from setuptools import find_packages, setup def get_version() -> str: rel_path = "src/huggingface_hub/__init__.py" with open(rel_path, "r") as fp: for line in fp.read().splitlines(): if line.startswith("__version__"): delim = '"' if '"' in line else "'" return line.split(delim)[1] raise RuntimeError("Unable to find version string.") install_requires = [ "filelock", "requests", "tqdm", "pyyaml>=5.1", "typing-extensions>=3.7.4.3", # to be able to import TypeAlias "importlib_metadata;python_version<'3.8'", "packaging>=20.9", ] extras = {} extras["torch"] = [ "torch", ] extras["fastai"] = [ "toml", "fastai>=2.4", "fastcore>=1.3.27", ] extras["tensorflow"] = ["tensorflow", "pydot", "graphviz"] extras["testing"] = [ "pytest", "datasets", "soundfile", ] extras["quality"] = [ "black==22.3", "isort>=5.5.4", "flake8>=3.8.3", "flake8-bugbear", ] extras["all"] = extras["testing"] + extras["quality"] extras["dev"] = extras["all"] setup( name="huggingface_hub", version=get_version(), author="Hugging Face, Inc.", author_email="julien@huggingface.co", description=( "Client library to download and publish models, datasets and other repos on the" " huggingface.co hub" ), long_description=open("README.md", "r", encoding="utf-8").read(), long_description_content_type="text/markdown", keywords=( "model-hub machine-learning models natural-language-processing deep-learning" " pytorch pretrained-models" ), license="Apache", url="https://github.com/huggingface/huggingface_hub", package_dir={"": "src"}, packages=find_packages("src"), extras_require=extras, entry_points={ "console_scripts": [ "huggingface-cli=huggingface_hub.commands.huggingface_cli:main" ] }, python_requires=">=3.7.0", install_requires=install_requires, classifiers=[ "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering :: Artificial Intelligence", ], )