Update sentiment.py

sentiment.py

@@ -50,18 +50,20 @@ model.classifier = torch.nn.Linear(768, 2)
 
 
 def get_sentiment(query):
-    print(query)
+    print('inside get sentiment')
     filename = f"data/sentiment_analysis/{query}_results.pkl"
     saved_data = load_data(filename)
    
     if saved_data:
+        print('inside saved_data')
         positive, negative, _ = saved_data
         wordcloud = f'static/images/wordcloud/{query}_cloud.png'
         return positive, negative, wordcloud
     else:
-       
+       print(' inside else not saved data')
         results = get_reddit_results(query)
         if not results:
+            print('no results')
             error = "No results found for query"
             return error
 
@@ -73,11 +75,11 @@ def get_sentiment(query):
 
 
 def get_reddit_results(query):
-    print(query)
+    print('inside get reddit result')
     sub = reddit.subreddit('noveltranslations+progressionfantasy')
     results = sub.search(query, limit=1)
     
-    print(results)
+    print(results[0])
     return list(results)
 
 
@@ -103,6 +105,7 @@ def analyze_comments(results, query):
     comments_for_cloud = []
 
     for submission in results:
+        print('inside submission')
         submission.comments.replace_more(limit=None)
         all_comments = submission.comments.list()
 
@@ -110,6 +113,7 @@ def analyze_comments(results, query):
             comment_body = comment.body
 
             text = transform_text(comment_body)
+            print(text)
             comments_for_cloud.append(comment_body)
 
             if text: