Fix: Convert Tensor confidence score to float

app.py

@@ -23,9 +23,11 @@ def predict(image):
 
         # Run prediction
         pred, _, probs = model.predict(image)
-        print(f"✅ Prediction successful: {pred}, Confidence: {probs.max():.2f}")
+        confidence = float(probs.max())  # Convert Tensor to float
         
-        return f"Prediction: {pred} (Confidence: {probs.max():.2f})"
+        print(f"✅ Prediction successful: {pred}, Confidence: {confidence:.2f}")
+        
+        return f"Prediction: {pred} (Confidence: {confidence:.2f})"
     
     except Exception as e:
         print(f"❌ Error during prediction: {e}")