updated roboflow model to improve accuracy

app.py

@@ -143,53 +143,17 @@ def fetchImage():
 
     # Define a repair cost dictionary (per part)
     repair_costs = {
-        "Car-Damage-Detection-1KxY": 1000,  # General damage assessment cost
-        "Bodypanel-Dent": 200*2,
-        "Front-Windscreen-Damage": 400,
-        "Headlight-Damage": 250*2*2,
-        "Rear-windscreen-Damage": 350,
-        "RunningBoard-Dent": 150,
-        "Sidemirror-Damage": 180*2,
-        "Signlight-Damage": 120*2,
-        "Taillight-Damage": 220*2,
-        "back-bumper": 500,
-        "back-glass": 400,
-        "bonnet-dent": 300,
-        "boot-dent": 350,
-        "broken_lamp": 100*2*2,
-        "crack": 250*2*2,
-        "damaged-door": 600,
-        "damaged-front-bumper": 550,
-        "damaged-head-light": 270*2,
-        "damaged-hood": 500,
-        "damaged-rear-bumper": 520,
-        "damaged-rear-window": 380*2,
-        "damaged-tail-light": 230*2,
-        "damaged-trunk": 600,
-        "damaged-window": 280*2*2,
-        "damaged-windscreen": 450,
-        "dent": 200*2,
-        "dent-or-scratch": 180*2,
-        "door": 700,
-        "doorouter-dent": 250,
-        "fender-dent": 220*2,
-        "flat_tire": 100*2*2,
-        "front-bumper": 500,
-        "front-bumper-dent": 450,
-        "front-glass": 400,
-        "headlight": 250*2,
-        "hood": 500,
-        "mirror": 180*2*2,
-        "pillar-dent": 220*2,
-        "quaterpanel-dent": 270,
-        "rear-bumper-dent": 480,
-        "roof-dent": 400,
-        "scratch": 150,
-        "shattered_glass": 500,
-        "taillight": 220*2,
-        "trunk": 600,
-        "wheel": 250*2,
-        "window": 300,
+        "damage-front-windscreen": 950,
+        "damaged-door": 720,
+        "damaged-fender": 680,
+        "damaged-front-bumper": 890,
+        "damaged-head-light": 530,
+        "damaged-hood": 970,
+        "damaged-rear-bumper": 910,
+        "damaged-rear-window": 760,
+        "damaged-side-window": 780,
+        "damaged-tail-light": 550,
+        "quaterpanel-dent": 640
     }
 
     total_cost = 0
@@ -267,7 +231,7 @@ def fetchImage():
     custom_configuration = InferenceConfiguration(confidence_threshold=0.7)
     with CLIENT.use_configuration(custom_configuration):
         result = CLIENT.infer(
-            file_name, model_id="car-damage-detection-krsix/1")
+            file_name, model_id="car-recognition-v4/4")
     print(result)
     threshold = 0.3  # Adjust this as needed
     filtered_labels = [item