...

app.py

@@ -934,11 +934,11 @@ def predict_single(control_image, variant_image, business_model, customer_type,
         
         # Create enhanced output with confidence scores and training data info
         result = {
-            f"🏆 {winner}": f"{probability:.3f}",
-            f"📊 Model Confidence": f"{confidence_percentage:.1f}%",
-            f"📈 Training Data": f"{confidence_data['training_data_count']} samples",
-            f"✅ Historical Accuracy": f"{confidence_data['correct_predictions']}/{confidence_data['count']} correct",
-            f"🎯 Win/Loss Ratio": f"{confidence_data['actual_wins']} wins in {confidence_data['count']} tests"
+            f"{winner}": f"{probability:.3f}",
+            f"Model Confidence": f"{confidence_percentage:.1f}%",
+            f"Training Data": f"{confidence_data['training_data_count']} samples",
+            f"Historical Accuracy": f"{confidence_data['correct_predictions']}/{confidence_data['count']} correct",
+            f"Win/Loss Ratio": f"{confidence_data['actual_wins']} wins in {confidence_data['count']} tests"
         }
         
         print(f"🎯 Final result: {result}")