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setup.py
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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~=22.0",
"isort>=5.5.4",
"flake8>=3.8.3",
]
extras["all"] = extras["testing"] + extras["quality"]
extras["dev"] = extras["all"]
setup(
name="huggingface_hub",
version=get_version(),
author="Hugging Face, Inc.",
author_email="[email protected]",
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",
],
)