def gen(): ply = randint(1, 4) length = randint(5, 20) markov_dict = markov.train([licenses], ply) # 2 is the ply text = markov.generate(markov_dict, length, ply) # 2 is the ply, 10 is the length return text
def markovtitle(text): markov_dict = markov.train([text], 2) return markov.generate(markov_dict, randrange(4,10), 2)
def markovtitle(text): markov_dict = markov.train([text], 2) return markov.generate(markov_dict, randrange(4, 10), 2)
from pymarkov import markov import sys with open(sys.argv[1]) as file_in: aye = file_in.read() m_dict = markov.train([aye], 2) no_of_ideas = int(sys.argv[2]) + 1 ideas = [markov.generate(m_dict, 4, 2) for i in range(1, no_of_ideas)] for i in ideas: print(i)
import nltk as n from itertools import islice from pymarkov import markov corpus = open('queensdelight.txt', 'r') names = open('curious.txt', 'r') output = open('output.txt', 'w') corpus_raw = [line.rstrip('\n') for line in islice(corpus,68,2339)] dict = markov.train(corpus_raw,2) for i in range(0, 99): #print(markov.generate(dict, 60, 2)) output.write(markov.generate(dict, 70, 2) + "\n")