Update app.py

app.py

@@ -63,7 +63,7 @@ def generate_response(selected_question):
         #print(f"Error during topic analysis: {e}")
     
     # Adjusted to return a list of tuples as expected by the Chatbot component
-    new_response = (response + "\n\nTopics: " + topics_str)
+    new_response = (None, response + "\n\nTopics: " + topics_str)
     chat_history.append(new_response)
     
     
@@ -72,8 +72,8 @@ def generate_response(selected_question):
 with gr.Blocks() as demo:
     gr.Markdown(
     """
-    # Hello World!
-    Start typing below to see the output.
+    # Child safe chatbot project !
+   In the realm of digital communication, the development of an advanced chatbot that incorporates topic modeling represents a significant leap towards enhancing user interaction and maintaining focus during conversations. This innovative chatbot design is specifically engineered to streamline discussions by guiding users to select from a curated list of suggested questions. This approach is crafted to mitigate the risk of diverging into off-topic dialogues, which are common pitfalls in conventional chatbot systems.
     """)
     
     chatbot = gr.Chatbot(