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setup.py
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21 lines (20 loc) · 882 Bytes
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import setuptools
setuptools.setup(
name="News-Article-Topic-Text-Classification",
version="0.0.2",
author="James Stevenson",
author_email="hi@jamesstevenson.me",
description="A pre-trained text classification model for identifying the topic of a news article.",
long_description="A pre-trained text classification model for identifying the topic of a news article.",
long_description_content_type="text/markdown",
url="https://github.com/user1342/News-Article-Text-Classification",
packages=["news_classification"],
include_package_data=True,
classifiers=[
"Programming Language :: Python :: 3",
"License :: GPL-3.0",
"Operating System :: OS Independent",
],
python_requires='>=3.6',
install_requires=['matplotlib', 'seaborn', 'feedparser', 'pandas', 'sklearn', 'numpy', 'newspaper3k', 'pathlib'],
)