func.count(DBGeneration.id))
.group_by(DBGeneration.profile_id)
.all()
)
gen_counts = {row[0]: row[1] for row in gen_counts_rows}
# Batch-fetch sample counts
sample_counts_rows = (
db.query(DBProfileSample.profile_id, func.count(DBProfileSample.id))
.group_by(DBProfileSample.profile_id)
.all()
)
sample_counts = {row[0]: row[1] for row in sample_counts_rows}
return [
_profile_to_response(
p,
generation_count=gen_counts.get(p.id, 0),
sample_count=sample_counts.get(p.id, 0),
)
for p in profiles
]
return [VoiceProfileResponse.model_validate(p) for p in profiles]
async def update_profile(
@@ -256,38 +191,29 @@ async def update_profile(
) -> Optional[VoiceProfileResponse]:
"""
Update a voice profile.
Args:
profile_id: Profile ID
data: Updated profile data
db: Database session
Returns:
Updated profile or None if not found
Raises:
ValueError: If a profile with the same name already exists (different profile)
"""
profile = db.query(DBVoiceProfile).filter_by(id=profile_id).first()
if not profile:
return None
# Check if the new name conflicts with another profile
if profile.name != data.name:
existing_profile = db.query(DBVoiceProfile).filter_by(name=data.name).first()
if existing_profile:
raise ValueError(f"A profile with the name '{data.name}' already exists. Please choose a different name.")
# Update fields
profile.name = data.name
profile.description = data.description
profile.language = data.language
profile.updated_at = datetime.utcnow()
db.commit()
db.refresh(profile)
return _profile_to_response(profile)
return VoiceProfileResponse.model_validate(profile)
async def delete_profile(
@@ -401,7 +327,6 @@ async def create_voice_prompt_for_profile(
profile_id: str,
db: Session,
use_cache: bool = True,
engine: str = "qwen",
) -> dict:
"""
Create a combined voice prompt from all samples in a profile.
@@ -410,20 +335,17 @@ async def create_voice_prompt_for_profile(
profile_id: Profile ID
db: Database session
use_cache: Whether to use cached prompts
engine: TTS engine to create prompt for ("qwen" or "luxtts")
Returns:
Voice prompt dictionary
"""
from .backends import get_tts_backend_for_engine
# Get all samples for profile
samples = db.query(DBProfileSample).filter_by(profile_id=profile_id).all()
if not samples:
raise ValueError(f"No samples found for profile {profile_id}")
tts_model = get_tts_backend_for_engine(engine)
tts_model = get_tts_model()
if len(samples) == 1:
# Single sample - use directly
@@ -529,7 +451,7 @@ async def upload_avatar(
db.commit()
db.refresh(profile)
return _profile_to_response(profile)
return VoiceProfileResponse.model_validate(profile)
async def delete_avatar(
+1 -25
View File
@@ -9,39 +9,15 @@ alembic>=1.13.0
# ML models
torch>=2.1.0
transformers>=4.36.0,<=4.57.6
transformers>=4.36.0
accelerate>=0.26.0
huggingface_hub>=0.20.0
qwen-tts>=0.0.5
# LuxTTS (voice cloning engine)
# piper-phonemize needs custom index (no PyPI wheels)
--find-links https://k2-fsa.github.io/icefall/piper_phonemize.html
# linacodec is a git-only dep of Zipvoice (uv-only source, pip can't resolve it)
linacodec @ git+https://github.com/ysharma3501/LinaCodec.git
Zipvoice @ git+https://github.com/ysharma3501/LuxTTS.git
# Chatterbox TTS sub-dependencies (chatterbox-tts itself is installed
# --no-deps in the setup script because it pins numpy<1.26 / torch==2.6
# which are incompatible with Python 3.12+)
conformer>=0.3.2
diffusers>=0.29.0
omegaconf
pykakasi
resemble-perth>=1.0.1
s3tokenizer
spacy-pkuseg
pyloudnorm
# Audio processing
librosa>=0.10.0
soundfile>=0.12.0
numpy>=1.24.0
numba>=0.60.0,<0.61.0
pedalboard>=0.9.0
# HTTP client (for CUDA backend download)
httpx>=0.27.0
# Utilities
python-multipart>=0.0.6
-151
View File
@@ -6,14 +6,6 @@ absolute imports instead of relative imports.
