'''
Tweet Generator.
Created by: Asim Zaidi
https://www.asimzaidi.tech
https://www.github.com/awesomezaidi
• This program can create a dictionary of words with their occurances from a text file.
• Generates a random sentence based off of word frequencies.
'''
from file_methods import *
from random import randint
import sys, random
from markov_chain import MarkovChain
sentences = convert_textfile_to_list('corpus.txt')
generator = MarkovChain(sentences)
# for _ in range(10):
print(generator.make_sentence(12))
# def main():
# """
# Create a corpus by calling the convert_textfile_to_list method from the fil_methods module and pass in the source text.
# Create a histogram with that corpus. (Dictionary with words and their occurances.)
# Generate a random sentence using the first order Markov Chain.
# """
# with open("demofile.txt", "a") as out:
# out.write()
def tweet():
sentences = convert_textfile_to_list('corpus.txt')
generator = MarkovChain(sentences)
tweet = generator.make_sentence()
return jsonify({'tweet': tweet})
