Metadata-Version: 1.1
Name: twitter-markov
Version: 0.4.4
Summary: Create markov chain ("_ebooks") accounts on Twitter
Home-page: https://github.com/fitnr/twitter_markov
Author: Neil Freeman
Author-email: contact@fakeisthenewreal.org
License: GPLv3
Description: twitter markov
        ==============
        
        Create markov chain ("\_ebooks") accounts on Twitter.
        
        The audience for this library is those with at least basic Python
        experience. Before you set this up, you'll need:
        
        -  A twitter account
        -  A twitter application (register at
           `dev.twitter.com <http://dev.twitter.com>`__) with authentication
           keys for the account (`read more <https://dev.twitter.com/oauth>`__)
        -  A text for the bot to learn from, which can be a text file or a
           Twitter archive. Several thousand lines are needed to get decent
           results, with fewer than 100 or so it won't work at all.
        
        Install
        -------
        
        Run ``pip install twitter_markov``, or download/clone the package and
        run ``python setup.py install``. Feel free to use a virtualenv, if
        you're into that.
        
        Setting up a bot
        ----------------
        
        `See the docs <http://pythonhosted.org/twitter_markov>`__ for a complete
        guide to setting up an ebooks bot. Here are the basics:
        
        -  Create a app and authenticate it with your new Twitter account
        -  `Create a
           corpus <http://pythonhosted.org/twitter_markov/corpus.html>`__, a
           text file with one sentence or text per line
        -  `Create a ``bots.yaml`` config
           file <http://pythonhosted.org/twitter_markov/config.html>`__
        -  `Set up a task to tweet and
           reply <http://pythonhosted.org/twitter_markov/tweet.html>`__
        
        API
        ---
        
        `See the docs <http://pythonhosted.org/twitter_markov/api.html>`__.
        
        License
        -------
        
        Copyright 2014-2016, Neil Freeman. This software is available under the
        GPL 3.0. See LICENSE for more information.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Operating System :: OS Independent
