Update app.py

app.py

@@ -26,8 +26,8 @@ image_path = [['test_images/2a998cfb0901db5f8210.jpg','linhcuem/cham_diem_yolov8
              ['test_images/ee106392e56837366e79.jpg','linhcuem/cham_diem_yolov8', 640, 0.25, 0.45], ['test_images/f88d2214a4ee76b02fff.jpg','linhcuem/cham_diem_yolov8', 640, 0.25, 0.45]]
 
 # Load YOLO model
-# model = YOLO('linhcuem/cham_diem_yolov8')
-model = YOLO('linhcuem/cham_diem_yolov8_ver20')
+model = YOLO('linhcuem/cham_diem_yolov8')
+# model = YOLO('linhcuem/cham_diem_yolov8_ver20')
 
 ###################################################
 def yolov8_img_inference(
@@ -128,8 +128,8 @@ interface_image = gr.Interface(
     fn=yolov8_img_inference,
     inputs=[
         gr.Image(type='pil'),
-        gr.Dropdown(["linhcuem/cham_diem_yolov8_ver20"],
-                   default="linhcuem/cham_diem_yolov8_ver20"),
+        gr.Dropdown(["linhcuem/cham_diem_yolov8"],
+                   default="linhcuem/cham_diem_yolov8"),
         gr.Slider(maximum=1280, step=32, value=640),
         gr.Slider(maximum=1.0, step=0.05, value=0.25),
         gr.Slider(maximum=1.0, step=0.05, value=0.45),