updated roboflow model to improve accuracy

app.py

@@ -270,14 +270,15 @@ def fetchImage():
             file_name, model_id="car-damage-detection-krsix/1")
     print(result)
     threshold = 0.3  # Adjust this as needed
-    filtered_labels = [item["class"]
+    filtered_labels = [item
                        for item in result["predictions"] if item["confidence"] >= threshold]
 
     print(filtered_labels)
     labels = filtered_labels
     print(labels)
     for class_ in labels:
-        total_cost += repair_costs.get(class_, 0)
+        total_cost += repair_costs.get(class_["class"],
+                                       0) * class_["confidence"]
     result = {"total_cost": total_cost}
     print(result)