text: #!/usr/bin/env python
  # (C) Copyright IBM Corp. 2015, 2020.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #      http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  from setuptools import setup
  from os import path
  
  __version__ = '5.2.3'
  
  # read contents of README file
  this_directory = path.abspath(path.dirname(__file__))
  with open(path.join(this_directory, 'README.md'), encoding='utf-8') as file:
      readme_file = file.read()
  
  setup(name='ibm-watson',
        version=__version__,
        description='Client library to use the IBM Watson Services',
        packages=['ibm_watson'],
        install_requires=['requests>=2.0, <3.0', 'python_dateutil>=2.5.3', 'websocket-client==1.1.0', 'ibm_cloud_sdk_core>=3.3.6, == 3.*'],
        tests_require=['responses', 'pytest', 'python_dotenv', 'pytest-rerunfailures'],
        license='Apache 2.0',
        author='IBM Watson',
        author_email='watdevex@us.ibm.com',
        long_description=readme_file,
        long_description_content_type='text/markdown',
        url='https://github.com/watson-developer-cloud/python-sdk',
        include_package_data=True,
        keywords='language, vision, question and answer' +
        ' tone_analyzer, natural language classifier,' +
        ' text to speech, language translation, ' +
        'language identification, concept expansion, machine translation, ' +
        'personality insights, message resonance, watson developer cloud, ' +
        ' wdc, watson, ibm, dialog, user modeling,' +
        'tone analyzer, speech to text, visual recognition',
        classifiers=[
            'Programming Language :: Python',
            'Programming Language :: Python :: 2',
            'Programming Language :: Python :: 3',
            'Development Status :: 5 - Production/Stable',
            'Intended Audience :: Developers',
            'License :: OSI Approved :: Apache Software License',
            'Operating System :: OS Independent',
            'Topic :: Software Development :: Libraries :: Python Modules',
            'Topic :: Software Development :: Libraries :: Application '
            'Frameworks',
        ],
        zip_safe=True
       )
  