updated roboflow model to improve accuracy

app.py

@@ -232,12 +232,21 @@ def fetchImage():
     with CLIENT.use_configuration(custom_configuration):
         result = CLIENT.infer(
             file_name, model_id="car-recognition-v4/4")
-    print(result)
-    threshold = 0.3  # Adjust this as needed
     filtered_labels = [item
                        for item in result["predictions"] if item["confidence"] >= threshold]
 
-    print(filtered_labels)
+    if filtered_labels == []:
+        i = 0.7
+        while filtered_labels == []:
+            i = i - 0.1
+            custom_configuration = InferenceConfiguration(
+                confidence_threshold=i)
+            with CLIENT.use_configuration(custom_configuration):
+                result = CLIENT.infer(
+                    file_name, model_id="car-recognition-v4/4")
+            threshold = 0.3  # Adjust this as needed
+            filtered_labels = [item
+                               for item in result["predictions"] if item["confidence"] >= threshold]
     labels = filtered_labels
     print(labels)
     for class_ in labels: