Update app.py
Browse files
app.py
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@@ -2,12 +2,13 @@ import gradio as gr
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from speechbrain.pretrained import SepformerSeparation as separator
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import torchaudio
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def predict_song(audio_path):
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est_sources = model.separate_file(path=audio_path)
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torchaudio.save("enhanced_wham.wav", est_sources[:, :, 0].detach().cpu(), 8000)
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return "enhanced_wham.wav"
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import gradio as gr
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# Create title, description and article strings
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title = "Denoise Audio Using Sepformer"
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from speechbrain.pretrained import SepformerSeparation as separator
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import torchaudio
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model = separator.from_hparams(source="speechbrain/sepformer-wham-enhancement", savedir='pretrained_models/sepformer-wham-enhancement')
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def predict_song(audio_path):
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est_sources = model.separate_file(path=audio_path)
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torchaudio.save("enhanced_wham.wav", est_sources[:, :, 0].detach().cpu(), 8000)
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return "enhanced_wham.wav"
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# Create title, description and article strings
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title = "Denoise Audio Using Sepformer"
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