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        "author": "Evan Bluhm",
        "author_email": "bluhme3@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Topic :: Communications :: Chat"
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        "description": "# 100Bot\n\nThis is a son-of-[IoBot](https://github.com/adahn6/Io) project, taking the best\nthings about Io and turning them into a monster.\n\nA picture is worth 1000 words:\n\n![Screenshot of example conversation](example.png)\n\n100Bot is powered by the Watson Tone Analyzer service. Each message is carefully\nparsed for emotional significance and response, so that the perfectly\nappropriate reaction emoji can be chosen.\n\n## Running 100Bot\n\nThe bot requires three very specific parameters:\n - A Watson Tone Analyzer `username` credential\n - A Watson Tone Analyzer `password` credential\n - A Slack Integration Token for a bot\n\n### Running with docker-compose\n\nThe easiest way to get 100bot up and running with dependencies is by using the docker service file included: `docker-compose.yml`. Modify the supplied `.env-sample` to provide credentials for the Watson Tone Analyzer and a Slack bot. Then build and start the service with:\n\n```shell\ndocker-compose up -d\n```\n\n\n### Running natively with python\n\nPip modules `slackclient` and `requests` must be installed. Use virtualenv to make your life easier. Passing of credentials can be done with argparse:\n\n```shell\npython3 100bot.py \\\n --bx-username \"user\" \\\n --bx-password \"verysecret\" \\\n --slack-token \"xoob-137138657231-2ReKEpxlvWwe6vDBripOs7sR\"\n\n```\n\nbut can also be done with environment variables:\n\n```shell\nexport BLUEMIX_USERNAME=user\nexport BLUEMIX_PASSWORD=verysecret\nexport SLACK_TOKEN=\"xoob-137138657231-2ReKEpxlvWwe6vDBripOs7sR\"\npython3 100bot.py\n\n```\n\n(yes, these are all fake credentials don't try them...)\n\n",
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        "summary": "Spice up your Slack-life with emojis!",
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