"""
import sys
# Fast path: handle --version before any heavy imports so the Rust
# version check doesn't block for 30+ seconds loading torch etc.
if "--version" in sys.argv:
from backend import __version__
print(f"voicebox-server {__version__}")
sys.exit(0)
import logging
# Set up logging FIRST, before any imports that might fail
@@ -51,115 +43,6 @@ except Exception as e:
logger.error(f"Failed to import required modules: {e}", exc_info=True)
sys.exit(1)
_watchdog_disabled = False
def disable_watchdog():
"""Disable the parent watchdog so the server keeps running after parent exits."""
global _watchdog_disabled
_watchdog_disabled = True
# Ignore SIGHUP so the server survives when the parent Tauri process exits.
# On Unix, child processes receive SIGHUP when the parent's session leader
# exits, which would kill the server even though we want it to persist.
if sys.platform != "win32":
import signal
signal.signal(signal.SIGHUP, signal.SIG_IGN)
def _start_parent_watchdog(parent_pid, data_dir=None):
"""Monitor parent process and exit if it dies.
This is the clean shutdown mechanism: instead of the Tauri app trying to
forcefully kill the server (which spawns console windows on Windows),
the server monitors its parent and shuts itself down gracefully.
"""
import os
import signal
import threading
import time
# Set up a file logger so we can debug in production
watchdog_logger = logging.getLogger("watchdog")
if data_dir:
try:
log_dir = os.path.join(data_dir, "logs")
os.makedirs(log_dir, exist_ok=True)
fh = logging.FileHandler(os.path.join(log_dir, "watchdog.log"))
fh.setFormatter(logging.Formatter('%(asctime)s - %(message)s'))
watchdog_logger.addHandler(fh)
except Exception:
pass
watchdog_logger.setLevel(logging.INFO)
def _is_pid_alive(pid):
"""Check if a process with the given PID exists (cross-platform)."""
try:
if sys.platform == "win32":
import ctypes
kernel32 = ctypes.windll.kernel32
PROCESS_QUERY_LIMITED_INFORMATION = 0x1000
handle = kernel32.OpenProcess(PROCESS_QUERY_LIMITED_INFORMATION, False, pid)
if handle:
# Check if process has actually exited
STILL_ACTIVE = 259
exit_code = ctypes.c_ulong()
result = kernel32.GetExitCodeProcess(handle, ctypes.byref(exit_code))
kernel32.CloseHandle(handle)
if result and exit_code.value == STILL_ACTIVE:
return True
watchdog_logger.info(f"PID {pid}: exited with code {exit_code.value}")
return False
# OpenProcess failed — check if it's an access error (process exists
# but we can't open it) vs process not found
error = ctypes.GetLastError()
ACCESS_DENIED = 5
if error == ACCESS_DENIED:
return True # process exists, we just can't open it
watchdog_logger.info(f"PID {pid}: OpenProcess failed, error={error}")
return False
else:
os.kill(pid, 0)
return True
except (OSError, PermissionError):
return False
def _watch():
watchdog_logger.info(f"Parent watchdog started, monitoring PID {parent_pid}, server PID {os.getpid()}")
# Verify parent is alive before starting the loop
alive = _is_pid_alive(parent_pid)
watchdog_logger.info(f"Parent PID {parent_pid} initial check: alive={alive}")
if not alive:
watchdog_logger.warning(f"Parent PID {parent_pid} not found on first check — disabling watchdog")
return
while True:
if _watchdog_disabled:
watchdog_logger.info("Watchdog disabled (keep server running), stopping monitor")
return
if not _is_pid_alive(parent_pid):
# Parent is gone. Before shutting down, give the app a moment
# to send /watchdog/disable — there is a race where the Tauri
# RunEvent::Exit handler sends the disable request while we are
# mid-iteration (already past the _watchdog_disabled check above).
watchdog_logger.info(f"Parent process {parent_pid} gone, waiting for possible disable request...")
time.sleep(1)
if _watchdog_disabled:
watchdog_logger.info("Watchdog was disabled during grace period, keeping server alive")
return
watchdog_logger.info("Watchdog still enabled after grace period, shutting down server...")
