""" 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() def _read_reqs(relpath): fullpath = path.join(path.dirname(__file__), relpath) with open(fullpath) as f: return [s.strip() for s in f.readlines() if (s.strip() and not s.startswith("#"))] REQUIREMENTS = _read_reqs("requirements.txt") TRAINING_REQUIREMENTS = _read_reqs("requirements-training.txt") 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'), include_package_data=True, install_requires=REQUIREMENTS, extras_require={ "training": TRAINING_REQUIREMENTS, }, python_requires='>=3.7', )