import gradio as gr

def mock_analyze(text):
    if not text.strip():
        return {"Error": "Please enter a journal entry."}
    
    # Simulate realistic output based on input
    if "sad" in text.lower() or "hurt" in text.lower() or "lonely" in text.lower():
        return {
            "Prediction": "Emotion: Sadness",
            "Confidence": 0.92,
            "Suggested Action": "Student may be feeling isolated. Consider a 1:1 check-in or peer connection activity."
        }
    elif "happy" in text.lower() or "joy" in text.lower() or "excited" in text.lower():
        return {
            "Prediction": "Emotion: Joy",
            "Confidence": 0.87,
            "Suggested Action": "Positive engagement! Reinforce with praise or group recognition."
        }
    elif "fixed" in text.lower() or "can't" in text.lower() or "always fail" in text.lower():
        return {
            "Prediction": "Mindset: Fixed",
            "Confidence": 0.85,
            "Suggested Action": "Introduce growth-mindset stories or challenges to reframe struggle as learning."
        }
    else:
        return {
            "Prediction": "Risk: Low",
            "Confidence": 0.78,
            "Suggested Action": "No immediate concern. Continue monitoring through weekly check-ins."
        }

gr.Interface(
    fn=mock_analyze,
    inputs=gr.Textbox(
        lines=5,
        placeholder="Example: I felt sad today because my friend didn’t talk to me."
    ),
    outputs="json",
    title="🧠 MindSpark-1.0 (Demo)",
    description="""
    <strong>Ethical AI for student emotional insight</strong> — built by <a href='https://ciphemic.com' target='_blank'>Ciphemic</a>.<br>
    This is a <i>simulation</i> of the offline AI that runs on Chromebooks in schools.<br>
    🔒 No data is collected. No internet required in production.
    """
).launch()