Update app.py

app.py

@@ -56,7 +56,7 @@ def image_classifier(input_image, top_classes=3, show_cam=True, target_layers=[2
     confidences = {classes[i]: float(o[i]) for i in range(10)}
     _, label = torch.max(output, 1)
     
-    confidences.sort(key=lambda x: x[1], reverse=True)
+    #confidences.sort(key=lambda x: x[1], reverse=True)
     confidences = OrderedDict(confidences[:top_classes])
     #label = torch.argmax(output).item()