if sys.platform == "win32":
# sys.exit triggers SystemExit, allowing uvicorn to run
# shutdown handlers. os.kill(SIGTERM) on Windows calls
# TerminateProcess which hard-kills without cleanup.
os._exit(0)
else:
os.kill(os.getpid(), signal.SIGTERM)
return
time.sleep(2)
t = threading.Thread(target=_watch, daemon=True)
t.start()
if __name__ == "__main__":
try:
parser = argparse.ArgumentParser(description="voicebox backend server")
@@ -181,41 +64,7 @@ if __name__ == "__main__":
default=None,
help="Data directory for database, profiles, and generated audio",
)
parser.add_argument(
"--parent-pid",
type=int,
default=None,
help="PID of parent process to monitor; server exits when parent dies",
)
parser.add_argument(
"--version",
action="store_true",
help="Print version and exit (handled above, kept for argparse help)",
)
args = parser.parse_args()
if args.parent_pid is not None and args.parent_pid <= 0:
parser.error("--parent-pid must be a positive integer")
# Detect backend variant from binary name
# voicebox-server-cuda → sets VOICEBOX_BACKEND_VARIANT=cuda
import os
binary_name = os.path.basename(sys.executable).lower()
if "cuda" in binary_name:
os.environ["VOICEBOX_BACKEND_VARIANT"] = "cuda"
logger.info("Backend variant: CUDA")
else:
os.environ["VOICEBOX_BACKEND_VARIANT"] = "cpu"
logger.info("Backend variant: CPU")
# Register parent watchdog to start after server is fully ready
if args.parent_pid is not None:
_parent_pid = args.parent_pid
_data_dir = args.data_dir
@app.on_event("startup")
async def _on_startup():
_start_parent_watchdog(_parent_pid, _data_dir)
logger.info(f"Parsed arguments: host={args.host}, port={args.port}, data_dir={args.data_dir}")
# Set data directory if provided
+183 -125
View File
@@ -20,55 +20,12 @@ from .models import (
StoryItemMove,
StoryItemTrim,
StoryItemSplit,
StoryItemVersionUpdate,
)
from .database import Story as DBStory, StoryItem as DBStoryItem, Generation as DBGeneration, VoiceProfile as DBVoiceProfile
from .history import _get_versions_for_generation
from .utils.audio import load_audio, save_audio
import numpy as np
def _build_item_detail(
item: DBStoryItem,
generation: DBGeneration,
profile_name: str,
db: Session,
) -> StoryItemDetail:
"""Build a StoryItemDetail with version info from a story item and its generation."""
versions, active_version_id = _get_versions_for_generation(generation.id, db)
# Resolve the audio path: if version_id is set, use that version's audio
audio_path = generation.audio_path
if item.version_id and versions:
for v in versions:
if v.id == item.version_id:
audio_path = v.audio_path
break
return StoryItemDetail(
id=item.id,
story_id=item.story_id,
generation_id=item.generation_id,
version_id=getattr(item, 'version_id', None),
start_time_ms=item.start_time_ms,
track=item.track,
trim_start_ms=getattr(item, 'trim_start_ms', 0),
trim_end_ms=getattr(item, 'trim_end_ms', 0),
created_at=item.created_at,
profile_id=generation.profile_id,
profile_name=profile_name,
text=generation.text,
language=generation.language,
audio_path=audio_path,
duration=generation.duration,
seed=generation.seed,
instruct=generation.instruct,
generation_created_at=generation.created_at,
versions=versions,
active_version_id=active_version_id,
)
async def create_story(
data: StoryCreate,
db: Session,
@@ -168,7 +125,26 @@ async def get_story(
# Build item details
item_details = []
for item, generation, profile_name in items:
item_details.append(_build_item_detail(item, generation, profile_name, db))
item_detail = StoryItemDetail(
id=item.id,
story_id=item.story_id,
generation_id=item.generation_id,
start_time_ms=item.start_time_ms,
track=item.track,
trim_start_ms=getattr(item, 'trim_start_ms', 0),
trim_end_ms=getattr(item, 'trim_end_ms', 0),
created_at=item.created_at,
profile_id=generation.profile_id,
profile_name=profile_name,
text=generation.text,
language=generation.language,
audio_path=generation.audio_path,
duration=generation.duration,
seed=generation.seed,
instruct=generation.instruct,
generation_created_at=generation.created_at,
)
item_details.append(item_detail)
response = StoryDetailResponse.model_validate(story)
response.items = item_details
@@ -274,16 +250,31 @@ async def add_item_to_story(
