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kenshin20080
commited on
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•
b3a87ea
1
Parent(s):
f00ac14
Update app.py
Browse files
app.py
CHANGED
@@ -43,7 +43,7 @@ def create_vc_fn(model, sid):
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out_wav_path = "temp.wav"
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soundfile.write(out_wav_path, audio, 16000, format="wav")
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out_audio, out_sr = model.infer(sid, vc_transform, out_wav_path,
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auto_predict_f0=auto_f0, F0_mean_pooling=True
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)
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return "Success", (44100, out_audio.cpu().numpy())
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return vc_fn
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@@ -82,14 +82,14 @@ if __name__ == '__main__':
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)
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with gr.Row():
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with gr.Column():
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vc_input = gr.Audio(label="Input audio"+' (less than
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vc_transform = gr.Number(label="vc_transform", value=0)
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auto_f0 = gr.Checkbox(label="auto_f0", value=False)
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vc_submit = gr.Button("Generate", variant="primary")
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with gr.Column():
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vc_output1 = gr.Textbox(label="Output Message")
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vc_output2 = gr.Audio(label="Output Audio")
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vc_submit.click(vc_fn, [vc_input, vc_transform, auto_f0], [vc_output1, vc_output2])
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if args.colab:
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webbrowser.open("http://127.0.0.1:7860")
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app.queue(concurrency_count=1, api_open=args.api).launch(share=args.share)
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out_wav_path = "temp.wav"
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soundfile.write(out_wav_path, audio, 16000, format="wav")
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out_audio, out_sr = model.infer(sid, vc_transform, out_wav_path,
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+
auto_predict_f0=auto_f0, F0_mean_pooling=True,
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)
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return "Success", (44100, out_audio.cpu().numpy())
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return vc_fn
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)
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with gr.Row():
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with gr.Column():
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+
vc_input = gr.Audio(label="Input audio"+' (less than 120 seconds)' if limitation else '')
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vc_transform = gr.Number(label="vc_transform", value=0)
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auto_f0 = gr.Checkbox(label="auto_f0", value=False)
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vc_submit = gr.Button("Generate", variant="primary")
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with gr.Column():
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vc_output1 = gr.Textbox(label="Output Message")
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vc_output2 = gr.Audio(label="Output Audio")
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vc_submit.click(vc_fn, [vc_input, vc_transform, auto_f0, True], [vc_output1, vc_output2])
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if args.colab:
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webbrowser.open("http://127.0.0.1:7860")
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app.queue(concurrency_count=1, api_open=args.api).launch(share=args.share)
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