Update app.py

app.py

@@ -17,32 +17,38 @@ REFLECTION_STEPS = [
     {
         "title": "Observing Creativity-Directed Practices",
         "question": "Now that you've watched the video, let's start with **Observing Creativity-Directed Practices.**\n\nWhat stood out to you the most about how the teacher encouraged student creativity?",
-        "follow_up": "Interesting! You mentioned **{response}**. Can you explain why that strategy is effective in fostering creativity?"
+        "follow_up": "Interesting! You mentioned **{response}**. Can you explain why that strategy is effective in fostering creativity?",
+        "next_step": "Small Group Interactions"
     },
     {
         "title": "Small Group Interactions",
         "question": "Let's move to **Small Group Interactions.**\n\nWhat did you notice about how the teacher guided student discussions?",
-        "follow_up": "You noted **{response}**. How do you think that influenced students' understanding of the problem?"
+        "follow_up": "You noted **{response}**. How do you think that influenced students' understanding of the problem?",
+        "next_step": "Student Reasoning and Connections"
     },
     {
         "title": "Student Reasoning and Connections",
         "question": "Next, let’s analyze **Student Reasoning and Connections.**\n\nHow did students reason through the task? What connections did they make between percent relationships and fractions?",
-        "follow_up": "That’s a great point about **{response}**. Can you explain why this was significant in their problem-solving process?"
+        "follow_up": "That’s a great point about **{response}**. Can you explain why this was significant in their problem-solving process?",
+        "next_step": "Common Core Practice Standards"
     },
     {
         "title": "Common Core Practice Standards",
         "question": "Now, let’s discuss **Common Core Practice Standards.**\n\nWhich Common Core practice standards do you think the teacher emphasized during the lesson?",
-        "follow_up": "You mentioned **{response}**. How do you see this practice supporting students' proportional reasoning?"
+        "follow_up": "You mentioned **{response}**. How do you see this practice supporting students' proportional reasoning?",
+        "next_step": "Problem Posing Activity"
     },
     {
         "title": "Problem Posing Activity",
         "question": "Let’s engage in a **Problem-Posing Activity.**\n\nBased on what you observed, pose a problem that encourages students to use visuals and proportional reasoning.",
-        "follow_up": "That's an interesting problem! Does it allow for multiple solution paths? How does it connect to the Common Core practices we discussed?"
+        "follow_up": "That's an interesting problem! Does it allow for multiple solution paths? How does it connect to the Common Core practices we discussed?",
+        "next_step": "Final Reflection"
     },
     {
         "title": "Final Reflection",
         "question": "📚 **Final Reflection**\n\nWhat’s one change you will make in your own teaching based on this module?",
-        "follow_up": "That’s a great insight! How do you think implementing **{response}** will impact student learning?"
+        "follow_up": "That’s a great insight! How do you think implementing **{response}** will impact student learning?",
+        "next_step": None  # End of reflections
     }
 ]
 
@@ -65,8 +71,10 @@ def respond(user_message, history):
     if not user_message:
         return "", history
 
-    # Determine the current step in the reflection process
-    reflection_index = len([h for h in history if "Reflection Step" in h[1]])  
+    # Find the last reflection step completed
+    completed_steps = [h for h in history if "Reflection Step" in h[1]]
+    reflection_index = len(completed_steps)
+
     if reflection_index < len(REFLECTION_STEPS):
         current_step = REFLECTION_STEPS[reflection_index]
         next_reflection = current_step["question"]
@@ -75,12 +83,12 @@ def respond(user_message, history):
 
     assistant_reply = gpt_call(history, user_message)
 
-    # Adjust AI response to guide sequential discussion
+    # Follow-up question before moving on
     if reflection_index > 0:
         follow_up_prompt = REFLECTION_STEPS[reflection_index - 1]["follow_up"].format(response=user_message)
         assistant_reply += f"\n\n{follow_up_prompt}"
 
-    # Append the assistant's response and next reflection question
+    # Append the assistant's response and introduce the next reflection question
     history.append((user_message, assistant_reply))
     history.append(("", f"**Reflection Step {reflection_index + 1}:** {next_reflection}"))