diff --git a/Twitter Sentiment Analysis/app.py b/Twitter Sentiment Analysis/app.py
deleted file mode 100644
index d96b2c9..0000000
--- a/Twitter Sentiment Analysis/app.py	
+++ /dev/null
@@ -1,87 +0,0 @@
-import re 
-import tweepy 
-from tweepy import OAuthHandler 
-from textblob import TextBlob 
-  
-class TwitterClient(object): 
-    ''' 
-    Generic Twitter Class for sentiment analysis. 
-    '''
-    def __init__(self):
-        consumer_key = 'XXXXXXXXXXXXXXXXXXXXXXXX'
-        consumer_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXX'
-        access_token = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXX'
-        access_token_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXX'
-  
-        # attempt authentication 
-        try:
-            self.auth = OAuthHandler(consumer_key, consumer_secret)
-            self.auth.set_access_token(access_token, access_token_secret)
-            self.api = tweepy.API(self.auth) 
-        except: 
-            print("Error: Authentication Failed") 
-  
-    def clean_tweet(self, tweet):
-        '''
-        return ' '.join(re.sub("(@[A-Za-z0-9]+)|([^0-9A-Za-z \t])|(\w+:\/\/\S+)", " ", tweet).split()) 
-  
-    def get_tweet_sentiment(self, tweet): 
-        ''' 
-        Utility function to classify sentiment of passed tweet 
-        using textblob's sentiment method 
-        '''
-        # create TextBlob object of passed tweet text 
-        analysis = TextBlob(self.clean_tweet(tweet)) 
-        # set sentiment 
-        if analysis.sentiment.polarity > 0: 
-            return 'positive'
-        elif analysis.sentiment.polarity == 0: 
-            return 'neutral'
-        else: 
-            return 'negative'
-  
-    def get_tweets(self, query, count = 10):
-        tweets = [] 
-  
-        try: 
-            fetched_tweets = self.api.search(q = query, count = count)
-            for tweet in fetched_tweets:
-                parsed_tweet = {}
-                parsed_tweet['text'] = tweet.text 
-                parsed_tweet['sentiment'] = self.get_tweet_sentiment(tweet.text) 
-                if tweet.retweet_count > 0: 
-                    if parsed_tweet not in tweets: 
-                        tweets.append(parsed_tweet) 
-                else: 
-                    tweets.append(parsed_tweet) 
-            return tweets 
-  
-        except tweepy.TweepError as e: 
-            print("Error : " + str(e)) 
-  
-def main():
-    api = TwitterClient() 
-    tweets = api.get_tweets(query = 'Donald Trump', count = 200) 
-
-    ptweets = [tweet for tweet in tweets if tweet['sentiment'] == 'positive'] 
-
-    print("Positive tweets percentage: {} %".format(100*len(ptweets)/len(tweets))) 
-
-    ntweets = [tweet for tweet in tweets if tweet['sentiment'] == 'negative'] 
-
-    print("Negative tweets percentage: {} %".format(100*len(ntweets)/len(tweets))) 
-
-    print("Neutral tweets percentage: {} % \ 
-        ".format(100*(len(tweets) -(len( ntweets )+len( ptweets)))/len(tweets))) 
-  
-
-    print("\n\nPositive tweets:") 
-    for tweet in ptweets[:10]: 
-        print(tweet['text']) 
-
-    print("\n\nNegative tweets:") 
-    for tweet in ntweets[:10]: 
-        print(tweet['text']) 
-  
-if __name__ == "__main__": 
-    main() 
\ No newline at end of file