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setup.py
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34 lines (32 loc) · 1.31 KB
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from setuptools import setup, find_packages
import codecs
import os
here = os.path.abspath(os.path.dirname(__file__))
readme_path = os.path.join(here, "README.md")
with codecs.open(readme_path, encoding="utf-8") as fh:
long_description = fh.read()
VERSION = '0.0.6'
DESCRIPTION = 'Complementing topic models with few-shot in-context learning to generate interpretable topics'
LONG_DESCRIPTION = 'Complementing topic models with few-shot in-context learning to generate interpretable topics from keywords of topic models (e.g., LDA, BERTopic)'
# Setting up
setup(
name="ConTextMining",
version=VERSION,
author="Charles Alba",
author_email="alba@wustl.edu",
description=DESCRIPTION,
long_description_content_type="text/markdown",
long_description=long_description,
packages=find_packages(),
install_requires=['torch', 'transformers', 'tokenizers', 'huggingface-hub','accelerate'],
keywords=['generative AI', 'text mining', 'topic modeling', 'LLMs'],
classifiers=[
"Development Status :: 1 - Planning",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3",
"Operating System :: Unix",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows",
]
)