Update app.py

app.py

@@ -20,7 +20,7 @@ model = YOLO('linhcuem/chamdiem_yolov8_ver10')
 
 ###################################################
 def yolov8_img_inference(
-    image: gr.inputs.Image= None,
+    image: gr.inputs.Image = None,
     model_path: gr.inputs.Dropdown = None,
     image_size: gr.inputs.Slider = 640,
     conf_threshold: gr.inputs.Slider = 0.25,
@@ -28,12 +28,13 @@ def yolov8_img_inference(
 ):
     model = YOLO(model_path)
     model.overrides['conf'] = conf_threshold
-    model.overrides['iou'] = iou_threshold
-    model.overrides['agnostic_nms'] = False
-    model.overrides['max_det'] = 1000
+    model.overrides['iou']= iou_threshold
+    model.overrides['agnostic_nms'] = False  # NMS class-agnostic
+    model.overrides['max_det'] = 1000 
+    # image = read_image(image)
     results = model.predict(image)
     render = render_result(model=model, image=image, result=results[0])
-
+    
     return render
 
 inputs_images = [