Update app.py

app.py

@@ -6,10 +6,19 @@ import sahi
 
 
 # Images
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64be73e7b9296eef62f1b73c/QiBAeHLkcoi-x-Vwr-SUp.png)
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64be73e7b9296eef62f1b73c/Yp_L7BvD9L7WRJowqgOlo.jpeg)
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64be73e7b9296eef62f1b73c/KpdP_-YTLtzS-r5cLst2Y.png)
+# Images
+sahi.utils.file.download_from_url(
+    "https://huggingface.co/spaces/mennamostafa55555/ms/blob/main/download_13.png",
+    "tu1.jpg",
+)
+sahi.utils.file.download_from_url(
+    "https://huggingface.co/spaces/mennamostafa55555/ms/blob/main/download_14.png",
+    "tu2.jpg",
+)
+sahi.utils.file.download_from_url(
+    "https://huggingface.co/spaces/mennamostafa55555/ms/blob/main/e7d86208-a7e1-4d2a-963c-af6102430b0c%20(1).jpg",
+    "tu3.jpg",
+)
 
 annotatorbbox = sv.BoxAnnotator()
 annotatormask=sv.MaskAnnotator()
@@ -51,9 +60,9 @@ outputs = gr.Image(type="filepath", label="Output Image")
 title = "Ultralytics YOLOv8 Segmentation Demo"
 import os
 examples = [
-    ["image.jpeg", 0.6, 0.45],
-    ["image.png", 0.25, 0.45],
-    ["image.png", 0.25, 0.45],
+    ["tu1.png", 0.6, 0.45],
+    ["tu2.png", 0.25, 0.45],
+    ["tu3.jpg", 0.25, 0.45],
 ]
 demo_app = gr.Interface(examples=examples,
     fn=yolov8_inference,