lean

app.py

@@ -1,13 +1,13 @@
 import gradio as gr
 
-
+from ultralytics import ASSETS
 
 model = None
 
 # ./darknet detect cfg/yolov2.cfg yolov2.weights ~/OneDrive\ -\ One\ Thousand\ GmbH/3.jpg
 def predict_image(img, conf_threshold, iou_threshold, model_name):
     """Predicts objects in an image using a YOLOv8 model with adjustable confidence and IOU thresholds."""
-    pass
+    return img
 
 
 iface = gr.Interface(
@@ -21,5 +21,9 @@ iface = gr.Interface(
     outputs=gr.Image(type="pil", label="Result"),
     title="Ultralytics Gradio Application 🚀",
     description="Upload images for inference. The Ultralytics YOLO11n model is used by default.",
+    examples=[
+        [ASSETS / "bus.jpg", 0.25, 0.45, "yolo11n.pt"],
+        [ASSETS / "zidane.jpg", 0.25, 0.45, "yolo11n.pt"],
+    ],
 )
 iface.launch(share=True)