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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="Auto-Research",
version="1.0",
author="Sidharth Pal",
author_email="[email protected]",
description="Geberate scientific survey with just a query",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/sidphbot/Auto-Research",
project_urls={
"Docs" : "https://github.com/example/example/README.md",
"Bug Tracker": "https://github.com/sidphbot/Auto-Research/issues",
"Demo": "https://www.kaggle.com/sidharthpal/auto-research-generate-survey-from-query",
},
classifiers=[
"Development Status :: 5 - Production/Stable",
"Environment :: Console",
"Environment :: Other Environment",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Intended Audience :: Other Audience",
"Topic :: Education",
"Topic :: Education :: Computer Aided Instruction (CAI)",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Scientific/Engineering :: Medical Science Apps.",
"Topic :: Scientific/Engineering :: Physics",
"Natural Language :: English",
"License :: OSI Approved :: GNU General Public License (GPL)",
"License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)",
"License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)",
"License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
"Operating System :: POSIX :: Linux",
"Operating System :: MacOS :: MacOS X",
"Environment :: GPU",
"Environment :: GPU :: NVIDIA CUDA",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.6",
],
package_dir={"": "src"},
packages=setuptools.find_packages(where="src"),
python_requires=">=3.7",
install_requires=[
"pip",
"boto3==1.9.118",
"requests==2.20.0",
"unicodedata2",
"pdfminer3k",
"sentence-transformers",
"pdftotext",
"arxiv",
"arxiv2bib",
"scholarly",
"PyMuPDF",
"Pillow",
"tabula-py",
"sentencepiece",
"keybert",
"scispacy",
"amrlib",
"transformers",
"en_core_sci_scibert",
"bert-extractive-summarizer",
"en_core_sci_lg",
],
extras_require={
"spacy": ["all"],
},
dependency_links=[
"https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_core_sci_scibert-0.5.0.tar.gz#egg=en_core_sci_scibert-0.5.0",
"https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_core_sci_lg-0.5.0.tar.gz#egg=en_core_sci_lg-0.5.0"
],
tests_require=["pytest"],
entry_points={
'console_scripts': [
'cursive = src.Surveyor:main',
],
},
)