Chattymarkov is a python module that lets you generate random sentences through a markov chain algorithm.
It is useful mostly for bots which are aimed at learning from user’s chat and generate totally w.t.f. answers.
The library can support multiple databases, especially redis which is quite suitable to store relevant information for markov chains.
pip install chattymarkov
#!/usr/bin/env python3 from chattymarkov import ChattyMarkov markov = ChattyMarkov("memory://") markov.learn("My favorite animal is the crocodile") markov.learn("The word animal is six letters long") print(markov.generate())
markov instance learns two sentences (presumably gathered
from a chat network such as IRC or Discord). What is interesting is that
the ‘animal is’ sequence appears twice. So the
which returns a completely random result, may return an entirely built
sentence which hasn’t been ever written by anyone:
$ ./memory.py The word animal is the crocodile $ ./memory My favorite animal is six letters long
The more sentences, the funnier generated ones.
- Redis (recommended): you can either provide a unix socket path (e.g.
redis://localhost:6739;db=0). Extra parameters are separated by semi-colons after the unix socket path / host:port descriptor. For the async version, either use
redis_async://or instantiate a
- JSON: you can provide a path to a file that will be formated with JSON.
- Memory: in-memory database, just provide
memory://as a connect string. For the async version, use
If you want to add some support to a database or redesign the library, please make a pull request so we can discuss about it.
- Support other databases?