if existing:
# Return existing item
profile = db.query(DBVoiceProfile).filter_by(id=generation.profile_id).first()
return _build_item_detail(existing, generation, profile.name if profile else "Unknown", db)
# Get track from data or default to 0
track = data.track if data.track is not None else 0
return StoryItemDetail(
id=existing.id,
story_id=existing.story_id,
generation_id=existing.generation_id,
start_time_ms=existing.start_time_ms,
track=existing.track,
trim_start_ms=getattr(existing, 'trim_start_ms', 0),
trim_end_ms=getattr(existing, 'trim_end_ms', 0),
created_at=existing.created_at,
profile_id=generation.profile_id,
profile_name=profile.name if profile else "Unknown",
text=generation.text,
language=generation.language,
audio_path=generation.audio_path,
duration=generation.duration,
seed=generation.seed,
instruct=generation.instruct,
generation_created_at=generation.created_at,
)
# Calculate start_time_ms if not provided
if data.start_time_ms is not None:
start_time_ms = data.start_time_ms
else:
# Find the maximum end time on the target track only
# Find the maximum end time (start_time_ms + duration_ms) of existing items
existing_items = db.query(
DBStoryItem,
DBGeneration
@@ -291,11 +282,11 @@ async def add_item_to_story(
DBGeneration,
DBStoryItem.generation_id == DBGeneration.id
).filter(
DBStoryItem.story_id == story_id,
DBStoryItem.track == track,
DBStoryItem.story_id == story_id
).all()
if not existing_items:
# First item starts at 0
start_time_ms = 0
else:
max_end_time_ms = 0
@@ -306,6 +297,9 @@ async def add_item_to_story(
# Add 200ms gap after the last item
start_time_ms = max_end_time_ms + 200
# Get track from data or default to 0
track = data.track if data.track is not None else 0
# Create item
item = DBStoryItem(
id=str(uuid.uuid4()),
@@ -327,7 +321,25 @@ async def add_item_to_story(
# Get profile name
profile = db.query(DBVoiceProfile).filter_by(id=generation.profile_id).first()
return _build_item_detail(item, generation, profile.name if profile else "Unknown", db)
return StoryItemDetail(
id=item.id,
story_id=item.story_id,
generation_id=item.generation_id,
start_time_ms=item.start_time_ms,
track=item.track,
trim_start_ms=getattr(item, 'trim_start_ms', 0),
trim_end_ms=getattr(item, 'trim_end_ms', 0),
created_at=item.created_at,
profile_id=generation.profile_id,
profile_name=profile.name if profile else "Unknown",
text=generation.text,
language=generation.language,
audio_path=generation.audio_path,
duration=generation.duration,
seed=generation.seed,
instruct=generation.instruct,
generation_created_at=generation.created_at,
)
async def move_story_item(
@@ -376,7 +388,25 @@ async def move_story_item(
# Get profile name
profile = db.query(DBVoiceProfile).filter_by(id=generation.profile_id).first()
return _build_item_detail(item, generation, profile.name if profile else "Unknown", db)
return StoryItemDetail(
id=item.id,
story_id=item.story_id,
generation_id=item.generation_id,
start_time_ms=item.start_time_ms,
track=item.track,
trim_start_ms=getattr(item, 'trim_start_ms', 0),
trim_end_ms=getattr(item, 'trim_end_ms', 0),
created_at=item.created_at,
profile_id=generation.profile_id,
profile_name=profile.name if profile else "Unknown",
text=generation.text,
language=generation.language,
audio_path=generation.audio_path,
duration=generation.duration,
seed=generation.seed,
instruct=generation.instruct,
generation_created_at=generation.created_at,
)
async def remove_item_from_story(
@@ -465,7 +495,25 @@ async def trim_story_item(
# Get profile name
profile = db.query(DBVoiceProfile).filter_by(id=generation.profile_id).first()
return _build_item_detail(item, generation, profile.name if profile else "Unknown", db)
return StoryItemDetail(
id=item.id,
story_id=item.story_id,
generation_id=item.generation_id,
start_time_ms=item.start_time_ms,
track=item.track,
trim_start_ms=item.trim_start_ms,
trim_end_ms=item.trim_end_ms,
created_at=item.created_at,
profile_id=generation.profile_id,
profile_name=profile.name if profile else "Unknown",
text=generation.text,
language=generation.language,
audio_path=generation.audio_path,
duration=generation.duration,
seed=generation.seed,
instruct=generation.instruct,
generation_created_at=generation.created_at,
