Update app.py

app.py

@@ -81,23 +81,44 @@ def main():
     st.title("YouTube Comments Sentiment Analysis")
     
     # Create sidebar section for app description and links
-    st.sidebar.title("App Information")
-    st.sidebar.write("Welcome to the YouTube Comments Sentiment Analysis App.")
-    st.sidebar.write("This app extracts comments from a YouTube video and analyzes their sentiment.")
-    st.sidebar.write("Feel free to check out our other apps:")
+    st.sidebar.title("Comment Feel")
+    st.sidebar.write("Welcome to the YouTube Comments Sentiment Analysis App 🎥")
+    st.sidebar.write("""
+                    
+                    **Description** 📝
+                    This project utilizes a pre-trained sentiment analysis model based on BERT and TensorFlow to analyze the sentiment of comments from a YouTube video. Users can input a YouTube video URL, fetch related comments, and determine their sentiments (positive, negative, or neutral).
+                    
+                    Input a valid YouTube video URL in the provided text box 🔗.
+                    Click "Extract Comments and Analyze" to fetch comments and analyze sentiments 🔄.
+                    View sentiment analysis results via pie and bar charts 📊.
+                     
+                    Credits 🌟
+                    
+                    Coder: Aniket Panchal
+                    GitHub: https://github.com/Aniket2021448
+                    
+                    Contact 📧
+                    For any inquiries or feedback, please contact aniketpanchal1257@gmail.com
+    
+    """)
+    st.sidebar.write("Feel free to check out my other apps:")
     
     # Dropdown menu for other app links
     app_links = {
-        "App 1": "https://your-app-1-url.com",
-        "App 2": "https://your-app-2-url.com"
+        "Movie-mind": "https://movie-mind.streamlit.app/",
+        "find-fake-news": "https://find-fake-news.streamlit.app/"
     }
     selected_app = st.sidebar.selectbox("Select an App", list(app_links.keys()))
     if st.sidebar.button("Go to App"):
         st.sidebar.write(f"You are now redirected to {selected_app}")
         st.sidebar.write(f"Link: {app_links[selected_app]}")
         st.sidebar.success("Redirected successfully!")
+
+    st.sidebar.write("In case the apps are down, because of less usage")
+    st.sidebar.write("Kindly reach out to me @ aniketpanchal1257@gmail.com")
     
-    st.write("Enter a YouTube video link below:")
+    
+    st.write("Enter a YouTube video link below: :movie_camera:")
     video_url = st.text_input("YouTube Video URL:")
     
     if st.button("Extract Comments and Analyze"):
@@ -106,12 +127,15 @@ def main():
             comments_df = fetch_comments(video_id)
             comments_df['sentiment'] = comments_df['comment'].apply(lambda x: analyze_sentiment(x[:512]))
             sentiment_counts = comments_df['sentiment'].value_counts()
-            
+
+            st.write("Based on top :100: comments from this video")
             # Create pie chart
+            st.write("Pie chart representation 	:chart_with_upwards_trend:")
             fig_pie = px.pie(values=sentiment_counts.values, names=sentiment_counts.index, title='Sentiment Distribution')
             st.plotly_chart(fig_pie, use_container_width=True)
 
             # Create bar chart
+            st.write("Bar plot representation :bar_chart:")
             fig_bar = px.bar(x=sentiment_counts.index, y=sentiment_counts.values, labels={'x': 'Sentiment', 'y': 'Count'}, title='Sentiment Counts')
             st.plotly_chart(fig_bar)