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import uuid
import ffmpeg
import gradio as gr
from pathlib import Path
from denoisers.SpectralGating import SpectralGating
def denoising_transform(audio):
src_path = "cache_wav/original/{}.wav".format(str(uuid.uuid4()))
tgt_path = "cache_wav/denoised/{}.wav".format(str(uuid.uuid4()))
(ffmpeg.input(audio)
.output(src_path, acodec='pcm_s16le', ac=1, ar=22050)
.run()
)
model.predict(audio, tgt_path)
return tgt_path
demo = gr.Interface(
fn=denoising_transform,
inputs=gr.Audio(label="Source Audio", source="microphone", type='filepath'),
outputs=gr.Audio(label="Target Audio", type='filepath'),
examples=[
["testing/wavs/p232_071.wav"],
["testing/wavs/p232_284.wav"],
],
title="Denoising",
interpretation="default",
)
if __name__ == "__main__":
model = SpectralGating()
demo.launch()
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