image uri added for sample image to download

app.py

@@ -1,10 +1,7 @@
 import gradio as gr
 from classify_utils import classify_tab
 from detect_utils import detect_tab
-import os
 
-os.system("wget https://media.roboflow.com/notebooks/examples/dog.jpeg")
-os.system("wget https://media.roboflow.com/notebooks/examples/dog-2.jpeg")
 
 if __name__ == '__main__':
     gr.TabbedInterface(

classify_utils.py

@@ -3,6 +3,10 @@ import os
 from ultralytics import YOLO
 import requests
 import supervision as sv
+import os
+
+os.system("wget https://datasets-server.huggingface.co/cached-assets/imagenet-1k/--/default/test/27/image/image1.jpg")
+os.system("wget https://datasets-server.huggingface.co/cached-assets/imagenet-1k/--/default/test/22/image/image2.jpg")
 
 response = requests.get("https://git.io/JJkYN")
 labels = response.text.split("\n")
@@ -37,6 +41,6 @@ classify_tab = gr.Interface(
     inputs=inputs_thresh,
     outputs=gr.outputs.Label(num_top_classes=4),
     title="supervision",
-    examples=[["dog.jpeg", "yolov8s-cls"], ["dog-2.jpeg", "yolov8n-cls"]],
+    examples=[["image1.jpg", "yolov8s-cls"], ["image2.jpg", "yolov8n-cls"]],
     description="Gradio based demo for <a href='https://github.com/roboflow/supervision' style='text-decoration: underline' target='_blank'>roboflow/supervision</a>, We write your reusable computer vision tools."
 )

detect_utils.py

@@ -1,6 +1,10 @@
 import gradio as gr
 from ultralytics import YOLO
 import supervision as sv
+import os
+
+os.system("wget https://media.roboflow.com/notebooks/examples/dog.jpeg")
+os.system("wget https://media.roboflow.com/notebooks/examples/dog-2.jpeg")
 
 
 def detect(image, weights, slider_val):