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WhisperLiveKit/setup.py
2025-07-03 10:24:02 +02:00

57 lines
2.0 KiB
Python

from setuptools import setup, find_packages
setup(
name="whisperlivekit",
version="0.2.1",
description="Real-time, Fully Local Whisper's Speech-to-Text and Speaker Diarization",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
author="Quentin Fuxa",
url="https://github.com/QuentinFuxa/WhisperLiveKit",
packages=find_packages(),
install_requires=[
"fastapi",
"librosa",
"soundfile",
"faster-whisper",
"uvicorn",
"websockets",
],
extras_require={
"diarization": ["diart"],
"vac": ["torch"],
"sentence": ["mosestokenizer", "wtpsplit"],
"whisper": ["whisper"],
"whisper-timestamped": ["whisper-timestamped"],
"mlx-whisper": ["mlx-whisper"],
"openai": ["openai"],
"simulstreaming": [
"torch",
"tqdm",
"tiktoken",
"numpy<2.0.0",
"triton>=2.0.0,<3;platform_machine==\"x86_64\" and sys_platform==\"linux\" or sys_platform==\"linux2\"",
],
},
package_data={
'whisperlivekit': ['web/*.html'],
'whisperlivekit.simul_whisper': ['dual_license_simulstreaming.md'],
'whisperlivekit.simul_whisper.whisper.assets': ['*.tiktoken', '*.npz'],
},
entry_points={
'console_scripts': [
'whisperlivekit-server=whisperlivekit.basic_server:main',
'whisperlivekit-download-simulstreaming=whisperlivekit.download_simulstreaming_backend:main',
],
},
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",
],
python_requires=">=3.9",
)