Update app.py

app.py

@@ -137,7 +137,7 @@ def comments_analyzer(comments_df):
 
     data = {}
     #Categorize the comments by sentiment and count them
-    data['video_link'] = video_link
+    data['video_id'] = video_id
     data['total_comments'] = len(comments_df)
     data['num_positive'] = comments_df['sentiment'].value_counts().get('positive', 0)
     data['num_neutral'] = comments_df['sentiment'].value_counts().get('neutral', 0)
@@ -239,7 +239,7 @@ def process_youtube_comments(youtube_link, max_comments, stop_words):
     # Process the YouTube link and generate the word cloud, summary, and sentiment analysis
     
     # Pull comments from the YouTube Video
-    comments_df = comments_collector(video_link=video_id, max_comments=max_comments)
+    comments_df = comments_collector(video_link=youtube_link, max_comments=max_comments)
     # Analyze
     analysis_dict = comments_analyzer(comments_df)
     long_text = analysis_dict['blended_comments']