Update app.py

app.py

@@ -12,6 +12,34 @@ if os.path.exists(".env"):
 OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
 client = OpenAI(api_key=OPENAI_API_KEY)
 
+# Define sequential reflection steps
+REFLECTION_STEPS = [
+    {
+        "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}**. Why do you think that approach was effective? Can you give an example from the video?"
+    },
+    {
+        "question": "Now, let’s move to **Small Group Interactions**.\n\nWhat did you notice about how the teacher engaged with students in small groups?",
+        "follow_up": "You noted **{response}**. How do you think that influenced students' understanding of the problem?"
+    },
+    {
+        "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?"
+    },
+    {
+        "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?"
+    },
+    {
+        "question": "Finally, 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?"
+    },
+    {
+        "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?"
+    }
+]
+
 def gpt_call(history, user_message, model="gpt-4o-mini", max_tokens=1024, temperature=0.7, top_p=0.95):
     messages = [{"role": "system", "content": MAIN_PROMPT}]
     
@@ -31,8 +59,24 @@ def respond(user_message, history):
     if not user_message:
         return "", history
 
+    # Determine current step in reflection process
+    reflection_index = len([h for h in history if "Reflection Step" in h[1]])  
+    if reflection_index < len(REFLECTION_STEPS):
+        next_reflection = REFLECTION_STEPS[reflection_index]["question"]
+    else:
+        next_reflection = "You've completed the reflections. Would you like to discuss anything further?"
+
     assistant_reply = gpt_call(history, user_message)
+
+    # Adjust AI response to guide sequential discussion
+    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
     history.append((user_message, assistant_reply))
+    history.append(("", f"**Reflection Step {reflection_index + 1}:** {next_reflection}"))
+    
     return "", history
 
 with gr.Blocks() as demo: