debpalashandClaude Opus 4.7
994c6cf065
- Add setup router (backend/api/routers/setup.py) for first-run wizard: system checks, engine probes, model downloads with progress - Add translation engines service with pluggable backends - Add utils/hf_progress for HuggingFace download progress streaming - Add PyInstaller runtime hooks (numpy compat, torch compiler disable) - Global exception handler short-circuits h11 LocalProtocolError and Starlette ClientDisconnect with HTTP 499 to silence noisy stack traces when users scrub or cancel video mid-stream - /dub/download-mp3 accepts bitrate query param (clamped 64–320kbps) - Refactor ASR/TTS backends, dub pipeline, engine management - Update backend.spec for PyInstaller packaging - Bump pyproject version to 0.2.0; refresh uv.lock Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
157 lines
5.3 KiB
TOML
157 lines
5.3 KiB
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "omnivoice"
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version = "0.2.0"
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description = "OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models"
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readme = "README.md"
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license = "Apache-2.0"
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requires-python = ">=3.11"
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authors = [{name = "Han Zhu"}]
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keywords = [
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"tts",
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"text-to-speech",
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"speech-synthesis",
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"zero-shot",
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"multilingual",
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"diffusion",
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"voice-cloning",
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]
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classifiers = [
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"Intended Audience :: Science/Research",
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"Intended Audience :: Developers",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Multimedia :: Sound/Audio :: Speech",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3",
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]
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dependencies = [
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"torch>=2.4",
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"torchaudio>=2.4",
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"transformers>=5.3.0",
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"accelerate",
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"pydub",
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"gradio",
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"tensorboardX",
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"webdataset",
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"numpy",
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"soundfile",
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"psutil>=7.2.2",
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# Pinned to 3.x — pyannote 4.x removed `use_auth_token` from `Inference`
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# which whisperx 3.4.2 still passes, blowing up `whisperx.load_model()`
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# with TypeError. whisperx tests against pyannote 3.3.2+, so we track
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# that range and revisit when whisperx releases a 4-compatible build.
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"pyannote-audio>=3.3.2,<4.0",
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"pyinstaller>=6.19.0",
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"imageio-ffmpeg>=0.6.0",
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"pedalboard>=0.9.14",
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# Primary ASR — cross-platform, CTranslate2-based under the hood. WhisperX
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# adds wav2vec2 forced alignment (±10-30 ms word timing vs Whisper's own
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# ±100-300 ms) which directly improves lip-sync on the dub pipeline.
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# Pulls `faster-whisper` transitively, so a WhisperX install also provides
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# the plain faster-whisper backend as a fallback for rare-language audio
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# where no wav2vec2 alignment model exists.
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"whisperx>=3.1.0",
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"faster-whisper>=1.0.0",
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# Apple Silicon-only speedup; skipped everywhere else so `uv sync` can
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# succeed on Linux/Windows/mac-Intel (no mlx wheels exist for those).
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"mlx-whisper>=0.2.1 ; sys_platform == 'darwin' and platform_machine == 'arm64'",
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# Apple Silicon-only rich TTS library — 14+ engines (Kokoro, CSM, Dia,
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# Qwen3-TTS, Chatterbox, MeloTTS, OuteTTS, Spark, Higgs-Audio, Voxtral,
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# …). Gives mac-ARM users a broad engine picker in Settings. Also gated
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# by platform markers because it depends on mlx (Apple Silicon only).
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"mlx-audio>=0.3.0 ; sys_platform == 'darwin' and platform_machine == 'arm64'",
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"demucs>=4.0.1",
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"yt-dlp>=2024.12.13",
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"alembic>=1.13",
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# Lightweight English TTS "Turbo" tier — 25-80 MB ONNX model, 8 preset
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# voices (Bella, Jasper, Luna, Bruno, Rosie, Hugo, Kiki, Leo), CPU
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# realtime on any platform. Complements OmniVoice's 2.4 GB multilingual
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# zero-shot clone: when the caller just needs fast English narration with
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# no reference sample, this is ~100× smaller + ~10× faster. Pinned to
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# the exact wheel because the project is in developer preview and the
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# 0.x API is explicitly unstable.
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"kittentts @ https://github.com/KittenML/KittenTTS/releases/download/0.8.1/kittentts-0.8.1-py3-none-any.whl",
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]
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[project.optional-dependencies]
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eval = [
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"jiwer==3.1.0", # WER
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"librosa", # Audio processing
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"s3prl", # Speech representation (HuBERT etc.)
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"funasr", # ASR models
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"zhconv", # Chinese character normalization
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"zhon", # Chinese punctuation
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"unidecode", # Unicode normalization
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]
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api = [
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"fastapi",
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"uvicorn",
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"python-multipart"
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]
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ui = [
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"gradio",
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"gradio_client",
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"requests",
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]
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[project.scripts]
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omnivoice-infer = "omnivoice.cli.infer:main"
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omnivoice-infer-batch = "omnivoice.cli.infer_batch:main"
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omnivoice-demo = "omnivoice.cli.demo:main"
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omnivoice-dub = "omnivoice.cli.dub:main"
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[project.urls]
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Homepage = "https://github.com/k2-fsa/OmniVoice"
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Repository = "https://github.com/k2-fsa/OmniVoice"
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"Bug Tracker" = "https://github.com/k2-fsa/OmniVoice/issues"
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[tool.uv.sources]
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# Install PyTorch with CUDA support on Linux/Windows (CUDA doesn't exist for Mac).
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# NOTE: We must explicitly request them as `dependencies` above. These improved
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# versions will not be selected if they're only third-party dependencies.
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torch = [
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{ index = "pytorch-cuda", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
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]
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torchaudio = [
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{ index = "pytorch-cuda", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
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]
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[[tool.uv.index]]
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name = "pytorch-cuda"
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# Use PyTorch built for NVIDIA Toolkit version 12.8.
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# Available versions: https://pytorch.org/get-started/locally/
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url = "https://download.pytorch.org/whl/cu128"
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# Only use this index when explicitly requested by `tool.uv.sources`.
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explicit = true
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[tool.uv]
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constraint-dependencies = [
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"torch==2.8.0",
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"torchaudio==2.8.0",
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]
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[tool.hatch.metadata]
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# Needed so the KittenTTS wheel-URL dep in `project.dependencies` is accepted
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# by hatchling's metadata validator. KittenTTS isn't on PyPI (dev preview),
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# so pulling it via GH Releases URL is the only option today.
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allow-direct-references = true
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[tool.hatch.build.targets.sdist]
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include = ["omnivoice"]
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[tool.hatch.build.targets.wheel]
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packages = ["omnivoice"]
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[dependency-groups]
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dev = [
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"httpx>=0.28.1",
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"pytest>=9.0.3",
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"pytest-asyncio>=1.3.0",
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]
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