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| import os | |
| import gradio as gr | |
| from scipy.io.wavfile import write | |
| def separate_audio(audio): | |
| os.makedirs("out", exist_ok=True) | |
| write('test.wav', audio[0], audio[1]) | |
| os.system("python3 -m demucs.separate -n htdemucs --two-stems=vocals -d cpu test.wav -o out") | |
| vocals_file = "./out/htdemucs/test/vocals.wav" | |
| instrumental_file = "./out/htdemucs/test/no_vocals.wav" | |
| return vocals_file, instrumental_file | |
| def batch_separate_audio(audio_list): | |
| os.makedirs("out", exist_ok=True) | |
| vocals_files = [] | |
| instrumental_files = [] | |
| for idx, audio in enumerate(audio_list): | |
| write(f'test{idx}.wav', audio[0], audio[1]) | |
| os.system(f"python3 -m demucs.separate -n htdemucs --two-stems=vocals -d cpu test{idx}.wav -o out") | |
| vocals_file = f"./out/htdemucs/test{idx}/vocals.wav" | |
| instrumental_file = f"./out/htdemucs/test{idx}/no_vocals.wav" | |
| vocals_files.append(vocals_file) | |
| instrumental_files.append(instrumental_file) | |
| return vocals_files, instrumental_files | |
| def download_file(filepath): | |
| with open(filepath, "rb") as f: | |
| file_bytes = f.read() | |
| return file_bytes | |
| title = "Demucs Music Source Separation (v4)" | |
| description = "This is the latest 'bleeding edge version' which enables the new v4 Hybrid Transformer model. <br> for this space, 2 stem separation (Karaoke Mode) is enabled and CPU mode which has been optimized for best quality & processing time. <p>| Gradio demo for Demucs(v4): Music Source Separation in the Waveform Domain. To use it, simply upload your audio, or click one of the examples to load them. Read more at the links below.</p>" | |
| article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1911.13254' target='_blank'>Music Source Separation in the Waveform Domain</a> | <a href='https://github.com/facebookresearch/demucs' target='_blank'>Github Repo</a> | <a href='https://www.thafx.com' target='_blank'>//THAFX</a></p>" | |
| audio_input = gr.inputs.Audio(label="Input") | |
| vocals_output = gr.outputs.Audio(label="Vocals", type="filepath", download=True) | |
| instrumental_output = gr.outputs.Audio(label="No Vocals / Instrumental", type="filepath", download=True) | |
| examples = [['test.mp3']] | |
| # Create the Gradio interface | |
| gr.Interface( | |
| fn=separate_audio, | |
| inputs=audio_input, | |
| outputs=[vocals_output, instrumental_output], | |
| title=title, | |
| description=description, | |
| article=article, | |
| examples=examples | |
| ).launch(enable_queue=True, share=True) | |
| batch_audio_input = gr.inputs.Audio(label="Input", type="numpy", multiple=True) | |
| batch_vocals_output = gr.outputs.Audio(label="Vocals", type="filepath", download=True, multiple=True) | |
| batch_instrumental_output = gr.outputs.Audio(label="No Vocals / Instrumental", type="filepath", download=True, multiple=True) | |
| batch_examples = [[audio] for audio in examples[0]] | |
| # Create the Gradio interface for batch conversion | |
| gr.Interface( | |
| fn=batch_separate_audio, | |
| inputs=batch_audio_input, | |
| outputs=[batch_vocals_output, batch_instrumental_output], | |
| title="Demucs Batch Music Source Separation (v4)", | |
| description=description, | |
| article=article, | |
| examples=batch_examples | |
| ).launch(enable_queue=True, share=True) | |