{
    "info": {
        "author": "Stuart Squires",
        "author_email": "StuartJSquires@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5"
        ],
        "description": "===============================\nMarkov Slackbot\n===============================\n\n\n.. image:: https://img.shields.io/pypi/v/markov_slackbot.svg\n        :target: https://pypi.python.org/pypi/markov_slackbot\n\n.. image:: https://img.shields.io/travis/StuartJSquires/markov_slackbot.svg\n        :target: https://travis-ci.org/StuartJSquires/markov_slackbot\n\n.. image:: https://readthedocs.org/projects/markov-slackbot/badge/?version=latest\n        :target: https://markov-slackbot.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n.. image:: https://pyup.io/repos/github/StuartJSquires/markov_slackbot/shield.svg\n     :target: https://pyup.io/repos/github/StuartJSquires/markov_slackbot/\n     :alt: Updates\n\n\nMarkov Slackbot is a Slack chatbot that uses Markov chains.\n\n\n* Free software: MIT license\n* Documentation: https://markov-slackbot.readthedocs.io.\n\n\nFeatures\n--------\n\nThis slackbot can use multiple different models to output unique messages in channels that the bot belongs to.\nIn order to speak with the markov bot, invite the bot to the channel.\n\nOnce the bot is in the channel, you can interact with the bot by calling it's name, or by mentioning the bot.\nTo mix different models in the response, indicate the level interaction each model should have in the response\n```\nhey marky, give me a lot of lahey\n```\n```\nhey marky, give me a lot of lahey and a little star wars\n```\n\nCredits\n---------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n0.1.0 (2016-07-16)\n------------------\n\n* First release on PyPI.",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "UNKNOWN",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/StuartJSquires/markov_slackbot",
        "keywords": "markov_slackbot",
        "license": "MIT license",
        "maintainer": null,
        "maintainer_email": null,
        "name": "markov_slackbot",
        "package_url": "https://pypi.org/project/markov_slackbot/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/markov_slackbot/",
        "project_urls": {
            "Download": "UNKNOWN",
            "Homepage": "https://github.com/StuartJSquires/markov_slackbot"
        },
        "release_url": "https://pypi.org/project/markov_slackbot/0.1.0/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Markov Slackbot is a Slack chatbot that uses Markov chains.",
        "version": "0.1.0"
    },
    "last_serial": 2231003,
    "releases": {
        "0.1.0": []
    },
    "urls": []
}