from setuptools import setup, find_packages test_packages = [ "pytest>=5.4.3", "pytest-cov>=2.6.1" ] base_packages = [ "sentence-transformers>=0.3.8", "scikit-learn>=0.22.2", "numpy>=1.18.5", "rich>=10.4.0" ] docs_packages = [ "mkdocs>=1.1", "mkdocs-material>=4.6.3", "mkdocstrings>=0.8.0", ] flair_packages = [ "transformers==3.5.1", "torch>=1.4.0,<1.7.1", "flair==0.7" ] spacy_packages = [ "spacy>=3.0.1" ] use_packages = [ "tensorflow", "tensorflow_hub", "tensorflow_text" ] gensim_packages = [ "gensim>=3.6.0" ] extra_packages = flair_packages + spacy_packages + use_packages + gensim_packages dev_packages = docs_packages + test_packages with open("README.md", "r", encoding='utf-8') as fh: long_description = fh.read() setup( name="keybert", packages=find_packages(exclude=["notebooks", "docs"]), version="0.5.0", author="Maarten Grootendorst", author_email="maartengrootendorst@gmail.com", description="KeyBERT performs keyword extraction with state-of-the-art transformer models.", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/MaartenGr/keyBERT", keywords="nlp bert keyword extraction embeddings", classifiers=[ "Programming Language :: Python", "Intended Audience :: Science/Research", "Intended Audience :: Developers", "Topic :: Scientific/Engineering :: Artificial Intelligence", "License :: OSI Approved :: MIT License", "Topic :: Scientific/Engineering", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Operating System :: Unix", "Operating System :: MacOS", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.8", ], install_requires=base_packages, extras_require={ "test": test_packages, "docs": docs_packages, "dev": dev_packages, "flair": flair_packages }, python_requires='>=3.6', )