import os import gradio as gr from scipy.io.wavfile import write import subprocess def inference(audio): os.makedirs("out", exist_ok=True) write('test.wav', audio[0], audio[1]) command = "python3 -m demucs.separate -n mdx_extra_q -d cpu test.wav -o out" process = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) print("Demucs script output:", process.stdout.decode()) os.makedirs("out", exist_ok=True) write('test.wav', audio[0], audio[1]) result = os.system("python3 -m demucs.separate -n mdx_extra_q -d cpu test.wav -o out") print(f"Demucs script result: {result}") # Check if files exist before returning files = ["./out/mdx_extra_q/test/vocals.wav", "./out/mdx_extra_q/test/bass.wav", "./out/mdx_extra_q/test/drums.wav", "./out/mdx_extra_q/test/other.wav"] for file in files: if not os.path.isfile(file): print(f"File not found: {file}") else: print(f"File exists: {file}") return files title = "Demucs" description = "Forked from here https://huggingface.co/spaces/akhaliq/demucs/ and changed to updated demucs pip source. Gradio demo for Demucs: 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." article = "
Music Source Separation in the Waveform Domain | Github Repo
" examples=[['test.mp3']] gr.Interface( inference, gr.components.Audio(type="numpy", label="Input"), [gr.components.Audio(type="filepath", label="Vocals"), gr.components.Audio(type="filepath", label="Bass"), gr.components.Audio(type="filepath", label="Drums"), gr.components.Audio(type="filepath", label="Other")], title=title, description=description, article=article ).launch(enable_queue=True)