pyproject.toml

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "whisperlivekit"
version = "0.2.5"
description = "Real-time, Fully Local Whisper's Speech-to-Text and Speaker Diarization"
readme = "README.md"
authors = [
    { name = "Quentin Fuxa" }
]
license = { file = "LICENSE" }
requires-python = ">=3.9"
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Multimedia :: Sound/Audio :: Speech"
]
dependencies = [
    "fastapi",
    "librosa",
    "soundfile",
    "faster-whisper",
    "uvicorn",
    "websockets"
]

[project.optional-dependencies]
diarization = ["diart"]
vac = ["torch"]
sentence = ["mosestokenizer", "wtpsplit"]
whisper = ["whisper"]
whisper-timestamped = ["whisper-timestamped"]
mlx-whisper = ["mlx-whisper"]
openai = ["openai"]
simulstreaming = [
    "torch",
    "tqdm",
    "tiktoken",
    'triton>=2.0.0,<3; platform_machine == "x86_64" and (sys_platform == "linux" or sys_platform == "linux2")'
]

[project.urls]
Homepage = "https://github.com/QuentinFuxa/WhisperLiveKit"

[project.scripts]
whisperlivekit-server = "whisperlivekit.basic_server:main"

[tool.setuptools]
packages = ["whisperlivekit", "whisperlivekit.diarization", "whisperlivekit.simul_whisper", "whisperlivekit.simul_whisper.whisper", "whisperlivekit.simul_whisper.whisper.assets", "whisperlivekit.simul_whisper.whisper.normalizers", "whisperlivekit.web", "whisperlivekit.whisper_streaming_custom"]

[tool.setuptools.package-data]
whisperlivekit = ["web/*.html"]
"whisperlivekit.simul_whisper.whisper.assets" = ["*.tiktoken", "*.npz"]