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    "info": {
        "author": "Eunika Wu",
        "author_email": "eunika@pdxcodeguild.com",
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        "description": "# D.A.V.E.\nMeet DAVE, the screenwriting bot. \nDAVE generates formatted screenplays from other screenplays.\n\n\n## Install\n```\npip install davebot\n```\n\n## Use\n### Stanley module\n#### Generate screenplays\n`DAVE.nlp.Stanley` uses all the modules below (except web scraping) to generate formatted screenplays (PDF and plaintext).\n\nExample:\n```py\nfrom DAVE.nlp.Stanley import Stanley\ncharacters = ['HAL', 'DAVE', 'Stanley Kubrick', 'Discovery One', \n              'Arthur C. Clarke', 'The Sentinel']\nsource = ['2001-A-Space-Odyssey.txt', '2012.txt']\n\ndirector = Stanley(source, characters, destination='output', title='2013', author='DAVE')\ndirector.direct(length=100)\n```\n\nDAVE will create two files in the `destination` directory: `<title>.pdf` and `<title>.txt`.\n\n### Scraper module\n#### Scraping Screenplays\n`DAVE.scraper.DiscoveryOne` scrapes from IMSDB using BeautifulSoup\n```py\nfrom DAVE.scraper import DiscoveryOne, Sentinel\nDiscoveryOne.crawl(path, directory='.', pattern=GENRE):\n```\n\n#### Parse\n`DAVE.scraper.Sentinel`  and parses screenplays into subsections: headings, transitions, actions, parentheticals, and dialogue, to be further prepared into Markov models.\n```py\nSentinel.parse(*sources, destination='.', write=True)\n```\n\nOr, parse recursively using `Sentinel.parse_directory`\n```py\nSentinel.parse_directory(source='.', destination='parsed_categories', genre='All')`\n```\n\n### NLP module\n#### Serialize markov models\n`DAVE.nlp.HAL` generates Markov chains from the parsed categories made by `DAVE.scraper.Sentinel` and serializes the models into JSON.\n\nTo create the Markov models:\n```py\nfrom DAVE.nlp.HAL import HAL\nHAL.generate_models(source='parsed_categories', destination='.')\n```\n\n\n## Inspiration\n#### A Space Odyssey\nInspiration from the name D.A.V.E. came from Stanley Kubrick's masterpiece film *2001: A Space Odyssey*. The names of this package's modules all reflect characters, creators, texts, and important people involved in A Space Odyssey. \n\n\n#### Sunspring\nThe original inspiration for this project comes from a short science fiction film: *Sunspring*.\n\nDescription (from Ars Technica):\n\n> In the wake of Google's AI Go victory, filmmaker Oscar Sharp turned to his technologist collaborator Ross Goodwin to build a machine that could write screenplays. They created \"Jetson\" and fueled him with hundreds of sci-fi TV and movie scripts. Building a team including Thomas Middleditch, star of HBO's Silicon Valley, they gave themselves 48 hours to shoot and edit whatever Jetson decided to write.\n\n\n<a href=\"http://www.youtube.com/watch?feature=player_embedded&v=LY7x2Ihqjmc\" target=\"_blank\"><img src=\"http://img.youtube.com/vi/LY7x2Ihqjmc/0.jpg\" \nalt=\"Sunspring Short Film\" width=\"240\" height=\"180\" border=\"10\" /></a>\n\nClick the image above to see the full video.\n\n\n",
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        "name": "davebot",
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