switch to use ultralyticsplus

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-from ultralytics import YOLO
+from ultralyticsplus import YOLO
 
 def yolov8_inference(
     image: gr.inputs.Image = None,
@@ -51,18 +51,19 @@ def yolov8_inference(
 
 inputs = [
     # gr.inputs.Image(type="filepath", label="Input Image"),
-    gr.image(source="upload", type="pil", label="Image Upload", interactive=True),
-    gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.25, step=0.05, label="Confidence Threshold"),
+    gr.Image(source="upload", type="pil", label="Image Upload", interactive=True),
+    gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.5, step=0.05, label="Confidence Threshold"),
     gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold"),
 ]
 
 outputs = gr.outputs.Image(type="filepath", label="Output Image")
 title = "Naruto Hand Seal Detection with YOLOv8"
 
-gr.Interface(
+myapp = gr.Interface(
     fn=yolov8_inference,
     inputs=inputs,
     outputs=outputs,
     title=title,
-    theme='huggingface',
-).launch(debug=True).queue()
+)
+myapp.queue()
+myapp.launch()