aviralify_python/aviralify_python_min.py at master · amrrs/aviralify_python · GitHub

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#!/usr/bin/env python
# coding: utf-8

# In[4]:


import requests
from bs4 import BeautifulSoup
import markovify
import re
import unicodedata


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read_text = open('aviral_emails.txt', "r")


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txt = read_text.readlines()


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txt = ''.join(txt)


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txt = txt.replace(u'\xa0', u' ')


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text_model = markovify.Text(txt, state_size = 2)


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aviralified_text = '\n'


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# Print ten randomly-generated sentences using the built model
for i in range(10):
    if i == 5:
        aviralified_text = aviralified_text + '\n\n'+ text_model.make_sentence()
    aviralified_text = aviralified_text + text_model.make_sentence()


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print('Dear Abdul, \n' + aviralified_text + '\n\nRegards, \nAviralify_Python')


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