smaller changes

textclassifier/TextClassifier.py

@@ -42,18 +42,13 @@ class TextClassifier:
         self.num_tweets = num_tweets
         self.user_name = user_name
         self.ts = TwitterScraper.TwitterScraper(from_date, to_date, num_tweets)
+
         self.df = self.ts.scrape_by_user(user_name)
         # Make id as type int64
         self.df['id'] = self.df['id'].copy().astype(int)
         # self.api_key = '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'
         openai.api_key = OPENAI_AUTHTOKEN
 
-    def classify_topic_and_sentiment(self):
-        self.classify_topic_of_tweets()
-        self.classify_sentiment_of_tweets()
-
-        # save the dataframe to a csv file
-
     @staticmethod
     def cleanup_sentiment_results(classification_unclean):
         """
@@ -307,7 +302,6 @@ class TextClassifier:
             print("Created {}.".format(filename))
             return None
 
-
     def __repr__(self):
         """
         Gives a string that describes which user is classified