Upload app.py

app.py

@@ -470,10 +470,18 @@ Answer:"""
         return answer, recommended_slide, recommended_label, relevant_slides
 
 # --- Gradio UI ---
-chatbot = CurriculumChatbot(fast_mode=True)  # Enable fast mode for better performance
+chatbot = CurriculumChatbot(fast_mode=False)  # Enable AI mode by default
 
-def gradio_chat(query):
-    answer, recommended_slide, recommended_label, relevant_slides = chatbot.chat(query)
+def gradio_chat(query, use_ai=True):
+    # Temporarily switch modes based on user preference
+    original_fast_mode = chatbot.fast_mode
+    chatbot.fast_mode = not use_ai
+    
+    try:
+        answer, recommended_slide, recommended_label, relevant_slides = chatbot.chat(query)
+    finally:
+        # Restore original mode
+        chatbot.fast_mode = original_fast_mode
     
     # Use the relevant slides (specific PDF with neighboring pages)
     gallery_items = relevant_slides if relevant_slides else []
@@ -488,6 +496,15 @@ with gr.Blocks(title="Inclusive World Curriculum Assistant", theme=gr.themes.Sof
         with gr.Column(scale=1):
             gr.Markdown("### 💬 Chatbot")
             gr.Markdown("**What questions do you have?**")
+            
+            # AI Mode Toggle
+            with gr.Row():
+                use_ai = gr.Checkbox(
+                    label="🤖 Enable AI Responses", 
+                    value=True, 
+                    info="Toggle AI-generated answers on/off"
+                )
+            
             question = gr.Textbox(
                 label="Question Input", 
                 placeholder="e.g., What are for loops? How do variables work? Explain functions...", 
@@ -509,8 +526,8 @@ with gr.Blocks(title="Inclusive World Curriculum Assistant", theme=gr.themes.Sof
             )
     
     # Event handlers
-    submit.click(fn=gradio_chat, inputs=question, outputs=[answer, gallery])
-    question.submit(fn=gradio_chat, inputs=question, outputs=[answer, gallery])
+    submit.click(fn=gradio_chat, inputs=[question, use_ai], outputs=[answer, gallery])
+    question.submit(fn=gradio_chat, inputs=[question, use_ai], outputs=[answer, gallery])
 
 if __name__ == "__main__":
     demo.launch()