Update app.py

app.py

@@ -210,12 +210,12 @@ def infer():
     transform = T.ToPILImage()
     
     # convert the tensor to PIL image using above transform
-    img = transform(frame[100])
+    img = transform(frames[100])
     
     # display the PIL image
     #img.show()
     img.save('frame_input.jpg')
-    res = get_warp_res(frame[100], predicted_flow, fname_output='warped.png')
+    res = get_warp_res(frames[100], predicted_flow, fname_output='warped.png')
     #print(res)
     return "done", "predicted_flow.jpg", ["flofile.flo"], 'frame_input.jpg'
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