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setup.py
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import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
REQUIRED_PCKGS = [
"tensorflow>=2.0.0",
"pandas",
"numpy>=1.16.5",
"seaborn",
"matplotlib",
"tqdm"
]
setuptools.setup(
name="xswem",
version="1.0.0",
author="Kieran Litschel",
author_email="kieran.litschel@outlook.com",
description="A simple and explainable deep learning model for NLP.",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/KieranLitschel/XSWEM",
download_url='https://github.com/KieranLitschel/XSWEM/tags',
license='MIT',
packages=["xswem"],
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
python_requires='>=3.6',
install_requires=REQUIRED_PCKGS,
keywords='nlp fast machine learning deep simple tensorflow model word embeddings keras glove explainable swem '
'global local explanations'
)