Create app.py

app.py

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+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()