Update app.py

app.py

@@ -30,9 +30,9 @@ COLORS = [
 
 
 def load_model():
-    """Load pretrained YOLOv9 model from KerasCV."""
-    model = keras_cv.models.YOLOV9Detector.from_preset(
-        "yolo_v9_m_pascalvoc",
+    """Load pretrained YOLOv8 model from KerasCV."""
+    model = keras_cv.models.YOLOV8Detector.from_preset(
+        "yolo_v8_m_pascalvoc",
         bounding_box_format="xyxy",
     )
     return model
@@ -120,8 +120,8 @@ def detect_objects(image, confidence_threshold=0.5):
 
 # Build the Gradio interface
 with gr.Blocks(title="Keras Object Detection") as demo:
-    gr.Markdown("# Object Detection with KerasCV YOLOv9")
-    gr.Markdown("Upload an image to detect objects using a pretrained YOLOv9 model.")
+    gr.Markdown("# Object Detection with KerasCV YOLOv8")
+    gr.Markdown("Upload an image to detect objects using a pretrained YOLOv8 model.")
 
     with gr.Row():
         with gr.Column():