Update app.py

app.py

@@ -9,8 +9,6 @@ def download_models(model_id):
     hf_hub_download("kadirnar/Yolov10", filename=f"{model_id}", local_dir=f"./")
     return f"./{model_id}"
     
-MODEL_PATH = 'yolov10n.pt'
-model = YOLOv10(MODEL_PATH)
 box_annotator = sv.BoxAnnotator()
 category_dict = {
     0: 'person', 1: 'bicycle', 2: 'car', 3: 'motorcycle', 4: 'airplane', 5: 'bus',
@@ -35,6 +33,7 @@ category_dict = {
 @spaces.GPU(duration=200)
 def yolov10_inference(image, model_id, image_size, conf_threshold, iou_threshold):
     model_path = download_models(model_id)
+    model = YOLOv10(model_path)
     results = model(source=image, imgsz=image_size, iou=iou_threshold, conf=conf_threshold, verbose=False)[0]
     detections = sv.Detections.from_ultralytics(results)