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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()
setuptools.setup(
name="smtag",
version="2.0.2",
python_requires='>=3.6',
author="Source Data",
author_email="[email protected]",
description="SmartTag provides methods to tag text from figure legends based on the SourceData model",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/source-data/py-smtag",
packages=setuptools.find_packages(exclude=[
'smtag.test',
]),
py_modules=['smtag.command_line'],
install_requires=[
#'tensorflow==1.8.0', # dgx
'tensorflow==1.14.0', # mac needed for tensorboardX visualization
'tensorboardX',
'docopt',
'torch==1.0.1',
'torchvision==0.2.2.post3',
'neo4jrestclient==2.1.1',
'nltk',
'google-cloud-vision==0.34',
'google-auth==1.5.1',
'opencv-python',
'scikit-learn',
'python-dotenv==0.10.1',
'google-cloud-vision==0.34',
],
include_package_data=True,
entry_points = {
'console_scripts': [
'smtag-neo2xml=smtag.command_line:neo2xml',
'smtag-viz=smtag.command_line:viz',
'smtag-convert2th=smtag.command_line:convert2th',
'smtag-meta=smtag.command_line:meta',
'smtag-eval=smtag.command_line:eval',
'smtag-predict=smtag.command_line:predict',
'smtag=smtag.command_line:about',
],
},
# keywords="",
classifiers=(
# full list: https://pypi.org/pypi?%3Aaction=list_classifiers
"Development Status :: 1 - Planning",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3.6",
"License :: Other/Proprietary License",
"Operating System :: MacOS :: MacOS X",
"Operating System :: POSIX",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Bio-Informatics",
"Topic :: Software Development :: Libraries",
),
)