Update app.py

app.py

@@ -55,7 +55,22 @@ def extract_video_id(video_url):
 def fetch_comments(video_id):
     # Example using youtube-comment-scraper-python library
     comments = scrape_comments(video_id)
-    return comments
+
+    request = youtube.videos().list(
+        part="snippet",
+        id=video_id
+    )
+    response = request.execute()
+
+    if response['items']:
+        video_info = response['items'][0]['snippet']
+        channel_name = video_info['channelTitle']
+        video_description = video_info['description']
+    else:
+        channel_name = "Unknown"
+        video_description = "No description available"
+
+    return comments, channel_name, video_description
 
 # Function to analyze sentiment for a single comment
 def analyze_sentiment(comment):
@@ -138,6 +153,9 @@ def main():
             comments_df['sentiment'] = comments_df['comment'].apply(lambda x: analyze_sentiment(x[:512]))
             sentiment_counts = comments_df['sentiment'].value_counts()
 
+            st.write(f"**Channel Name:** {channel_name}")
+            st.write(f"**Video Description:** {video_description}")
+            
             st.write("Based on top :100: comments from this video")
             # Create pie chart
             st.write("Pie chart representation 	:chart_with_upwards_trend:")