Update app.py

app.py

@@ -2,8 +2,8 @@ import os
 import gradio as gr
 from dotenv import load_dotenv
 from openai import OpenAI
-from prompts.main_prompt import MAIN_PROMPT, get_prompt_for_method, get_feedback_for_method
 from prompts.initial_prompt import INITIAL_PROMPT
+from prompts.main_prompt import MAIN_PROMPT, get_prompt_for_method, get_feedback_for_method
 
 # ✅ Load API key from .env file
 if os.path.exists(".env"):
@@ -17,46 +17,29 @@ if not OPENAI_API_KEY:
 
 client = OpenAI(api_key=OPENAI_API_KEY)
 
-# ✅ Track the selected method
-selected_method = None  # This will store which method the teacher selects
-
 # ✅ Chatbot Response Function
 def respond(user_message, history):
-    """
-    Handles user input for the chatbot.
-    - Step 1: Teacher selects a method (Bar Model, Double Number Line, or Equation).
-    - Step 2: AI asks teacher to explain their reasoning before giving guidance.
-    - Step 3: AI listens to teacher's explanation and provides feedback.
-    """
-    global selected_method  # Store the selected method so AI remembers it
-
-    user_message = user_message.strip().lower()
-
-    # ✅ Step 1: Check if user selected a method (but hasn't explained yet)
-    if user_message in ["bar model", "double number line", "equation"]:
-        selected_method = user_message  # Store selected method
-        response = get_prompt_for_method(user_message)  # Ask for reasoning
-        history.append((user_message, response))
+    if not user_message:
         return "", history
 
-    # ✅ Step 2: If a method was selected, process teacher's explanation
-    if selected_method:
-        response = get_feedback_for_method(selected_method, user_message)  # Give feedback
-        history.append((user_message, response))
-        return "", history
+    # ✅ Check if user selected a method
+    if user_message.lower() in ["bar model", "double number line", "equation"]:
+        return get_prompt_for_method(user_message), history + [(user_message, get_prompt_for_method(user_message))]
 
-    # ✅ If no method is selected yet, ask the user to select one
-    if not selected_method:
-        return "I didn’t understand that. Please select a method first (Bar Model, Double Number Line, or Equation).", history
+    # ✅ Process feedback based on last recorded method
+    if history and history[-1][0].lower() in ["bar model", "double number line", "equation"]:
+        selected_method = history[-1][0]
+        feedback = get_feedback_for_method(selected_method, user_message)
+        return feedback, history + [(user_message, feedback)]
 
-    return "", history  # ✅ Maintain conversation flow
+    return "I didn’t understand that. Please select a method first (Bar Model, Double Number Line, or Equation).", history
 
 # ✅ Gradio UI Setup
 with gr.Blocks() as demo:
     gr.Markdown("## 🤖 AI-Guided Math PD Chatbot")
 
-    chatbot = gr.Chatbot(value=[(INITIAL_PROMPT, "")], height=500)  
-    state_history = gr.State([(INITIAL_PROMPT, "")])  
+    chatbot = gr.Chatbot(value=[(INITIAL_PROMPT, "")], height=500)
+    state_history = gr.State([(INITIAL_PROMPT, "")])
 
     user_input = gr.Textbox(placeholder="Type your message here...", label="Your Input")