Update sentiment.py

sentiment.py

@@ -107,6 +107,7 @@ def transform_text(text):
 
 
 def tokenize(text):
+    print('inside tokenize')
     doc = nlp(text)
     return [token.text for token in doc]
 
@@ -123,6 +124,7 @@ def analyze_comments(results, query):
         all_comments = submission.comments.list()
 
         for comment in all_comments:
+            print('inside comment')
             comment_body = comment.body
 
             text = transform_text(comment_body)
@@ -130,6 +132,7 @@ def analyze_comments(results, query):
             comments_for_cloud.append(comment_body)
 
             if text:
+                print('inside text')
                 tokens = tokenize(text)
 
                 tokenized_input = tokenizer(