Files
KeyBERT/setup.py
Maarten Grootendorst 6ab9af1cfe v0.5 (#58)
* Guided KeyBERT
* Update default SBERT model
2021-09-28 15:29:27 +02:00

82 lines
2.1 KiB
Python

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',
)