Update app.py

app.py

@@ -1,3 +1,4 @@
+
 import os
 import gradio as gr
 from dotenv import load_dotenv
@@ -17,7 +18,7 @@ if not OPENAI_API_KEY:
 
 client = OpenAI(api_key=OPENAI_API_KEY)
 
-# ✅ Chatbot Response Function
+# ✅ Chatbot Response Function with Debugging
 def respond(user_message, history, selected_method):
     if not user_message:
         return "", history, selected_method
@@ -29,24 +30,31 @@ def respond(user_message, history, selected_method):
     # ✅ Ensure history is a list of strictly two-element tuples
     if not isinstance(history, list):
         history = []
+    
+    # ✅ Convert all history elements to strings and tuples if necessary
     history = [(str(h[0]), str(h[1])) for h in history if isinstance(h, tuple) and len(h) == 2]
 
+    print("\nDEBUG: Current History:", history)  # 🛠 Debugging step
+
     # ✅ If user selects a method, store it and provide the method-specific prompt
     if user_message in valid_methods:
         selected_method = user_message  # Store the method
         method_prompt = get_prompt_for_method(user_message)
         history.append((user_message, method_prompt))  # Ensure correct format
+        print("\nDEBUG: Method Selected:", selected_method)  # 🛠 Debugging
         return method_prompt, history, selected_method
 
     # ✅ If a method has already been selected, provide feedback
     if selected_method:
         feedback = get_feedback_for_method(selected_method, user_message)
         history.append((user_message, feedback))  # Ensure correct format
+        print("\nDEBUG: Providing Feedback:", feedback)  # 🛠 Debugging
         return feedback, history, selected_method
 
     # ✅ Ensure chatbot always responds with a valid tuple
     error_msg = "❌ Please select a method first (Bar Model, Double Number Line, or Equation)."
     history.append((user_message, error_msg))  # Ensure correct format
+    print("\nDEBUG: Error Message Triggered")  # 🛠 Debugging
     return error_msg, history, selected_method
 
 # ✅ Gradio UI Setup