Update app.py

app.py

@@ -22,7 +22,7 @@ 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')
 
 ###################################################
 def yolov8_img_inference(
@@ -80,8 +80,8 @@ def yolov8_img_inference(
 
 inputs_image = [
     gr.inputs.Image(type="filepath", label="Input Image"),
-    gr.inputs.Dropdown(["linhcuem/chamdiem_yolov8_ver10"], 
-                       default="linhcuem/yolov8_chamdiem_ver15", label="Model"),
+    gr.inputs.Dropdown(["linhcuem/linhcuem/cham_diem_yolov8"], 
+                       default="linhcuem/cham_diem_yolov8_ver20", label="Model"),
     gr.inputs.Slider(minimum=320, maximum=1280, default=640, step=32, label="Image Size"),
     gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.25, step=0.05, label="Confidence Threshold"),
     gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold"),