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Runtime error
Runtime error
remove librosa from pipeline.py
Browse files
__pycache__/pipeline.cpython-39.pyc
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__pycache__/rawnet.cpython-39.pyc
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Binary files a/__pycache__/rawnet.cpython-39.pyc and b/__pycache__/rawnet.cpython-39.pyc differ
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efficientnet-b0/keras_metadata.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:8411f85bd22de246fee31adc6bbf0a60d403ac22d8f572154fd77eb866b8daf3
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size 202114
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efficientnet-b0/saved_model.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca17aff86eeedbeab2ace0fc42296a1fe11352c6adb418f04f96c5a3607bd28a
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size 10505251
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efficientnet-b0/variables/variables.data-00000-of-00001
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version https://git-lfs.github.com/spec/v1
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oid sha256:6418ccca9c8b62339ccfae9e5e3aae785fbdeed31fa08af7207ad4f0fc94fbbf
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size 23824720
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efficientnet-b0/variables/variables.index
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8941b2f42aede433bd46ec35e5f9ec0fe489f57e44960db8f0cc40967bcf5e9
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size 21161
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pipeline.py
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@@ -212,7 +212,7 @@ audio_label_map = {
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def deepfakes_audio_predict(input_audio):
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#Perform inference on audio.
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-
x, sr =
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x_pt = torch.Tensor(x)
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x_pt = torch.unsqueeze(x_pt, dim = 0)
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def deepfakes_audio_predict(input_audio):
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#Perform inference on audio.
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x, sr = input_audio
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x_pt = torch.Tensor(x)
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x_pt = torch.unsqueeze(x_pt, dim = 0)
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