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        "author": "Olivier Simard-Morissette",
        "author_email": "olivier.morissette@gmail.com",
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            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy"
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        "description": "\n===============\nTweet Generator\n===============\nThe tweet generator uses a Markov chain finite state model to take a\nparticular user id from twitter and generate tweets based off of that person's\nprevious tweets. The tweets are stored in a JSON document which allows for random\nwalks of the tweets to occur.\n\n=====\nGoals\n=====\n\n- Simplify creating a basic Markov Chain Twitter Bot.\n- Easy to read and provide an introduction to a simple way to create something intelligent!\n\n=====================\nFeatures\n=====================\n\n- Option to remove urls.\n- Option for proper capitalization\n- Output of the generated tree into a pretty JSON Format that you can review.\n- Scraping of the Twitter API using the Tweepy Library\n\n============\nInstallation\n============\n\nTo install, use pip ::\n\n    pip install tweet-generator\n\n=======\nExample\n=======\n\nSee the following example::\n\n    from tweet_generator import tweet_generator\n    TPCK = '<public_consumer_key>'\n    TSCK = '<secret_consumer_key>'\n    TPAK = '<public_access_key>'\n    TSAK = '<secret_access_key>'\n    twitter_bot = tweet_generator.PersonTweeter('25073877',TPCK,TSCK,TPAK,TSAK)\n    random_tweet = twitter_bot.generate_random_tweet()\n    print(random_tweet)\n\n",
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        "license": "MIT",
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