Update app.py

app.py

@@ -3,19 +3,19 @@ import sahi
 import torch
 from ultralyticsplus import YOLO, render_model_output
 
-# Images
-sahi.utils.file.download_from_url(
-    "https://raw.githubusercontent.com/obss/sahi/main/tests/data/small-vehicles1.jpeg",
-    "highway.jpg",
-)
-sahi.utils.file.download_from_url(
-    "https://raw.githubusercontent.com/obss/sahi/main/tests/data/small-vehicles1.jpeg",
-    "small-vehicles1.jpeg",
-)
-sahi.utils.file.download_from_url(
-    "https://raw.githubusercontent.com/ultralytics/yolov5/master/data/images/zidane.jpg",
-    "zidane.jpg",
-)
+# # Images
+# sahi.utils.file.download_from_url(
+#     "https://raw.githubusercontent.com/obss/sahi/main/tests/data/small-vehicles1.jpeg",
+#     "highway.jpg",
+# )
+# sahi.utils.file.download_from_url(
+#     "https://raw.githubusercontent.com/obss/sahi/main/tests/data/small-vehicles1.jpeg",
+#     "small-vehicles1.jpeg",
+# )
+# sahi.utils.file.download_from_url(
+#     "https://raw.githubusercontent.com/ultralytics/yolov5/master/data/images/zidane.jpg",
+#     "zidane.jpg",
+# )
 
 
 model_names = [
@@ -84,9 +84,9 @@ outputs = gr.Image(type="filepath", label="Output Image")
 title = "Ultralytics YOLOv8 Segmentation Demo"
 
 examples = [
-    ["zidane.jpg", "yolov8m-seg.pt", 640, 0.6, 0.45],
-    ["highway.jpg", "yolov8m-seg.pt", 640, 0.25, 0.45],
-    ["small-vehicles1.jpeg", "yolov8m-seg.pt", 640, 0.25, 0.45],
+    ["ikun.jpg", "yolov8m-seg.pt", 640, 0.6, 0.45],
+    ["ikun.jpg", "yolov8m-seg.pt", 640, 0.25, 0.45],
+   
 ]
 demo_app = gr.Interface(
     fn=yolov8_inference,