In [6]:

    

import Generate_text as gt
import pickle


    

In [2]:

    

path_to_wikipedia = r"/Users/AJ/Desktop/School/2016-2017/MIT BWSI/Autonomous Cognitive Assistant/Week3/wikipedia2text-extracted.txt"
with open(path_to_wikipedia, "rb") as f:
    string = f.read().decode().lower()[0:10000000]


    

In [3]:

    

lm_order = 11


    

In [4]:

    

lm = gt.train_lm(string, lm_order)


    

In [7]:

    

pickle.dump(lm, open("alternative_facts.p", "wb"))


    

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