How to use the ergo.version.__version__ function in ergo

def action_info(argc, argv):
    args = parse_args(argv)

    if args.to_json is True:
        devices = []
        info = {
            "version": __version__,
            "keras_version": keras.__version__,
            "tf_version": tf.__version__,
            'sklean_version': sklearn.__version__,
            "devices":[]
        }
        devs = device_lib.list_local_devices()
        for dev in devs:
            info['devices'].append({
                'name': dev.name,
                'type': dev.device_type,
                'memory': dev.memory_limit,
                'description': dev.physical_device_desc
            })
        
        print(json.dumps(info)) 
    else:

from ergo.version import __version__, __author__, __email__, __license__

import os


desc = 'ergo is a tool that makes deep learning with Keras easier.'

required = []
with open('requirements.txt') as fp:
    for line in fp:
        line = line.strip()
        if line != "":
            required.append(line)

setup( name                 = 'ergo-ai',
       version              = __version__,
       description          = desc,
       long_description     = desc,
       long_description_content_type = 'text/plain',
       author               = __author__,
       author_email         = __email__,
       url                  = 'http://www.github.com/evilsocket/ergo',
       packages             = find_packages(),
       install_requires     = required,
       scripts              = [ 'bin/ergo' ],
       license              = __license__,
       classifiers          = [
            'Programming Language :: Python :: 3',
            'Development Status :: 5 - Production/Stable',
            'License :: OSI Approved :: GNU General Public License (GPL)',
            'Environment :: Console',
      ],