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Update app.py
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app.py
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@@ -42,7 +42,7 @@ def inference(input_image):
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with torch.no_grad():
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output = model(input_batch)
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# The output has unnormalized scores. To get probabilities, you can run a softmax on it.
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probabilities = torch.nn.functional.softmax(output[0], dim=
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# Read the categories
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with open("artist_classes.txt", "r") as f:
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with torch.no_grad():
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output = model(input_batch)
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# The output has unnormalized scores. To get probabilities, you can run a softmax on it.
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probabilities = torch.nn.functional.softmax(output[0], dim=1)
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# Read the categories
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with open("artist_classes.txt", "r") as f:
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