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first_push
Browse files- .gitattributes +1 -0
- app.py +54 -0
- requirements.txt +3 -0
- sample/noise1.wav +3 -0
- sample/noise2.wav +3 -0
- sample/noise3.wav +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.wav filter=lfs diff=lfs merge=lfs -text
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app.py
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from audio_denoiser.AudioDenoiser import AudioDenoiser
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from timeit import default_timer as timer
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import gradio as gr
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from torchaudio import AudioMetaData
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import torch
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import tempfile
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import os
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theme='remilia/Ghostly'
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device = torch.device('cuda:0') if torch.cuda.is_available() else torch.device('cpu')
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def denoiser(win, auto_scale):
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if win is None:
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gr.Warning('Audio does not exist. Please ensure that the audio has been successfully uploaded.')
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return None,None
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startTime=timer()
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denoiser = AudioDenoiser(device=device)
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temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.wav')
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wout = temp_file.name
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temp_file.close()
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denoiser.process_audio_file(win, wout, auto_scale)
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endTime=timer()
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info=(f'🆗Completion time: {round(endTime-startTime,4)}s')
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return wout,info
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with gr.Blocks(theme=theme) as app:
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gr.HTML('''
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<h1 style="font-size: 25px;">Audio Dnoiser</h1>
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<p style="margin-bottom: 10px; font-size: 100%">
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Originating from the project: <a href='https://github.com/jose-solorzano/audio-denoiser'>audio-denoiser</a><br>
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model: <a href='https://huggingface.co/jose-h-solorzano/audio-denoiser-512-32-v1'>jose-h-solorzano/audio-denoiser-512-32-v1</a><br>
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</p>''')
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audio_in = gr.Audio(type="filepath", label="Upload Audio")
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btn=gr.Button(value='💥Remove Noise')
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scale = gr.Checkbox(
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label="Auto Scale",
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info='Recommended for low-volume input audio',
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value=True,
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)
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audio_out = gr.Audio(type="filepath", label="Denoised Audio")
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info=gr.Textbox(label='info')
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btn.click(
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denoiser,
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inputs=[audio_in, scale],
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outputs=[audio_out,info])
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app.launch(share=True)
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requirements.txt
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audio-denoiser
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soundfile
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torchaudio
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sample/noise1.wav
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version https://git-lfs.github.com/spec/v1
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oid sha256:ad861d15fffc0a933a839cc4730b5e42d56a86084f686f130451c7134c8ed26f
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size 438100
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sample/noise2.wav
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version https://git-lfs.github.com/spec/v1
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oid sha256:c8e4445aed300ec8954d00aed652fdc1043b6dcdbf9d896414125fa4b513a5b9
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size 441044
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sample/noise3.wav
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version https://git-lfs.github.com/spec/v1
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oid sha256:b5664d57114d9d81d561919493b91fca1a994679fdbaec24ece60eb2fd406afa
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size 790316
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