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Running
on
Zero
Update app.py
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app.py
CHANGED
@@ -97,8 +97,8 @@ se_demo = gr.Interface(
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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
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description = ("ClearVoice ([Github Repo](https://github.com/modelscope/ClearerVoice-Studio
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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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@@ -118,8 +118,8 @@ ss_demo = gr.Interface(
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gr.Audio(label="Output Audio", type="filepath"),
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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
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description = ("ClearVoice ([Github Repo](https://github.com/modelscope/ClearerVoice-Studio
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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/2302.11824' target='_blank'>MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions</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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@@ -138,8 +138,8 @@ tse_demo = gr.Interface(
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outputs = [
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gr.Gallery(label="Output Video List")
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],
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title = "<a href='https://github.com/modelscope/ClearerVoice-Studio
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description = ("ClearVoice ([Github Repo](https://github.com/modelscope/ClearerVoice-Studio
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"To try it, simply upload your video, or click one of the examples. "),
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# article = ("<p style='text-align: center'><a href='https://arxiv.org/abs/2302.11824' target='_blank'>MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions</a> | <a href='https://github.com/alibabasglab/MossFormer' target='_blank'>Github Repo</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> | <a href='https://github.com/alibabasglab/MossFormer2' target='_blank'>Github Repo</a></p>"),
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@@ -159,8 +159,8 @@ sr_demo = gr.Interface(
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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
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-
description = ("ClearVoice ([Github Repo](https://github.com/modelscope/ClearerVoice-Studio
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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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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' target='_blank'>ClearVoice<a/>: Speech Enhancement",
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description = ("ClearVoice ([Github Repo](https://github.com/modelscope/ClearerVoice-Studio)) is AI-powered and extracts clear speech from background noise for enhanced speech quality. It supports both 16 kHz and 48 kHz audio outputs. "
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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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gr.Audio(label="Output Audio", type="filepath"),
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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' target='_blank'>ClearVoice<a/>: Speech Separation",
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description = ("ClearVoice ([Github Repo](https://github.com/modelscope/ClearerVoice-Studio)) is powered by AI and separates individual speech from mixed audio. It supports 16 kHz and two output streams. "
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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/2302.11824' target='_blank'>MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions</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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outputs = [
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gr.Gallery(label="Output Video List")
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],
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title = "<a href='https://github.com/modelscope/ClearerVoice-Studio' target='_blank'>ClearVoice<a/>: Audio-Visual Speaker Extraction",
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description = ("ClearVoice ([Github Repo](https://github.com/modelscope/ClearerVoice-Studio)) is AI-powered and extracts each speaker's voice from a multi-speaker video using facial recognition. "
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"To try it, simply upload your video, or click one of the examples. "),
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# article = ("<p style='text-align: center'><a href='https://arxiv.org/abs/2302.11824' target='_blank'>MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions</a> | <a href='https://github.com/alibabasglab/MossFormer' target='_blank'>Github Repo</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> | <a href='https://github.com/alibabasglab/MossFormer2' target='_blank'>Github Repo</a></p>"),
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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' target='_blank'>ClearVoice<a/>: Speech Super Resolution",
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description = ("ClearVoice ([Github Repo](https://github.com/modelscope/ClearerVoice-Studio)) 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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