TweetsWith_gTTS.py

import tweepy
#from textblob import TextBlob
from gtts import gTTS
import os, time
import json
import re
#from nltk.tokenize import word_tokenize

#nltk.download('punkt')

# Authentication key
#consumer_key= 'XXX'
#consumer_secret= 'XXX'
#
#access_token='XXX'
#access_token_secret='XXX'

#read the file
with open('creds-twitter','rb') as f:
    #load json file
    credential= json.load(f)
  
#Authenticate application    
auth = tweepy.OAuthHandler(credential['consumer_key'], credential['consumer_secret'])
#auth.set_access_token(creds['access_token'], creds['access_token_secret'])

#get authentication link
request_url = auth.get_authorization_url()

print("Copy & paste the URL in browser " + "\n\n" + request_url + "\n\n" +"And get access token")

#get token pin after authentication 
pin = input('Enter the Access_token: ')

#get access to users account
client_credential = auth.get_access_token(pin)

api = tweepy.API(auth)


##display date time
#t = time.strftime("%d-%m-%Y %H:%M:%S", time.gmtime())
#msg = "Alert !! Motion detected at " + t

#post tweet 
api.update_status(input('Enter the Tweet : '))

##list of all our followers
#for friend in tweepy.Cursor(api.friends).items():
#    #print(friend._json)
#    json_data = friend._json
#    
#    dict_json = dict(json_data)
#    print(dict_json['screen_name'])


#display tweet from home and remove hyperlinks           
for status in tweepy.Cursor(api.home_timeline).items(10):
    # Process a single status
    tweet = status.text
    '''Remove Hyperlink by 2 method'''
    ##1st
    #speech = re.sub(r"http\S+", "", tweet)
    
    ##2nd
    speech = ' '.join(re.sub("(@[A-Za-z0-9]+)|([^0-9A-Za-z \t])|(\w+:\/\/\S+)"," ",tweet).split())
    print('\n'+ speech + '\n')



## Send Direct Message
#api.send_direct_message(screen_name='hardik24753v', text =msg) 
    
#text-to-speech(TTS) in which "language"    
language = 'en-IN'

##convert TTS
myobj = gTTS(text=speech, lang=language, slow=False)

#save TTS
myobj.save("speech.mp3") 

#dont know why this is used with myobj.save
os.system("mpg321 speech.mp3")   

##Perform Sentiment Analysis
##Retrieve Tweets
#public_tweets = api.search('Tesla')
#
#
#for tweet in public_tweets:
#    print(tweet.text)
#    
##Perform Sentiment Analysis on Tweets
#    analysis = TextBlob(tweet.text)
#    print(analysis.sentiment)
#print("")