Update app.py

app.py

@@ -61,10 +61,10 @@ def generate_response(selected_question):
         chat_history.append(new_response)
         follow_up_questions = []
     
-    return chat_history, [[q] for q in follow_up_questions]
+    return chat_history, follow_up_questions
 
-def update_examples(follow_up_questions):
-    return gr.Dataframe.update(value=[[q] for q in follow_up_questions])
+def update_suggested_questions(follow_up_questions):
+    return gr.Markdown.update(value="\n".join(f"* {q}" for q in follow_up_questions))
 
 # CSS for the phone layout and background
 css = """
@@ -97,6 +97,7 @@ with gr.Blocks(css=css) as demo:
             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.
             """
             )
+            suggested_questions = gr.Markdown("### Suggested Questions:\n\n* No questions yet.")
         with gr.Column(scale=1, elem_id="chat-container"):
             chatbot = gr.Chatbot(
                 initialize_chat(),
@@ -110,20 +111,7 @@ with gr.Blocks(css=css) as demo:
                 txt = gr.Textbox(scale=4, show_label=False, placeholder="Select Question", container=False, interactive=False)  # Adjust based on need
                 btn = gr.Button("Submit")
 
-            examples_df = gr.Dataframe(headers=["Suggested Questions"], datatype="str", interactive=False)
-
-            btn.click(fn=generate_response, inputs=[txt], outputs=[chatbot, examples_df])
-
-            examples = gr.Examples(
-                examples=[
-                    ["What are the basic requirements to become an airforce pilot?"],
-                    ["How long does it take to train as an airforce pilot?"],
-                    ["Can you describe a day in the life of an airforce pilot?"]
-                ],
-                inputs=[txt],
-                outputs=[chatbot],
-                label="Select Question"
-            )
+            btn.click(fn=generate_response, inputs=[txt], outputs=[chatbot, suggested_questions])
 
             chatbot.like(print_like_dislike, None, None)