text: from setuptools import setup
  import os
  
  # df = []
  # for m in os.listdir('modules'):
  #     for f in os.listdir('modules/%s' % m):
  #         if f.endswith('.py') or f.endswith('.pl'):
  #             df.append(('share/zamia-ai/modules/%s' % m, ['modules/%s/%s' % (m, f)]))
   
  # print repr(df)
  
  setup(
      name                 = 'zamia-ai',
      version              = '0.2.4',
      description          = 'Free and open source A.I. system based on Python, TensorFlow and Prolog.',
      long_description     = open('README.md').read(),
      author               = 'Guenter Bartsch',
      author_email         = 'guenter@zamia.org',
      maintainer           = 'Guenter Bartsch',
      maintainer_email     = 'guenter@zamia.org',
      url                  = 'https://github.com/gooofy/zamia-ai',
      packages             = ['zamiaai'],
      install_requires     = [
                              'py-nltools', 'pyxsb', 'cmdln', 'pytz', 'tzlocal', 'six', 'sqlalchemy', 'scipy', 'codegen', 'dateutil'
                             ],
      scripts              = [ 'zaicli' ],
      classifiers          = [
                                 'Operating System :: POSIX :: Linux',
                                 'License :: OSI Approved :: Apache Software License',
                                 'Programming Language :: Python :: 2',
                                 'Programming Language :: Python :: 2.7',
                                 'Programming Language :: Python :: 3',
                                 'Programming Language :: Python :: 3.5',
                                 'Intended Audience :: Developers',
                                 'Topic :: Software Development :: Libraries :: Python Modules',
                                 'Topic :: Multimedia :: Sound/Audio :: Speech'
                                 'Topic :: Scientific/Engineering :: Artificial Intelligence'
                             ],
      license              = 'Apache',
      keywords             = 'natural language processing tokenizer nlp tts asr speech synthesis recognition tensorflow artificial-intelligence natural-language-processing prolog knowledgebase semantic-web',
      # data_files           = df
      package_data         = {'zamiaai': ['skills/*/*.py', 'skills/*/*.pl', 'skills/*/*.xwam']},
      include_package_data = True
      )
  
  