docs: address PR review feedback

- architecture.mdx: fix backends/ file list (remove nonexistent qwen_backend.py, rename tada_backend.py → hume_backend.py)
- model-management.mdx: Kokoro language count 9 → 8 (matches ModelConfig)
- model-management.mdx: ProgressManager path services/ → utils/
- tts-generation.mdx: ModelConfig example uses field(default_factory=...) — mutable default would raise at runtime
- tts-generation.mdx: "1080p samples" → "on CUDA" (1080p is video, not audio)
- PROJECT_STATUS.md: replace ASCII architecture diagram with prose (matches no-ASCII-art rule)

Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>

docs/PROJECT_STATUS.md

@@ -19,36 +19,20 @@
 
 ## Architecture Overview
 
-```
+**Tauri shell (Rust)** hosts a **React frontend** (`app/`) that talks over HTTP on `localhost:17493` to a **FastAPI backend** (`backend/`).
-┌─────────────────────────────────────────────────────┐
+
-│  Tauri Shell (Rust)                                 │
+The backend exposes:
-│  ┌───────────────────────────────────────────────┐  │
+
-│  │  React Frontend (app/)                        │  │
+- **`TTSBackend` Protocol** with seven concrete engine implementations:
-│  │  Zustand stores · API client · Generation UI  │  │
+  - Qwen3-TTS (PyTorch or MLX depending on platform)
-│  │  Stories Editor · Voice Profiles · Model Mgmt │  │
+  - Qwen CustomVoice (predefined speakers with instruct)
-│  └──────────────────────┬────────────────────────┘  │
+  - LuxTTS (fast, CPU-friendly)
-│                         │ HTTP :17493                │
+  - Chatterbox Multilingual (23 languages)
-│  ┌──────────────────────▼────────────────────────┐  │
+  - Chatterbox Turbo (English, paralinguistic tags)
-│  │  FastAPI Backend (backend/)                   │  │
+  - TADA (1B English, 3B multilingual via HumeAI)
-│  │  ┌─────────────────────────────────────────┐  │  │
+  - Kokoro 82M (pre-built voices, CPU realtime)
-│  │  │ TTSBackend Protocol                     │  │  │
+- **`STTBackend` Protocol** for Whisper (PyTorch or MLX-Whisper)
-│  │  │  ┌──────────┐ ┌───────┐ ┌───────────┐  │  │  │
+- **Profiles / History / Stories** services for persistence and timeline editing
-│  │  │  │ Qwen3-TTS│ │LuxTTS │ │Chatterbox │  │  │  │
-│  │  │  │(Py/MLX)  │ │       │ │(MTL+Turbo)│  │  │  │
-│  │  │  └──────────┘ └───────┘ └───────────┘  │  │  │
-│  │  │  ┌──────────┐ ┌────────┐ ┌──────────┐ │  │  │
-│  │  │  │ TADA     │ │Kokoro  │ │Qwen      │ │  │  │
-│  │  │  │(1B / 3B) │ │(82M)   │ │CustomVoice│ │  │  │
-│  │  │  └──────────┘ └────────┘ └──────────┘ │  │  │
-│  │  └─────────────────────────────────────────┘  │  │
-│  │  ┌───────────┐  ┌─────────┐                   │  │
-│  │  │ STTBackend│  │ Profiles│                   │  │
-│  │  │ (Whisper) │  │ History │                   │  │
-│  │  └───────────┘  │ Stories │                   │  │
-│  │                  └─────────┘                   │  │
-│  └───────────────────────────────────────────────┘  │
-└─────────────────────────────────────────────────────┘
-```
 
 ### Key Files
 

docs/content/docs/developer/architecture.mdx

@@ -83,12 +83,11 @@ These two layers communicate via HTTP on `localhost:17493`, with the frontend ma
       <File name="base.py" />
       <File name="pytorch_backend.py" />
       <File name="mlx_backend.py" />
-      <File name="qwen_backend.py" />
       <File name="qwen_custom_voice_backend.py" />
       <File name="luxtts_backend.py" />
       <File name="chatterbox_backend.py" />
       <File name="chatterbox_turbo_backend.py" />
-      <File name="tada_backend.py" />
+      <File name="hume_backend.py" />
       <File name="kokoro_backend.py" />
     </Folder>
     <Folder name="database">

docs/content/docs/developer/model-management.mdx

@@ -26,7 +26,7 @@ Every model is described by a `ModelConfig` entry in `backend/backends/__init__.
 | **Chatterbox Turbo** | `chatterbox_turbo` | `ResembleAI/chatterbox-turbo` | 1.5 GB | ~1.5 GB | English |
 | **TADA 1B** | `tada` | `HumeAI/tada-1b` | 4 GB | ~4 GB | English |
 | **TADA 3B Multilingual** | `tada` | `HumeAI/tada-3b-ml` | 8 GB | ~8 GB | 10 |
-| **Kokoro 82M** | `kokoro` | `hexgrad/Kokoro-82M` | 350 MB | ~150 MB | 9 |
+| **Kokoro 82M** | `kokoro` | `hexgrad/Kokoro-82M` | 350 MB | ~150 MB | 8 |
 
 On Apple Silicon, Qwen TTS uses MLX-optimized repos from `mlx-community` instead of the PyTorch repos. The backend picks automatically via `get_backend_type()`.
 
@@ -59,7 +59,7 @@ Set `VOICEBOX_MODELS_DIR` to override.
 
 Downloads stream progress to the frontend via Server-Sent Events. The progress pipeline has three pieces:
 
-**`ProgressManager`** (`backend/services/progress.py`) — in-memory map of `model_name → {current, total, filename, status}`.
+**`ProgressManager`** (`backend/utils/progress.py`) — in-memory map of `model_name → {current, total, filename, status}`.
 
 **`HFProgressTracker`** — context manager that intercepts HuggingFace Hub downloads to emit byte-level progress. Needed because `huggingface_hub` silently disables tqdm in frozen PyInstaller builds.
 

docs/content/docs/developer/tts-generation.mdx

@@ -50,7 +50,7 @@ class ModelConfig:
     size_mb: int = 0
     needs_trim: bool = False
     supports_instruct: bool = False
-    languages: list[str] = ["en"]
+    languages: list[str] = field(default_factory=lambda: ["en"])
 ```
 
 Registry helpers in `backends/__init__.py` replace what used to be per-engine `if/elif` chains:
@@ -223,7 +223,7 @@ The model management API (`/models/load`, `/models/unload`) lets users free VRAM
 - **Voice prompt caching** saves ~1-2s on repeated generations from the same profile.
 - **Model pinning** — the first load is slow (download + load), subsequent generations reuse the cached model in memory.
 
-### Per-engine VRAM (approximate, 1080p samples)
+### Per-engine VRAM (approximate, on CUDA)
 
 | Engine | VRAM |
 |--------|------|