C++ text markov chain generator. Feel free to leverage the code within however you wish!
-Jack Carlson ([email protected])
To run a test on the sample text (Nightmare Abbey by Thomas Love Peacock):
make
./dashkovgen
Build the shared object by running python setup.py build. The python interface is in a declarative style:
import dashkov
dashkov.populate('somefile.txt') # learns from file (if db doesn't exist)
dashkov.load_db() # load model from default 'dashkov.db' file
reply = dashkov.get_reply('Some string', 15) # returns a string from the markov model.
# the input string is used to seed the model. the integer argument is a maximum of words to return.
dashkov.learn('Some other string') # add a string to the model