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import os
from setuptools import find_packages, setup
base_dir = os.path.dirname(os.path.abspath(__file__))
def get_long_description():
readme_path = os.path.join(base_dir, "README.md")
with open(readme_path, encoding="utf-8") as readme_file:
return readme_file.read()
def get_project_version():
version_path = os.path.join(base_dir, "faster_whisper", "version.py")
version = {}
with open(version_path, encoding="utf-8") as fp:
exec(fp.read(), version)
return version["__version__"]
def get_requirements(path):
with open(path, encoding="utf-8") as requirements:
return [requirement.strip() for requirement in requirements]
install_requires = get_requirements(os.path.join(base_dir, "requirements.txt"))
conversion_requires = get_requirements(
os.path.join(base_dir, "requirements.conversion.txt")
)
setup(
name="faster-whisper",
version=get_project_version(),
license="MIT",
description="Faster Whisper transcription with CTranslate2",
long_description=get_long_description(),
long_description_content_type="text/markdown",
author="Guillaume Klein",
url="https://github.com/SYSTRAN/faster-whisper",
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
keywords="openai whisper speech ctranslate2 inference quantization transformer",
python_requires=">=3.8",
install_requires=install_requires,
extras_require={
"conversion": conversion_requires,
"dev": [
"black==23.*",
"flake8==6.*",
"isort==5.*",
"pytest==7.*",
],
},
packages=find_packages(),
include_package_data=True,
)
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