Update app.py
Browse files
app.py
CHANGED
@@ -12,48 +12,48 @@ if os.path.exists(".env"):
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OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
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client = OpenAI(api_key=OPENAI_API_KEY)
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#
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REFLECTION_STEPS = [
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{
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"title": "Pre-Video Reflection",
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"question": "Before watching the video,
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"follow_up": "You used **{response}**—interesting! Why do you think this strategy is effective for solving proportional reasoning problems?",
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"next_step": "Watch the Video"
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},
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{
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"title": "Watch the Video",
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"question": "Now, please watch the video at the provided link
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"follow_up": "Great! Now that you've watched the video, let's reflect on key aspects of the lesson.",
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"next_step": "
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},
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{
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"title": "
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"question": "Let's start with **
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"follow_up": "You mentioned **{response}**. Can you explain how that supported students' creative problem-solving?",
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"next_step": "
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},
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{
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"title": "
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"question": "Now, let's reflect on **Small Group Interactions
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"follow_up": "Interesting! You noted **{response}**. How do you think that helped students deepen their understanding?",
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"next_step": "
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},
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{
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"title": "
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"question": "Next, let’s discuss **Student Reasoning and Connections
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"follow_up": "That’s a great point about **{response}**. Can you explain why this was significant in their problem-solving?",
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"next_step": "
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},
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{
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"title": "
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"question": "Now, let’s reflect on **Common Core Practice Standards
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"follow_up": "You mentioned **{response}**. How do you see this practice supporting students' proportional reasoning?",
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"next_step": "Problem Posing Activity"
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},
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{
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"title": "Problem Posing Activity",
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"question": "Let’s engage in a **Problem-Posing Activity
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"follow_up": "That's an interesting problem! Does it allow for multiple solution paths? How does it connect to
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"next_step": "Final Reflection"
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},
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{
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@@ -64,21 +64,6 @@ REFLECTION_STEPS = [
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}
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]
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def gpt_call(history, user_message, model="gpt-4o-mini", max_tokens=1024, temperature=0.7, top_p=0.95):
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messages = [{"role": "system", "content": MAIN_PROMPT}]
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for user_text, assistant_text in history:
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if user_text:
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messages.append({"role": "user", "content": user_text})
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if assistant_text:
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messages.append({"role": "assistant", "content": assistant_text})
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messages.append({"role": "user", "content": user_message})
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completion = client.chat.completions.create(model=model, messages=messages, max_tokens=max_tokens, temperature=temperature, top_p=top_p)
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return completion.choices[0].message.content
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def respond(user_message, history):
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if not user_message:
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return "", history
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OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
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client = OpenAI(api_key=OPENAI_API_KEY)
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# Reflection steps appear one-by-one
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REFLECTION_STEPS = [
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{
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"title": "Pre-Video Reflection",
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"question": "Before watching the video, how did you approach solving the task? What strategies did you use?",
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"follow_up": "You used **{response}**—interesting! Why do you think this strategy is effective for solving proportional reasoning problems?",
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"next_step": "Watch the Video"
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},
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{
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"title": "Watch the Video",
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"question": "Now, please watch the video at the provided link. Let me know when you're done watching.",
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"follow_up": "Great! Now that you've watched the video, let's reflect on key aspects of the lesson.",
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"next_step": "Observing Creativity-Directed Practices"
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},
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{
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"title": "Observing Creativity-Directed Practices",
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"question": "Let's start with **Creativity-Directed Practices**. What stood out to you about how the teacher encouraged student creativity?",
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"follow_up": "You mentioned **{response}**. Can you explain how that supported students' creative problem-solving?",
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"next_step": "Small Group Interactions"
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},
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{
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"title": "Small Group Interactions",
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"question": "Now, let's reflect on **Small Group Interactions**. What did you notice about how the teacher guided student discussions?",
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"follow_up": "Interesting! You noted **{response}**. How do you think that helped students deepen their understanding?",
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"next_step": "Student Reasoning and Connections"
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},
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{
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"title": "Student Reasoning and Connections",
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"question": "Next, let’s discuss **Student Reasoning and Connections**. How did students reason through the task?",
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"follow_up": "That’s a great point about **{response}**. Can you explain why this was significant in their problem-solving?",
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"next_step": "Common Core Practice Standards"
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},
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{
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"title": "Common Core Practice Standards",
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"question": "Now, let’s reflect on **Common Core Practice Standards**. Which ones do you think were emphasized in the lesson?",
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"follow_up": "You mentioned **{response}**. How do you see this practice supporting students' proportional reasoning?",
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"next_step": "Problem Posing Activity"
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},
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{
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"title": "Problem Posing Activity",
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"question": "Let’s engage in a **Problem-Posing Activity**. Pose a problem that encourages students to use visuals and proportional reasoning.",
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"follow_up": "That's an interesting problem! Does it allow for multiple solution paths? How does it connect to Common Core practices we discussed?",
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"next_step": "Final Reflection"
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},
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{
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}
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]
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def respond(user_message, history):
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if not user_message:
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return "", history
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