Production deployment hardening, dub OOM recovery, new SoniTranslate sidecar engine, ASR backend expansion. - Dub generation OOM recovery: backend/api/routers/dub_generate.py:163-209 adds OOM detection + one retry with reduced nstep - New SoniTranslate sidecar engine: backend/api/routers/sonitranslate.py + backend/services/sonitranslate.py (subprocess-based dubbing pipeline, opt-in) - ASR backends expansion: backend/services/asr_backend.py adds NeMo Parakeet TDT, Moonshine, additional Whisper variants; new GET /system/asr-backends endpoint - Dub UI polish: tighter spacing in DubSegmentRow.css, DubTab.css Issue #78 (speaker diarization mis-assignment) NOT addressed by this PR — the bundled diarization changes are in the new SoniTranslate sidecar, not the existing pyannote pipeline. Keeping #78 open. No DB schema changes, no migration. Backward-compatible for existing user data.
190 lines
6.7 KiB
TOML
190 lines
6.7 KiB
TOML
[build-system]
|
||
requires = ["hatchling"]
|
||
build-backend = "hatchling.build"
|
||
|
||
[project]
|
||
name = "omnivoice"
|
||
version = "0.2.7"
|
||
description = "OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models"
|
||
readme = "README.md"
|
||
license = "Apache-2.0"
|
||
requires-python = ">=3.11"
|
||
authors = [{name = "Han Zhu"}]
|
||
keywords = [
|
||
"tts",
|
||
"text-to-speech",
|
||
"speech-synthesis",
|
||
"zero-shot",
|
||
"multilingual",
|
||
"diffusion",
|
||
"voice-cloning",
|
||
]
|
||
classifiers = [
|
||
"Intended Audience :: Science/Research",
|
||
"Intended Audience :: Developers",
|
||
|
||
"Topic :: Scientific/Engineering :: Artificial Intelligence",
|
||
"Topic :: Multimedia :: Sound/Audio :: Speech",
|
||
|
||
"Operating System :: OS Independent",
|
||
"Programming Language :: Python :: 3",
|
||
]
|
||
dependencies = [
|
||
"torch>=2.4",
|
||
"torchaudio>=2.4",
|
||
"transformers>=5.3.0",
|
||
"accelerate",
|
||
"pydub",
|
||
"gradio",
|
||
"tensorboardX",
|
||
"webdataset",
|
||
"numpy",
|
||
"soundfile",
|
||
# pkg_resources is used by whisperx/faster-whisper at runtime.
|
||
# On Python 3.12+ it's no longer bundled by default — pin a modern
|
||
# setuptools to guarantee it's present (fixes #58).
|
||
"setuptools>=75.0",
|
||
"psutil>=7.2.2",
|
||
# Pinned to 3.x — pyannote 4.x removed `use_auth_token` from `Inference`
|
||
# which whisperx 3.4.2 still passes, blowing up `whisperx.load_model()`
|
||
# with TypeError. whisperx tests against pyannote 3.3.2+, so we track
|
||
# that range and revisit when whisperx releases a 4-compatible build.
|
||
"pyannote-audio>=3.3.2,<4.0",
|
||
"pyinstaller>=6.19.0",
|
||
"imageio-ffmpeg>=0.6.0",
|
||
"pedalboard>=0.9.14",
|
||
# Primary ASR — cross-platform, CTranslate2-based under the hood. WhisperX
|
||
# adds wav2vec2 forced alignment (±10-30 ms word timing vs Whisper's own
|
||
# ±100-300 ms) which directly improves lip-sync on the dub pipeline.
|
||
# Pulls `faster-whisper` transitively, so a WhisperX install also provides
|
||
# the plain faster-whisper backend as a fallback for rare-language audio
|
||
# where no wav2vec2 alignment model exists.
|
||
"whisperx>=3.1.0",
|
||
"faster-whisper>=1.0.0",
|
||
# Apple Silicon-only speedup; skipped everywhere else so `uv sync` can
|
||
# succeed on Linux/Windows/mac-Intel (no mlx wheels exist for those).
|
||
"mlx-whisper>=0.2.1 ; sys_platform == 'darwin' and platform_machine == 'arm64'",
|
||
# Apple Silicon-only rich TTS library — 14+ engines (Kokoro, CSM, Dia,
|
||
# Qwen3-TTS, Chatterbox, MeloTTS, OuteTTS, Spark, Higgs-Audio, Voxtral,
|
||
# …). Gives mac-ARM users a broad engine picker in Settings. Also gated
|
||
# by platform markers because it depends on mlx (Apple Silicon only).
|
||
"mlx-audio>=0.3.0 ; sys_platform == 'darwin' and platform_machine == 'arm64'",
|
||
"demucs>=4.0.1",
|
||
"yt-dlp>=2024.12.13",
|
||
"alembic>=1.13",
|
||
# Lightweight English TTS "Turbo" tier — 25-80 MB ONNX model, 8 preset
|
||
# voices (Bella, Jasper, Luna, Bruno, Rosie, Hugo, Kiki, Leo), CPU
|
||
# realtime on any platform. Complements OmniVoice's 2.4 GB multilingual
|
||
# zero-shot clone: when the caller just needs fast English narration with
|
||
# no reference sample, this is ~100× smaller + ~10× faster. Pinned to
|
||
# the exact wheel because the project is in developer preview and the
|
||
# 0.x API is explicitly unstable.
|
||
"kittentts @ https://github.com/KittenML/KittenTTS/releases/download/0.8.1/kittentts-0.8.1-py3-none-any.whl",
|
||
# Invisible audio watermarking — embeds imperceptible neural watermarks
|
||
# in AI-generated speech for provenance detection (SynthID-like).
|
||
# MIT license, ~5ms per segment on CPU, 16-bit message payload.
|
||
"audioseal>=0.1.3",
|
||
# API server — always needed for the Studio UI.
|
||
"fastapi",
|
||
"scalar-fastapi",
|
||
"uvicorn",
|
||
"python-multipart",
|
||
# Required by uvicorn for WebSocket support (real-time sidebar events).
|
||
"websockets",
|
||
# Offline translation — listed as builtin in the engine registry so the
|
||
# "Argos (Local, Fast)" option in the Dub tab works out-of-the-box.
|
||
"argostranslate>=1.9.0",
|
||
]
|
||
|
||
[project.optional-dependencies]
|
||
|
||
eval = [
|
||
"jiwer==3.1.0", # WER
|
||
"librosa", # Audio processing
|
||
"s3prl", # Speech representation (HuBERT etc.)
|
||
"funasr", # ASR models
|
||
"zhconv", # Chinese character normalization
|
||
"zhon", # Chinese punctuation
|
||
"unidecode", # Unicode normalization
|
||
]
|
||
ui = [
|
||
"gradio",
|
||
"gradio_client",
|
||
"requests",
|
||
]
|
||
|
||
[project.scripts]
|
||
omnivoice-infer = "omnivoice.cli.infer:main"
|
||
omnivoice-infer-batch = "omnivoice.cli.infer_batch:main"
|
||
omnivoice-demo = "omnivoice.cli.demo:main"
|
||
omnivoice-dub = "omnivoice.cli.dub:main"
|
||
|
||
[project.urls]
|
||
Homepage = "https://github.com/k2-fsa/OmniVoice"
|
||
Repository = "https://github.com/k2-fsa/OmniVoice"
|
||
"Bug Tracker" = "https://github.com/k2-fsa/OmniVoice/issues"
|
||
|
||
[tool.uv.sources]
|
||
# Install PyTorch with CUDA support on Linux/Windows (CUDA doesn't exist for Mac).
|
||
# NOTE: We must explicitly request them as `dependencies` above. These improved
|
||
# versions will not be selected if they're only third-party dependencies.
|
||
torch = [
|
||
{ index = "pytorch-cuda", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
|
||
]
|
||
torchaudio = [
|
||
{ index = "pytorch-cuda", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
|
||
]
|
||
|
||
[[tool.uv.index]]
|
||
name = "pytorch-cuda"
|
||
# Use PyTorch built for NVIDIA Toolkit version 12.8.
|
||
# Available versions: https://pytorch.org/get-started/locally/
|
||
url = "https://download.pytorch.org/whl/cu128"
|
||
# Only use this index when explicitly requested by `tool.uv.sources`.
|
||
explicit = true
|
||
|
||
[tool.uv]
|
||
constraint-dependencies = [
|
||
"torch==2.8.0",
|
||
"torchaudio==2.8.0",
|
||
]
|
||
|
||
[tool.hatch.metadata]
|
||
# Needed so the KittenTTS wheel-URL dep in `project.dependencies` is accepted
|
||
# by hatchling's metadata validator. KittenTTS isn't on PyPI (dev preview),
|
||
# so pulling it via GH Releases URL is the only option today.
|
||
allow-direct-references = true
|
||
|
||
[tool.hatch.build.targets.sdist]
|
||
include = ["omnivoice"]
|
||
|
||
[tool.hatch.build.targets.wheel]
|
||
packages = ["omnivoice"]
|
||
|
||
[dependency-groups]
|
||
dev = [
|
||
"httpx>=0.28.1",
|
||
"pytest>=9.0.3",
|
||
"pytest-asyncio>=1.3.0",
|
||
"pytest-cov>=6.0",
|
||
]
|
||
|
||
[tool.pytest.ini_options]
|
||
# Bare `pytest` would otherwise walk into `research/` (1.2 GB of vendored
|
||
# upstream projects, each with its own test_*.py that calls sys.exit at
|
||
# module level) and INTERNALERROR. `backend/tests/` runs separately because
|
||
# it stubs `core.config` in sys.modules, which pollutes import state for
|
||
# other modules in the same session.
|
||
testpaths = ["tests"]
|
||
norecursedirs = [
|
||
"research",
|
||
"omnivoice/training",
|
||
"omnivoice/eval",
|
||
"frontend",
|
||
"deploy",
|
||
".venv",
|
||
"node_modules",
|
||
"omnivoice_data",
|
||
"backend/omnivoice_data",
|
||
]
|