/
setup.py
41 lines (38 loc) · 1.37 KB
/
setup.py
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import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
requirements = [
'spacy',
'en-nligraphspacy'
]
setuptools.setup(
name="nligraphspacy",
version="1.1.7",
author="Vishnu Nandakumar",
author_email="nkumarvishnu25@gmail.com",
description="Knowledge graph using Spacy NLP",
long_description=long_description,
long_description_content_type="text/markdown",
url = 'https://github.com/Vishnunkumar/nligraphspacy/',
packages=[
'nligraphspacy',
],
package_dir={'nligraphspacy': 'nligraphspacy'},
package_data={
'nligraphspacy': ['nligraphspacy/*']
},
install_requires=requirements,
license="MIT license",
zip_safe=False,
keywords='spacy nli keywords entities',
classifiers=(
'Development Status :: 3 - Alpha', # Chose either "3 - Alpha", "4 - Beta" or "5 - Production/Stable" as the current state of your package
'Intended Audience :: Developers', # Define that your audience are developers
'Topic :: Software Development :: Build Tools',
'License :: OSI Approved :: MIT License', # Again, pick a license
'Programming Language :: Python :: 3', #Specify which pyhton versions that you want to support
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
),
)