text: from distutils.core import setup
  
  setup(
    name = 'doc_transformers',         # How you named your package folder (MyLib)
    packages = ['doc_transformers'],   # Chose the same as "name"
    version = '0.8',      # Start with a small number and increase it with every change you make
    license='MIT',        # Chose a license from here: https://help.github.com/articles/licensing-a-repository
    description = 'Deep learning for document processing',   # Give a short description about your library
    author = 'Vishnu N',                   # Type in your name
    author_email = 'vishnunkumar25@gmail.com',      # Type in your E-Mail
    url = 'https://github.com/Vishnunkumar/doc_transformers/',   # Provide either the link to your github or to your website
    download_url ='https://github.com/Vishnunkumar/doc_transformers/archive/refs/tags/v-8.tar.gz',    # I explain this later on
    keywords = ['Documents', 'Machine learning', 'NLP', 'Deep learning', 'Computer Vision'],   # Keywords that define your package best
    install_requires = [            # I get to this in a second
            'transformers',
            'pyyaml==5.1',
            'torch==1.8.0',
            'torchvision==0.9.0',
            'datasets',
            'pytesseract',
            'pandas',
            'numpy'
    ],
    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',
    ],
  )
  