Update app.py

app.py

@@ -48,8 +48,8 @@ def yolov8_inference(
 
 inputs = [
     gr.inputs.Image(type="filepath", label="Input Image"),
-    gr.inputs.Dropdown(["aijack/yv8/yv8n", "aijack/yv8/yv8m","aijack/yv8x"], 
-                       default="aijack/yv8m", label="Model"),
+    gr.inputs.Dropdown(["aijack/yv8/yv8n", "aijack/yv8/yv8m","aijack/yv8/yv8x"], 
+                       default="aijack/yv8/yv8m", 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"),
@@ -58,7 +58,7 @@ inputs = [
 outputs = gr.outputs.Image(type="filepath", label="Output Image")
 title = "Ultralytics YOLOv8: State-of-the-Art YOLO Models"
 
-examples = [['test1.jpg', 'aijack/yv8m', 640, 0.25, 0.45], ['test2', 'aijack/yv8x', 1280, 0.25, 0.45]]
+examples = [['test1.jpg', 'aijack/yv8/yv8m', 640, 0.25, 0.45], ['test2', 'aijack/yv8/yv8x', 1280, 0.25, 0.45]]
 demo_app = gr.Interface(
     fn=yolov8_inference,
     inputs=inputs,