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app.py

@@ -40,8 +40,7 @@ def predict(image):
         class_id = 1 if pred[0][0] > 0.5 else 0
         confidence = pred[0][0] if class_id == 1 else 1 - pred[0][0]
         
-        return f"Classified as: {class_names[class_id]}
-Confidence: {confidence:.4f}"
+        return f"Classified as: {class_names[class_id]}\nConfidence: {confidence:.4f}"
     except Exception as e:
         return f"Error: {str(e)}"