{ "info": { "author": "Keith Kelly", "author_email": "k3ithk@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Topic :: Software Development :: Build Tools" ], "description": "*****************************************\nMarkovText: A Markov Chain text generator\n*****************************************\n.. image:: https://travis-ci.org/kwkelly/MarkovText.svg?branch=master\n :target: https://travis-ci.org/kwkelly/MarkovText\n\nMarkovText is a simple Python library for reandomly generating strings of\ntext based on sample text. A Markov chain text generator uses the frequency of\nwords following the current state to generate plausible sentences that\nhopefully are passable as human text. For example, given the input text \"Hello,\nhow are you today? You look well.\" and a seed of \"you\", there is a 50% chance\nthat the next word is either \"look\" or \"today\". 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