Update app.py

app.py

@@ -140,21 +140,28 @@ def respond(message, history, chatbot_topic_values, chatbot_mode_values, user_id
         topic_chunks = get_top_chunks(message, finance_embeddings, cleaned_finance)
 
     csv_advice = get_advice(user_id)
-    
-    if chatbot_mode_values and "General Advice" in chatbot_mode_values:
-        role_message = (
-            "You are a helpful and insightful chatbot who acts like a financial "
-            "advisor of a university student. Respond in under five bullet points, "
-            f"under 500 characters, using this context: {topic_chunks}"
-        )
-    elif chatbot_mode_values and "Personal Advice" in chatbot_mode_values:
-        role_message = (
-            "You are a helpful and insightful chatbot who acts like a financial "
-            "DO NOT ask the user for additional numbers or input"
-            f"Use the following spending data from the CSV file to provide advice {csv_advice}"
-        )
-    else:
-        role_message = f"You are a helpful chatbot. Use this context: {topic_chunks}"
+
+    role_message = (
+        "You are a helpful and insightful chatbot who acts like a financial "
+        "advisor for university students. DO NOT ask the user for additional input. "
+        f"Use the following spending data from the CSV file to provide advice: {csv_advice}. "
+        f"Also consider this context: {topic_chunks}"
+        
+    )
+    #if chatbot_mode_values and "General Advice" in chatbot_mode_values:
+     #   role_message = (
+      #      "You are a helpful and insightful chatbot who acts like a financial "
+       #     "advisor of a university student. Respond in under five bullet points, "
+        #    f"under 500 characters, using this context: {topic_chunks}"
+        #)
+    #elif chatbot_mode_values and "Personal Advice" in chatbot_mode_values:
+     #   role_message = (
+      #      "You are a helpful and insightful chatbot who acts like a financial "
+       #     "DO NOT ask the user for additional numbers or input"
+        #    f"Use the following spending data from the CSV file to provide advice {csv_advice}"
+        #)
+    #else:
+     #   role_message = f"You are a helpful chatbot. Use this context: {topic_chunks}"
     messages = [{"role": "assistant", "content": role_message}]
     if history:
         messages.extend(history)
@@ -221,15 +228,13 @@ with gr.Blocks(
 ) as demo:
         with gr.Row(scale=1):
             chatbot_topic=gr.CheckboxGroup(["Helping Charities", "Financial Aid"], label="What would you like advice about?")
-        with gr.Row(scale=1):
-            chatbot_mode=gr.CheckboxGroup(["General Advice", "Personal Advice"], label="How would you like the chatbot to respond?")
-
+       
         gr.ChatInterface(
-            fn=lambda msg, hist, topic_vals, mode_vals: respond(msg, hist, topic_vals, mode_vals),
+            fn=lambda msg, hist, topic_vals: respond(msg, hist, topic_vals),
             title="Finance Management Hub",
             description="Ask about your personal finance",
             type="messages",
-            additional_inputs=[chatbot_topic, chatbot_mode]
+            additional_inputs=[chatbot_topic]
     )
 #launching chatbot
 demo.launch()