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="sidharth.pal1992@gmail.com", 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', ], }, )