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Update App.py

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App.py CHANGED
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- Compare your experiments with Aim on Spaces
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- Let's use a quick example of a PyTorch CNN trained on MNIST to demonstrate end-to-end Aim on Spaces deployment. The full example is in the Aim repo examples folder.
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-
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  from aim import Run
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  from aim.pytorch import track_gradients_dists, track_params_dists
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+ # ops
 
 
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  from aim import Run
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  from aim.pytorch import track_gradients_dists, track_params_dists
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