def generate_words():
my_file = open("./ununique-words.txt")
lines = my_file.readlines()
# print(lines)
word_list = []
for line in lines:
for word in line.split():
word_list.append(word)
# myhistogram = wordHistogram()
# sentence = ""
markovchain = MarkovChain(word_list)
# word = sample_by_frequency(myhistogram)
'''num_words = 10
for i in range(num_words):
word = sample_by_frequency(myhistogram)
sentence += " " + word
return sentence'''
return markovchain.walk(10)
from flask import Flask
import textgen
from markov_chain import MarkovChain
words = textgen.get_dict('words.txt')
app = Flask(__name__)
m = MarkovChain('holmes.txt')
'''
for n in m.markov_chain:
print(n)
print('\t', m.markov_chain[n])
'''
print(m.walk(12, "clay"))
@app.route('/')
def hello_world():
return textgen.print_sentence(words, 8)
if __name__ == '__main__':
app.run()
