Update app.py

app.py

@@ -15,7 +15,7 @@ inference = torch.load('fine_tune_resnet.pth', map_location=torch.device('cpu'))
 inference.eval()
 
 
-example = [Path.cwd() / 'cardboard.wp', Path.cwd() / 'plastic.jpg']
+example = [str(i) for i in Path('examples').glob('*')]
 
 def classifier(image):
     test_transform = Compose([