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main.py
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main.py
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import sys
import tweepy
import wolframalpha
import speech_recognition as sr
import re
from pymarkovchain import MarkovChain
from gtts import gTTS
import os
#excluded for public copy
key = " "
secret = " "
token = " "
token_secret = " "
markDirectory = ""
def populateTweets(api, pages, user):
tweets = []
for i in range (0, pages):
user_timeline = api.user_timeline(screen_name=user, page = i)
for status in user_timeline:
tweets.append(status.text)
return tweets
def createSuperString(file):
superString = ""
infile = open(file, 'r')
for line in infile:
superString += line
superString = re.sub('\n', ' ', superString)
superString = re.sub('-', ' ', superString)
return superString
def main():
auth = tweepy.OAuthHandler(key, secret)
auth.set_access_token(token, token_secret)
client = tweepy.API(auth)
api = tweepy.API(auth)
tweets = []
superString = ""
mc = MarkovChain(markDirectory)
superString = createSuperString('trump.txt')
mc.generateDatabase(superString)
while(True):
phrase = mc.generateString()
try:
print(phrase)
except UnicodeEncodeError:
continue
try:
answer = input()
if(answer == 'y'):
client.update_status(phrase)
except tweepy.TweepError:
continue
main()