Update app.py

app.py

@@ -1,3 +1,4 @@
+# Copyright (C) 2025 Anthony Casagrande
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
 import gradio as gr
@@ -9,15 +10,15 @@ model = None
 
 
 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."""
-    model = YOLO(model_name)
+    """Predicts objects in an image using a YOLOv11 model with adjustable confidence and IOU thresholds."""
+    model = YOLO("train29s.pt")
     results = model.predict(
         source=img,
         conf=conf_threshold,
         iou=iou_threshold,
         show_labels=True,
         show_conf=True,
-        imgsz=640,
+        imgsz=1280,
     )
 
     for r in results:
@@ -33,11 +34,11 @@ iface = gr.Interface(
         gr.Image(type="pil", label="Upload Image"),
         gr.Slider(minimum=0, maximum=1, value=0.25, label="Confidence threshold"),
         gr.Slider(minimum=0, maximum=1, value=0.45, label="IoU threshold"),
-        gr.Radio(choices=["yolo11n", "yolo11s", "yolo11n-seg", "yolo11s-seg", "yolo11n-pose", "yolo11s-pose"], label="Model Name", value="yolo11n"),
+        # gr.Radio(choices=["yolo11n", "yolo11s", "yolo11n-seg", "yolo11s-seg", "yolo11n-pose", "yolo11s-pose"], label="Model Name", value="yolo11n"),
     ],
     outputs=gr.Image(type="pil", label="Result"),
-    title="Ultralytics Gradio Application 🚀",
-    description="Upload images for inference. The Ultralytics YOLO11n model is used by default.",
+    title="RC Race Vision Gradio Application 🚀",
+    description="Upload images for inference. The RC Race Vision model is used by default.",
     examples=[
         [ASSETS / "bus.jpg", 0.25, 0.45, "yolo11n.pt"],
         [ASSETS / "zidane.jpg", 0.25, 0.45, "yolo11n.pt"],