import gradio as gr import os import tempfile import subprocess def separate_audio(audio_path, stem_count): head, tail = os.path.split(audio_path) gradio_temp_path = head audio_filename = tail.split('.')[0] command = f"spleeter separate -p spleeter:{stem_count}stems {audio_path}" command = command.split() result = subprocess.run(command) outputs = [] if stem_count == 2: accompaniment_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/accompaniment.wav" vocals_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/vocals.wav" outputs.append({'description': 'Accompaniment', 'path': accompaniment_path}) outputs.append({'description': 'Vocals', 'path': vocals_path}) elif stem_count == 4: vocals_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/vocals.wav" drums_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/drums.wav" bass_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/bass.wav" other_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/other.wav" outputs.extend([ {'description': 'Vocals', 'path': vocals_path}, {'description': 'Drums', 'path': drums_path}, {'description': 'Bass', 'path': bass_path}, {'description': 'Other', 'path': other_path}, ]) elif stem_count == 5: piano_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/piano.wav" vocals_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/vocals.wav" drums_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/drums.wav" bass_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/bass.wav" other_path = f"{gradio_temp_path}/separated_audio/{audio_filename}/other.wav" outputs.extend([ {'description': 'Vocals', 'path': vocals_path}, {'description': 'Piano', 'path': piano_path}, {'description': 'Drums', 'path': drums_path}, {'description': 'Bass', 'path': bass_path}, {'description': 'Other', 'path': other_path}, ]) return outputs def separate_audio_gradio(audio_file, stem_count): with tempfile.NamedTemporaryFile(delete=False) as temp_file: temp_file.write(audio_file.read()) temp_file_path = temp_file.name separate_audios = separate_audio(temp_file_path, stem_count) outputs = [] for audio in separate_audios: outputs.append((audio['description'], gr.outputs.Audio(audio['path']))) return outputs input_audio = gr.inputs.File(label="Upload Audio File", type=["wav", "mp3"]) input_stem_count = gr.inputs.Radio([2, 4, 5], label="Stem count") gr.Interface( fn=separate_audio_gradio, inputs=[input_audio, input_stem_count], outputs="label", title="Audio Separator", description="Separate audio into vocals and accompaniment using Spleeter", capture_session=True ).launch()