Update app.py

app.py

@@ -39,11 +39,11 @@ model = YOLO(current_model_id)
 
 ###################################################
 def yolov8_img_inference(
-    image: gr.inputs.Image = None,
-    model_path: gr.inputs.Dropdown = None,
-    image_size: gr.inputs.Slider = 640,
-    conf_threshold: gr.inputs.Slider = 0.25,
-    iou_threshold: gr.inputs.Slider = 0.45,
+    image = None,
+    model_path =   None,
+    image_size =  640,
+    conf_threshold =  0.25,
+    iou_threshold =  0.45,
 ):
     # model = YOLO(model_path)
     global current_model_id
@@ -141,11 +141,11 @@ title = "Detect Thiên Việt productions"
 interface_image = gr.Interface(
     fn=yolov8_img_inference,
     inputs=[
-        gr.inputs.Image(type='pil'),
-        gr.inputs.Dropdown(model_ids, value=model_ids[-1]),
-        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"),
+        gr.Image(type='pil'),
+        gr.Dropdown(model_ids, value=model_ids[-1]),
+        gr.Slider(minimum=320, maximum=1280, default=640, step=32, label="Image Size"),
+        gr.Slider(minimum=0.0, maximum=1.0, default=0.25, step=0.05, label="Confidence Threshold"),
+        gr.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold"),
     ],
     outputs=[gr.Image(type="pil"),gr.Textbox(show_label=False)],
     title=title,