mirror of
https://github.com/QuentinFuxa/WhisperLiveKit.git
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setup.py to pyproject.toml. Remove <2.0.0 condition on numpy dep
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59
pyproject.toml
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59
pyproject.toml
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[build-system]
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requires = ["setuptools>=61.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "whisperlivekit"
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version = "0.2.4"
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description = "Real-time, Fully Local Whisper's Speech-to-Text and Speaker Diarization"
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readme = "README.md"
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authors = [
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{ name = "Quentin Fuxa" }
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]
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license = { file = "LICENSE" }
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requires-python = ">=3.9"
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classifiers = [
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Multimedia :: Sound/Audio :: Speech"
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]
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dependencies = [
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"fastapi",
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"librosa",
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"soundfile",
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"faster-whisper",
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"uvicorn",
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"websockets"
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]
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[project.optional-dependencies]
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diarization = ["diart"]
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vac = ["torch"]
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sentence = ["mosestokenizer", "wtpsplit"]
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whisper = ["whisper"]
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whisper-timestamped = ["whisper-timestamped"]
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mlx-whisper = ["mlx-whisper"]
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openai = ["openai"]
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simulstreaming = [
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"torch",
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"tqdm",
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"tiktoken",
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'triton>=2.0.0,<3; platform_machine == "x86_64" and (sys_platform == "linux" or sys_platform == "linux2")'
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]
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[project.urls]
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Homepage = "https://github.com/QuentinFuxa/WhisperLiveKit"
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[project.scripts]
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whisperlivekit-server = "whisperlivekit.basic_server:main"
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[tool.setuptools]
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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"]
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[tool.setuptools.package-data]
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whisperlivekit = ["web/*.html"]
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"whisperlivekit.simul_whisper.whisper.assets" = ["*.tiktoken", "*.npz"]
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54
setup.py
54
setup.py
@@ -1,54 +0,0 @@
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from setuptools import setup, find_packages
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setup(
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name="whisperlivekit",
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version="0.2.4.dev0",
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description="Real-time, Fully Local Whisper's Speech-to-Text and Speaker Diarization",
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long_description=open("README.md", "r", encoding="utf-8").read(),
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long_description_content_type="text/markdown",
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author="Quentin Fuxa",
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url="https://github.com/QuentinFuxa/WhisperLiveKit",
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packages=find_packages(),
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install_requires=[
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"fastapi",
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"librosa",
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"soundfile",
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"faster-whisper",
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"uvicorn",
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"websockets",
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],
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extras_require={
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"diarization": ["diart"],
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"vac": ["torch"],
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"sentence": ["mosestokenizer", "wtpsplit"],
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"whisper": ["whisper"],
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"whisper-timestamped": ["whisper-timestamped"],
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"mlx-whisper": ["mlx-whisper"],
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"openai": ["openai"],
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"simulstreaming": [
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"torch",
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"tqdm",
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"tiktoken",
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"numpy<2.0.0",
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"triton>=2.0.0,<3;platform_machine==\"x86_64\" and sys_platform==\"linux\" or sys_platform==\"linux2\"",
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],
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},
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package_data={
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'whisperlivekit': ['web/*.html'],
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'whisperlivekit.simul_whisper.whisper.assets': ['*.tiktoken', '*.npz'],
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},
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entry_points={
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'console_scripts': [
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'whisperlivekit-server=whisperlivekit.basic_server:main',
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],
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},
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classifiers=[
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Multimedia :: Sound/Audio :: Speech",
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],
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python_requires=">=3.9",
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)
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