https://github.com/pteichman/cobe

A Markov chain based text generation library and MegaHAL style chatbot
https://github.com/pteichman/cobe

Last synced: 3 days ago
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A Markov chain based text generation library and MegaHAL style chatbot

• Host: GitHub
• URL: https://github.com/pteichman/cobe
• Owner: pteichman
• License: mit
• Created: 2010-03-07T02:24:49.000Z (over 14 years ago)
• Default Branch: master
• Last Pushed: 2021-07-08T20:43:32.000Z (over 3 years ago)
• Last Synced: 2024-11-06T02:52:48.381Z (8 days ago)
• Language: Python
• Homepage: http://teichman.org/blog/
• Size: 661 KB
• Stars: 242
• Watchers: 17
• Forks: 51
• Open Issues: 17
• Metadata Files:
  • Readme: README.md
  • License: COPYING

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README

        
COBE stands for Code of Business Ethics. Cobe is a conversation

simulator, originally a database backed port of MegaHAL but a bit

more now.

According to the Nobel Prize committee, "the COBE project can also

be regarded as the starting point for cosmology as a precision

science."

There are a few relevant posts here:

 - http://teichman.org/blog/2011/09/cobe-2.0.html

 - http://teichman.org/blog/2011/05/singularity.html

 - http://teichman.org/blog/2011/02/cobe.html

You can read its release history [here](https://github.com/pteichman/cobe/wiki).

Cobe has been inspired by 

[the success of Hailo](http://blogs.perl.org/users/aevar_arnfjor_bjarmason/2010/01/hailo-a-perl-rewrite-of-megahal.html)

Our goals are similar to Hailo: an on-disk data store for lower memory

usage, better support for Unicode, and general stability.

You can read about the original MegaHAL [here](http://megahal.alioth.debian.org/How.html).

In short, it uses Markov modeling to generate text responses after

learning from input text.

Cobe creates a directed graph of word n-grams (default n=3) from the

text it learns. When generating a response, it performs random walks

on this graph to create as many candidate replies as it can in half a

second.

As the candidate responses are created, they're run through a scoring

algorithm that identifies which is the best of the group. After the

half second is over, the best candidate is returned as the response.

Cobe installs a command line tool (called cobe) for interacting with a

brain database, though it is also intended to be used as a Python

api. See the documentation in the cobe.brain module for details.

To install from a tarball:

```

$ python setup.py install

```

Or from the Python Package Index:

```

$ easy_install pip

# pip install cobe

```

Usage:

```

$ cobe init

$ cobe learn 

$ cobe console

```