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setup.py
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setup.py
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from setuptools import setup, find_packages
test_packages = [
"pytest>=5.4.3",
"pytest-cov>=2.6.1",
"flake8>=3.6.0",
"pre-commit>=2.2.0",
"black>=19.3b0",
]
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", "flair>=0.7"]
spacy_packages = ["spacy>=3.0.1"]
use_packages = ["tensorflow", "tensorflow_hub", "tensorflow_text"]
gensim_packages = ["gensim>=3.6.0"]
dev_packages = docs_packages + test_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="adaptkeybert",
packages=find_packages(exclude=["notebooks", "docs"]),
version="0.0.2",
author="Aman Priyanshu",
author_email="[email protected]",
description="AdaptKeyBERT extended keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation.",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/AmanPriyanshu/AdaptKeyBERT",
keywords="nlp bert keyword extraction embeddings zeroshot fewshot semisupervised",
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,
"spacy": spacy_packages,
"use": use_packages,
"gensim": gensim_packages,
},
python_requires=">=3.6",
)