setup.py

"""
Simple check list from AllenNLP repo:
https://github.com/allenai/allennlp/blob/master/setup.py

To create the package for pypi.

1. Change the version in __init__.py, setup.py as well as docs/source/conf.py.

2. Commit these changes with the message: "Release: VERSION"

3. Add a tag in git to mark the release:
   "git tag VERSION -m'Adds tag VERSION for pypi' "
   Push the tag to git: git push --tags origin master

4. Build both the sources and the wheel. Do not change anything in setup.py
   between creating the wheel and the source distribution (obviously).

   For the wheel, run: "python setup.py bdist_wheel" in the top level
   directory. (this will build a wheel for the python version you use to
   build it - make sure you use python 3.x).

   For the sources, run: "python setup.py sdist"
   You should now have a /dist directory with both .whl and .tar.gz
   source versions.

5. Check that everything looks correct by uploading the package to the pypi
   test server:

   twine upload dist/* -r pypitest
   (pypi suggest using twine as other methods upload files via plaintext.)

   Check that you can install it in a virtualenv by running:
   pip install -i https://testpypi.python.org/pypi transformers

6. Upload the final version to actual pypi:
   twine upload dist/* -r pypi

7. Copy the release notes from RELEASE.md to the tag in github once everything
   is looking hunky-dory.

"""
from io import open
from setuptools import find_packages, setup

setup(
    name="transformertc",
    version="0.1.0",
    author="Luis Rei",
    author_email="me@luisrei.com",
    description="Token Classification with pretrained transformer models.",
    long_description=open("README.md", "r", encoding='utf-8').read(),
    long_description_content_type="text/markdown",
    keywords='NLP NER deep learning transformer pytorch BERT',
    license='MIT',
    url="https://github.com/lrei/transformertc",
    packages=find_packages(include=['transformertc', 'transformertc.*'],
                           exclude=["*.tests", "*.tests.*",
                                    "tests.*", "tests"]),
    install_requires=[
        'transformers',
        'torch',
        'numpy',
        'tqdm',
        'seqeval',
        'scikit-learn',
        'typing',
    ],
    # tests_require=['pytest'],
    python_requires='>=3.7.0',
    classifiers=[
        'Intended Audience :: Science/Research',
        'Development Status :: 3 - Alpha',
        'License :: OSI Approved :: MIT License',
        'Programming Language :: Python :: 3',
        'Topic :: Scientific/Engineering :: Artificial Intelligence',
    ],
)