import nltk
# Natural Language Toolkit: code_random_text

def generate_model(cfdist, word, num=15):
    for i in range(num):
        print word,
        word = cfdist[word].max()

text = nltk.corpus.genesis.words('english-kjv.txt')
bigrams = nltk.bigrams(text)
cfd = nltk.ConditionalFreqDist(bigrams) # [_bigram-condition]