)
async def split_story_item(
@@ -520,7 +568,6 @@ async def split_story_item(
id=str(uuid.uuid4()),
story_id=story_id,
generation_id=item.generation_id, # Same generation, different trim
version_id=getattr(item, 'version_id', None), # Preserve pinned version
start_time_ms=item.start_time_ms + data.split_time_ms,
track=item.track,
trim_start_ms=absolute_split_ms,
@@ -543,10 +590,48 @@ async def split_story_item(
profile = db.query(DBVoiceProfile).filter_by(id=generation.profile_id).first()
profile_name = profile.name if profile else "Unknown"
return [
_build_item_detail(item, generation, profile_name, db),
_build_item_detail(new_item, generation, profile_name, db),
]
# Build response items
original_item_detail = StoryItemDetail(
id=item.id,
story_id=item.story_id,
generation_id=item.generation_id,
start_time_ms=item.start_time_ms,
track=item.track,
trim_start_ms=item.trim_start_ms,
trim_end_ms=item.trim_end_ms,
created_at=item.created_at,
profile_id=generation.profile_id,
profile_name=profile_name,
text=generation.text,
language=generation.language,
audio_path=generation.audio_path,
duration=generation.duration,
seed=generation.seed,
instruct=generation.instruct,
generation_created_at=generation.created_at,
)
new_item_detail = StoryItemDetail(
id=new_item.id,
story_id=new_item.story_id,
generation_id=new_item.generation_id,
start_time_ms=new_item.start_time_ms,
track=new_item.track,
trim_start_ms=new_item.trim_start_ms,
trim_end_ms=new_item.trim_end_ms,
created_at=new_item.created_at,
profile_id=generation.profile_id,
profile_name=profile_name,
text=generation.text,
language=generation.language,
audio_path=generation.audio_path,
duration=generation.duration,
seed=generation.seed,
instruct=generation.instruct,
generation_created_at=generation.created_at,
)
return [original_item_detail, new_item_detail]
async def duplicate_story_item(
@@ -589,7 +674,6 @@ async def duplicate_story_item(
id=str(uuid.uuid4()),
story_id=story_id,
generation_id=original_item.generation_id, # Same generation as original
version_id=getattr(original_item, 'version_id', None), # Preserve pinned version
start_time_ms=original_item.start_time_ms + effective_duration_ms + 200, # 200ms gap
track=original_item.track,
trim_start_ms=current_trim_start,
@@ -610,7 +694,25 @@ async def duplicate_story_item(
# Get profile name
profile = db.query(DBVoiceProfile).filter_by(id=generation.profile_id).first()
return _build_item_detail(new_item, generation, profile.name if profile else "Unknown", db)
return StoryItemDetail(
id=new_item.id,
story_id=new_item.story_id,
generation_id=new_item.generation_id,
start_time_ms=new_item.start_time_ms,
track=new_item.track,
trim_start_ms=new_item.trim_start_ms,
trim_end_ms=new_item.trim_end_ms,
created_at=new_item.created_at,
profile_id=generation.profile_id,
profile_name=profile.name if profile else "Unknown",
text=generation.text,
language=generation.language,
audio_path=generation.audio_path,
duration=generation.duration,
seed=generation.seed,
instruct=generation.instruct,
generation_created_at=generation.created_at,
)
async def update_story_item_times(
@@ -711,7 +813,25 @@ async def reorder_story_items(
current_time_ms += duration_ms + gap_ms
# Build the response item
updated_items.append(_build_item_detail(item, generation, profile_name, db))
updated_items.append(StoryItemDetail(
id=item.id,
story_id=item.story_id,
generation_id=item.generation_id,
start_time_ms=item.start_time_ms,
track=item.track,
trim_start_ms=getattr(item, 'trim_start_ms', 0),
trim_end_ms=getattr(item, 'trim_end_ms', 0),
created_at=item.created_at,
profile_id=generation.profile_id,
profile_name=profile_name,
text=generation.text,
language=generation.language,
audio_path=generation.audio_path,
duration=generation.duration,
seed=generation.seed,
instruct=generation.instruct,
generation_created_at=generation.created_at,
))
# Update story updated_at
story.updated_at = datetime.utcnow()
@@ -720,60 +840,6 @@ async def reorder_story_items(
return updated_items
async def set_story_item_version(
story_id: str,
item_id: str,
data: StoryItemVersionUpdate,
db: Session,
) -> Optional[StoryItemDetail]:
"""
Pin a story item to a specific generation version.
