Update app.py

app.py

@@ -1,9 +1,7 @@
 import gradio as gr
 import torch
 from PIL import Image
-# Images
-torch.hub.download_url_to_file('https://cdn.pixabay.com/photo/2016/06/15/01/11/soccer-1457988_1280.jpg', 'soccer.jpg')
-torch.hub.download_url_to_file('https://cdn.pixabay.com/photo/2016/11/21/14/31/vw-bus-1845719_1280.jpg', 'bus.jpg')
+
 # Model
 model = torch.hub.load('ultralytics/yolov5', 'custom', 'customModel/model.pt')
 def yolo(im, size=640):
@@ -16,6 +14,6 @@ inputs = gr.inputs.Image(type='pil', label="Original Image")
 outputs = gr.outputs.Image(type="pil", label="Output Image")
 title = "Custom YOLOv5"
 description = "Custom YOLOv5 Gradio demo for object detection. Upload an image or click an example image to use."
-examples = [['soccer.jpg'], ['bus.jpg']]
+examples = [['c.jpg'], ['t.jpg']]
 gr.Interface(yolo, inputs, outputs, title=title, description=description, examples=examples, theme="huggingface").launch(
     debug=True)