# Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. """ Setup """ from setuptools import setup, find_packages from codecs import open from os import path here = path.abspath(path.dirname(__file__)) # Get the long description from the README file with open(path.join(here, 'README.md'), encoding='utf-8') as f: long_description = f.read() exec(open('src/open_clip/version.py').read()) setup( name='open_clip_torch', version=__version__, description='OpenCLIP', long_description=long_description, long_description_content_type='text/markdown', url='https://github.com/mlfoundations/open_clip', author='', author_email='', classifiers=[ # How mature is this project? Common values are # 3 - Alpha # 4 - Beta # 5 - Production/Stable 'Development Status :: 3 - Alpha', 'Intended Audience :: Education', 'Intended Audience :: Science/Research', 'License :: OSI Approved :: Apache Software License', 'Programming Language :: Python :: 3.7', 'Programming Language :: Python :: 3.8', 'Programming Language :: Python :: 3.9', 'Programming Language :: Python :: 3.10', 'Topic :: Scientific/Engineering', 'Topic :: Scientific/Engineering :: Artificial Intelligence', 'Topic :: Software Development', 'Topic :: Software Development :: Libraries', 'Topic :: Software Development :: Libraries :: Python Modules', ], # Note that this is a string of words separated by whitespace, not a list. keywords='CLIP pretrained', package_dir={'': 'src'}, packages=find_packages(where='src', exclude=['training']), include_package_data=True, install_requires=[ 'torch >= 1.9', 'torchvision', 'ftfy', 'regex', 'tqdm', ], python_requires='>=3.7', )