updated roboflow model to improve accuracy

app.py

@@ -108,18 +108,18 @@ def fetchImage():
         print(f"Failed to download image. Status code: {response.status_code}")
     image = cv2.imread(file_name)
 
-    repair_costs_inr = {
-        "damage-front-windscreen": 1200,  # Includes glass replacement and labor
-        "damaged-door": 1500,  # Includes denting, painting, and panel replacement if needed
-        "damaged-fender": 900,  # Includes denting, painting, and possible part replacement
-        "damaged-front-bumper": 1100,  # Includes bumper replacement and painting
-        "damaged-head-light": 700,  # Headlight unit replacement
-        "damaged-hood": 1400,  # Hood denting, painting, or full replacement
-        "damaged-rear-bumper": 1000,  # Bumper replacement and painting
-        "damaged-rear-window": 1100,  # Rear windshield glass replacement
-        "damaged-side-window": 800,  # Side window glass replacement
-        "damaged-tail-light": 600,  # Tail light unit replacement
-        "quarterpanel-dent": 1200  # Dent removal and repainting
+    repair_costs = {
+        "damage-front-windscreen": 500,
+        "damaged-door": 550,
+        "damaged-fender": 450,
+        "damaged-front-bumper": 440,
+        "damaged-head-light": 480,
+        "damaged-hood": 490,
+        "damaged-rear-bumper": 510,
+        "damaged-rear-window": 505,
+        "damaged-side-window": 501,
+        "damaged-tail-light": 478,
+        "quaterpanel-dent": 520
     }
 
     total_cost = 0