Args:
story_id: Story ID
item_id: Story item ID
data: Version update data (version_id or null for default)
db: Database session
Returns:
Updated item detail or None if not found
"""
item = db.query(DBStoryItem).filter_by(
id=item_id,
story_id=story_id,
).first()
if not item:
return None
generation = db.query(DBGeneration).filter_by(id=item.generation_id).first()
if not generation:
return None
# Validate version_id belongs to this generation if provided
if data.version_id:
from .database import GenerationVersion as DBGenerationVersion
version = db.query(DBGenerationVersion).filter_by(
id=data.version_id,
generation_id=item.generation_id,
).first()
if not version:
return None
item.version_id = data.version_id
# Update story updated_at
story = db.query(DBStory).filter_by(id=story_id).first()
if story:
story.updated_at = datetime.utcnow()
db.commit()
db.refresh(item)
profile = db.query(DBVoiceProfile).filter_by(id=generation.profile_id).first()
return _build_item_detail(item, generation, profile.name if profile else "Unknown", db)
async def export_story_audio(
story_id: str,
db: Session,
@@ -811,15 +877,7 @@ async def export_story_audio(
sample_rate = 24000 # Default sample rate
for item, generation in items:
# Resolve audio path: use pinned version if set, otherwise generation default
resolved_audio_path = generation.audio_path
if getattr(item, 'version_id', None):
from .database import GenerationVersion as DBGenerationVersion
version = db.query(DBGenerationVersion).filter_by(id=item.version_id).first()
if version:
resolved_audio_path = version.audio_path
audio_path = Path(resolved_audio_path)
audio_path = Path(generation.audio_path)
if not audio_path.exists():
continue
+137
View File
@@ -0,0 +1,137 @@
#!/usr/bin/env python3
"""
Test CUDA binary compression to verify it fits under GitHub's 2GB release asset limit.
Usage:
python test_cuda_compression.py [path/to/voicebox-server-cuda.exe]
If no path provided, looks for the binary in ./dist/
"""
import os
import sys
import subprocess
from pathlib import Path
def format_size(bytes_size):
"""Format bytes into human-readable size."""
for unit in ['B', 'KB', 'MB', 'GB']:
if bytes_size < 1024.0:
return f"{bytes_size:.2f} {unit}"
bytes_size /= 1024.0
return f"{bytes_size:.2f} TB"
def get_file_size(filepath):
"""Get file size in bytes."""
return os.path.getsize(filepath)
def compress_with_7z(input_file, output_file):
"""Compress file using 7z with maximum compression."""
print(f"\nCompressing with 7z (maximum compression)...")
print(f"This may take several minutes for a ~2.5GB file...\n")
cmd = [
'7z', 'a',
'-t7z', # 7z format
'-m0=lzma2', # LZMA2 compression
'-mx=9', # Maximum compression
'-mfb=64', # Fast bytes
'-md=32m', # Dictionary size
'-ms=on', # Solid archive
output_file,
input_file
]
try:
subprocess.run(cmd, check=True, capture_output=True, text=True)
return True
except subprocess.CalledProcessError as e:
print(f"Error during compression: {e}")
print(f"stderr: {e.stderr}")
return False
except FileNotFoundError:
print("ERROR: 7z not found. Please install 7-Zip:")
print(" Windows: https://www.7-zip.org/download.html")
print(" macOS: brew install p7zip")
print(" Linux: apt-get install p7zip-full")
return False
def main():
# Find CUDA binary
if len(sys.argv) > 1:
cuda_binary = Path(sys.argv[1])
else:
# Look in dist directory
dist_dir = Path(__file__).parent / 'dist'
candidates = list(dist_dir.glob('voicebox-server-cuda*.exe'))
if not candidates:
print("ERROR: CUDA binary not found in ./dist/")
print("Please provide the path as an argument:")
print(" python test_cuda_compression.py path/to/voicebox-server-cuda.exe")
sys.exit(1)
cuda_binary = candidates[0]
if not cuda_binary.exists():
print(f"ERROR: File not found: {cuda_binary}")
sys.exit(1)
print("=" * 70)
print("CUDA Binary Compression Test")
print("=" * 70)
# Get original size
original_size = get_file_size(cuda_binary)
print(f"\nOriginal file: {cuda_binary.name}")
print(f"Original size: {format_size(original_size)} ({original_size:,} bytes)")
# Check if already over 2GB
github_limit = 2 * 1024 * 1024 * 1024 # 2GB in bytes
print(f"GitHub limit: {format_size(github_limit)} ({github_limit:,} bytes)")
if original_size > github_limit:
print(f"\n[WARNING] Original file exceeds GitHub limit by {format_size(original_size - github_limit)}")
else:
print(f"\n[OK] Original file is under GitHub limit")
# Compress
output_file = cuda_binary.parent / f"{cuda_binary.stem}.7z"
if output_file.exists():
print(f"\nRemoving existing compressed file: {output_file.name}")
output_file.unlink()
success = compress_with_7z(cuda_binary, output_file)
if not success:
sys.exit(1)
# Check compressed size
compressed_size = get_file_size(output_file)
compression_ratio = (1 - compressed_size / original_size) * 100
print("\n" + "=" * 70)
print("Compression Results")
print("=" * 70)
print(f"\nCompressed file: {output_file.name}")
print(f"Compressed size: {format_size(compressed_size)} ({compressed_size:,} bytes)")
print(f"Compression ratio: {compression_ratio:.1f}%")
print(f"Space saved: {format_size(original_size - compressed_size)}")
if compressed_size <= github_limit:
print(f"\n[SUCCESS] Compressed file fits under GitHub's 2GB limit!")
