setup.py

from setuptools import setup, find_packages

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

base_packages = [
    "jieba",
    "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="zhkeybert",
    packages=find_packages(exclude=["notebooks", "docs"]),
    version="0.1.2",
    author="Maarten Grootendorst, Yao Su",
    author_email="maartengrootendorst@gmail.com, 1092702101@qq.com",
    description="Based on KeyBERT performs Chinese documents keyword extraction with state-of-the-art transformer models.",
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/deepdialog/ZhKeyBERT",
    keywords="nlp bert keyword extraction embeddings for Chinese",
    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',
)