setup.py

import setuptools

test_packages = [
    "pytest>=5.4.3",
    "pytest-cov>=2.6.1"
]

docs_packages = [
    "mkdocs==1.1",
    "mkdocs-material==4.6.3",
    "mkdocstrings==0.8.0",
]

dev_packages = docs_packages + test_packages


with open("README.md", "r") as fh:
    long_description = fh.read()

setuptools.setup(
    name="bertopic",
    packages=["bertopic"],
    version="0.3.0",
    author="Maarten Grootendorst",
    author_email="maartengrootendorst@gmail.com",
    description="BERTopic performs topic Modeling with state-of-the-art transformer models.",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/MaartenGr/BERTopic",
    keywords="nlp bert topic modeling 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=[
        'torch',
        'tqdm',
        'numpy',
        'umap-learn',
        'hdbscan',
        'pandas',
        'scikit_learn',
        'sentence_transformers',
        'joblib',
        'matplotlib'
      ],
    extras_require={
        "test": test_packages,
        "docs": docs_packages,
        "dev": dev_packages,
    },
    python_requires='>=3.6',
)