Update app.py

app.py

@@ -62,7 +62,7 @@ def yolov8_inference(
 inputs = [
     gr.inputs.Image(type="filepath", label="Input Image"),
     gr.inputs.Dropdown(["kadirnar/yolov8n-v8.0", "kadirnar/yolov8m-v8.0", "kadirnar/yolov8l-v8.0", "ultralyticsplus/yolov8s", "Snearec/detectorMalezasYolo8"], 
-                       default="kadirnar/yolov8m-v8.0", label="Model"),
+                       default="Snearec/detectorMalezasYolo8", 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"),
@@ -71,7 +71,6 @@ inputs = [
 outputs = gr.outputs.Image(type="filepath", label="Output Image")
 title = "Ultralytics YOLOv8: State-of-the-Art YOLO Models"
 
-examples = [['highway.jpg', 'kadirnar/yolov8m-v8.0', 640, 0.25, 0.45], ['highway1.jpg', 'kadirnar/yolov8l-v8.0', 640, 0.25, 0.45], ['small-vehicles1.jpeg', 'kadirnar/yolov8x-v8.0', 1280, 0.25, 0.45]]
 demo_app = gr.Interface(
     fn=yolov8_inference,
     inputs=inputs,