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Update app.py
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app.py
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@@ -5,6 +5,23 @@ import spaces
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from clearvoice import ClearVoice
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import os
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@spaces.GPU
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def fn_clearvoice_se(input_wav, sr):
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if sr == "16000 Hz":
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@@ -65,19 +82,17 @@ def fn_clearvoice_tse(input_video):
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demo = gr.Blocks()
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fn=
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inputs = [
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gr.Audio(label="Input Audio", type="filepath"),
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gr.
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["16000 Hz", "48000 Hz"], value="16000 Hz", multiselect=False, info="Choose a sampling rate for your output."
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),
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],
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outputs = [
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gr.Audio(label="Output Audio", type="filepath"),
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],
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title = "<a href='https://github.com/modelscope/ClearerVoice-Studio/tree/main/clearvoice' target='_blank'>ClearVoice<a/>: Speech Enhancement",
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description = ("
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"To try it, simply upload your audio, or click one of the examples. "),
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article = ("<p style='text-align: center'><a href='https://arxiv.org/abs/2206.07293' target='_blank'>FRCRN: Boosting Feature Representation Using Frequency Recurrence for Monaural Speech Enhancement</a> </p>"
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"<p style='text-align: center'><a href='https://arxiv.org/abs/2312.11825' target='_blank'>MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation</a> </p>"),
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@@ -130,6 +145,6 @@ tse_demo = gr.Interface(
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)
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with demo:
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gr.TabbedInterface([se_demo
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demo.launch()
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from clearvoice import ClearVoice
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import os
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@spaces.GPU
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def fn_clearvoice_sr(input_wav, sr):
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if sr == "16000 Hz":
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myClearVoice = ClearVoice(task='speech_enhancement', model_names=['FRCRN_SE_16K'])
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fs = 16000
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else:
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myClearVoice = ClearVoice(task='speech_enhancement', model_names=['MossFormer2_SE_48K'])
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fs = 48000
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output_wav_dict = myClearVoice(input_path=input_wav, online_write=False)
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if isinstance(output_wav_dict, dict):
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key = next(iter(output_wav_dict))
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output_wav = output_wav_dict[key]
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else:
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output_wav = output_wav_dict
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sf.write('enhanced.wav', output_wav, fs)
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return 'enhanced.wav'
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@spaces.GPU
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def fn_clearvoice_se(input_wav, sr):
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if sr == "16000 Hz":
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demo = gr.Blocks()
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sr_demo = gr.Interface(
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fn=fn_clearvoice_sr,
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inputs = [
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gr.Audio(label="Input Audio", type="filepath"),
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gr.Checkbox(["Apply Enhancement"], label="Apply_SE"),
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],
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outputs = [
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gr.Audio(label="Output Audio", type="filepath"),
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],
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title = "<a href='https://github.com/modelscope/ClearerVoice-Studio/tree/main/clearvoice' target='_blank'>ClearVoice<a/>: Speech Enhancement",
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description = ("ClearVoice ([Github Repo](https://github.com/modelscope/ClearerVoice-Studio/tree/main/clearvoice)) is AI-powered and transform low-resolution audio (effective sampling rate ≥ 16 kHz) into crystal-clear, high-resolution audio at 48 kHz. It supports most of audio types. "
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"To try it, simply upload your audio, or click one of the examples. "),
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article = ("<p style='text-align: center'><a href='https://arxiv.org/abs/2206.07293' target='_blank'>FRCRN: Boosting Feature Representation Using Frequency Recurrence for Monaural Speech Enhancement</a> </p>"
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"<p style='text-align: center'><a href='https://arxiv.org/abs/2312.11825' target='_blank'>MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation</a> </p>"),
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)
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with demo:
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gr.TabbedInterface([se_demo], ["Task 4: Speech Super Resolution"])
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demo.launch()
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