fefe869748
In order to make the layout of all bots consistent, this commit moves each bot into a folder with its name and modifies 'run.py' so that only bots with such a structure can be executed. 'lib' gets renamed to 'bots'.
31 lines
1.3 KiB
Markdown
31 lines
1.3 KiB
Markdown
John
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Instructions:
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You'll have to install chatterbot to use this bot.
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Please run: pip install chatterbot on your command line.
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The script will need to download some NLTK packages after running in your
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home directory. With the mission of humanizing bot interactions, John aims to be your
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virtual assistant at the hour of asking for help in Zulip. John is an
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interactive bot that uses machine learning heuristics to simulate a
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conversation with the user. He has a great sense of humor and
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is also powered by Open Source code!
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How it works?
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John is initially trained with Corpus files, or large text files.
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Dialogues are loaded into a json "database", he will try to follow them
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once it receives input from a user. John will query the database and
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try to find the response that best matches the input according to the Levenshtein distance
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which is a string metric for measuring the difference between two sequences. If several
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responses have the same acurracy, he will choose one at random.
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Can he learn by himself?
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John's engine allows him to learn from his conversations with people. However,
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without strict supervision bots that learn from people can do harm, so learning
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is currently restricted to his initial corpus.
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