print(f" Margin: {format_size(github_limit - compressed_size)} remaining")
else:
print(f"\n[FAILED] Compressed file still exceeds GitHub limit")
print(f" Over by: {format_size(compressed_size - github_limit)}")
print(f"\n Alternative: Host on external storage (S3, Azure Blob, etc.)")
print("\n" + "=" * 70)
if __name__ == '__main__':
main()
+86
View File
@@ -0,0 +1,86 @@
#!/bin/bash
# Test R2 upload locally before running in CI
set -e
echo "============================================================"
echo "Cloudflare R2 Upload Test"
echo "============================================================"
# Check for required environment variables
if [ -z "$AWS_ACCESS_KEY_ID" ] || [ -z "$AWS_SECRET_ACCESS_KEY" ] || [ -z "$R2_ENDPOINT" ]; then
echo "ERROR: Missing required environment variables"
echo ""
echo "Please set:"
echo " export AWS_ACCESS_KEY_ID='your-r2-access-key-id'"
echo " export AWS_SECRET_ACCESS_KEY='your-r2-secret-access-key'"
echo " export R2_ENDPOINT='https://your-account-id.r2.cloudflarestorage.com'"
echo ""
exit 1
fi
# Check for AWS CLI
if ! command -v aws &> /dev/null; then
echo "Installing AWS CLI..."
pip install awscli
fi
# Find CUDA binary
CUDA_BINARY=$(ls dist/voicebox-server-cuda*.exe 2>/dev/null | head -1)
if [ -z "$CUDA_BINARY" ]; then
echo "ERROR: CUDA binary not found in dist/"
echo "Run: bash build_cuda.bat"
exit 1
fi
echo ""
echo "Found CUDA binary: $CUDA_BINARY"
echo "Size: $(du -h "$CUDA_BINARY" | cut -f1)"
echo ""
# Test version
VERSION="v0.1.12-test"
PLATFORM="x86_64-pc-windows-msvc"
FILENAME="voicebox-server-cuda-${PLATFORM}.exe"
echo "Test upload configuration:"
echo " Version: $VERSION"
echo " Platform: $PLATFORM"
echo " Endpoint: $R2_ENDPOINT"
echo " Bucket: voicebox"
echo " Path: cuda/$VERSION/$FILENAME"
echo ""
read -p "Proceed with upload? (y/n) " -n 1 -r
echo
if [[ ! $REPLY =~ ^[Yy]$ ]]; then
echo "Aborted."
exit 1
fi
echo ""
echo "Uploading to R2..."
aws s3 cp "$CUDA_BINARY" \
"s3://voicebox/cuda/${VERSION}/${FILENAME}" \
--endpoint-url "$R2_ENDPOINT" \
--acl public-read
if [ $? -eq 0 ]; then
echo ""
echo "============================================================"
echo "Upload successful!"
echo "============================================================"
echo ""
echo "Download URL:"
echo "https://downloads.voicebox.sh/cuda/${VERSION}/${FILENAME}"
echo ""
echo "Test with:"
echo "curl -I https://downloads.voicebox.sh/cuda/${VERSION}/${FILENAME}"
echo ""
else
echo ""
echo "Upload failed!"
exit 1
fi

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