Update app.py

app.py

@@ -43,7 +43,7 @@ def detect_lanes_and_objects_image(image, model, confidence_threshold, iou_thres
     results = model(img_np, conf=confidence_threshold, iou=iou_threshold)
 
     detections = sv.Detections.from_ultralytics(results[0])
-    annotator = sv.BoxAnnotator(thickness=2, text_scale=0.5)
+    annotator = sv.BoxAnnotator(thickness=2)
     annotated_frame = annotator.annotate(scene=img_np, detections=detections)
 
     return annotated_frame
@@ -150,7 +150,10 @@ elif source_type == "Live Camera Feed":
     )
 
 
-st.markdown("---")
+st.markdown("Your markdown content here")
 st.markdown(
-    
-)
+    """
+    **Note:** This example uses YOLOv8 for object detection. Lane detection is a more complex task and requires additional image processing techniques. This is a simplified demo and will likely not perform well on complex or noisy video.
+    """
+    )
+