setup.py

from setuptools import setup
from setuptools import find_packages
import io
import os

from env_settting import ROOT_PATH


def readme_description():
    with io.open('README.md', 'r', encoding='utf-8') as f:
        readme = f.read()
    return readme


def folder_init(description='description', default_path=''):
    print(description)
    path = default_path
    print('[Default Path= \'%s\']' % path)
    while True:
        user_input = input('Yes(Y,y) | No(N,n) : ')
        print()
        if user_input == 'y' or user_input == 'yes' or user_input == 'Y':
            try:
                os.makedirs(path)
            except FileExistsError:
                pass
            break
        elif user_input == 'n' or user_input == 'no' or user_input == 'N':
            path = input('Input path= ')
            print('Is path= \'%s\' ?' % path)
        else:
            print('Abort Setup')
            exit()


# init instance folder
# folder_init('Setup Instance Directory', os.path.join(ROOT_PATH, 'instance'))

# init data folder
# folder_init('Setup Data Directory', os.path.join(ROOT_PATH, 'data'))

install_requires_ = [
    # 'tensorflow==1.4.1',
    # 'tensorflow-gpu==1.4.1',
    'requests==2.18.4',
    'opencv-python==3.4.13.47',
    'scikit-learn==0.19.1',
    'scikit-image==0.13.1',
    'pillow==5.0.0',
    'pandas==0.22.0',
    'matplotlib==2.2.5',
]

# ref : https://github.com/stunstunstun/awesome-algorithms
setup(name='ALLGANS',
      version='0.1',
      description='Unsupervised Learning Model Implementation Project Using Machine Learning Framework',
      long_description=readme_description(),
      url='https://github.com/demetoir/ALLGANS',
      author='demetoir, WKBae, StarG',
      author_email='wnsqlehlswk@naver.com, williambae1@gmail.com, psk7142@naver.com',
      license='MIT',
      packages=find_packages(),
      install_requires=install_requires_,
      classifiers=[
          'Programming Language :: Python :: 3.6',
      ],
      zip_safe=False,
      )