from distutils.core import setup

setup(
    name='ML360_NLP',  # How you named your package folder (MyLib)
    packages=['ML360_NLP'],  # Chose the same as "name"
    version='0.0.1',  # 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='NLP Preprocessing library',  # Give a short description about your library
    author='Karthick Nagaraj',  # Type in your name
    author_email='karthick12nagaraj@gmail.com',  # Type in your E-Mail
    url=' ',  # Provide either the link to your github or to your website
    download_url=' ',  # I explain this later on
    keywords=['NLP', 'Preprocessing', 'spacy', 'NLTK', 'Transformers', 'Bert'],
    # Keywords that define your package best
    install_requires=[  # I get to this in a second
        'numpy', 'pandas', 'textblob', 'nltk', 'textblob', 'unidecode', 'num2words', 'sklearn', 'gensim', 'tqdm',
        'matplotlib', 'seaborn', 'torch', 'transformers', 'xgboost', 'swifter'],

    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',
    ],
)
