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setup.py
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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",
"fsspec>=2023.5.0",
"requests",
"tqdm>=4.42.1",
"pyyaml>=5.1",
"typing-extensions>=3.7.4.3", # to be able to import TypeAlias
"packaging>=20.9",
]
extras = {}
extras["cli"] = [
"InquirerPy==0.3.4",
# Note: installs `prompt-toolkit` in the background
]
extras["inference"] = [
"aiohttp", # for AsyncInferenceClient
# On Python 3.8, Pydantic 2.x and tensorflow don't play well together
# Let's limit pydantic to 1.x for now. Since Tensorflow 2.14, Python3.8 is not supported anyway so impact should be
# limited. We still trigger some CIs on Python 3.8 so we need this workaround.
# NOTE: when relaxing constraint to support v3.x, make sure to adapt `src/huggingface_hub/inference/_text_generation.py`.
"pydantic>1.1,<3.0; python_version>'3.8'",
"pydantic>1.1,<2.0; python_version=='3.8'",
]
extras["torch"] = [
"torch",
]
extras["fastai"] = [
"toml",
"fastai>=2.4",
"fastcore>=1.3.27",
]
extras["tensorflow"] = ["tensorflow", "pydot", "graphviz"]
extras["testing"] = (
extras["cli"]
+ extras["inference"]
+ [
"jedi",
"Jinja2",
"pytest",
"pytest-cov",
"pytest-env",
"pytest-xdist",
"pytest-vcr", # to mock Inference
"pytest-asyncio", # for AsyncInferenceClient
"pytest-rerunfailures", # to rerun flaky tests in CI
"urllib3<2.0", # VCR.py broken with urllib3 2.0 (see https://urllib3.readthedocs.io/en/stable/v2-migration-guide.html)
"soundfile",
"Pillow",
"gradio", # to test webhooks
"numpy", # for embeddings
]
)
# Typing extra dependencies list is duplicated in `.pre-commit-config.yaml`
# Please make sure to update the list there when adding a new typing dependency.
extras["typing"] = [
"typing-extensions>=4.8.0",
"types-PyYAML",
"types-requests",
"types-simplejson",
"types-toml",
"types-tqdm",
"types-urllib3",
]
extras["quality"] = [
"ruff>=0.1.3",
"mypy==1.5.1",
]
extras["all"] = extras["testing"] + extras["quality"] + extras["typing"]
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"],
"fsspec.specs": "hf=huggingface_hub.HfFileSystem",
},
python_requires=">=3.8.0",
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",
"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",
],
include_package_data=True,
)