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d2d09cc
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f9dcb56
Create app.py
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app.py
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import gradio as gr
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import torchaudio
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from audiocraft.models import MusicGen
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from audiocraft.data.audio import audio_write
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def generate_music(description, melody_audio):
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model = MusicGen.get_pretrained('nateraw/musicgen-songstarter-v0.2')
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model.set_generation_params(duration=8) # generate 8 seconds.
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if description:
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descriptions = [description] * 3
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if melody_audio:
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melody, sr = torchaudio.load(melody_audio)
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wav = model.generate_with_chroma(descriptions, melody[None].expand(3, -1, -1), sr)
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else:
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wav = model.generate(descriptions) # generates 3 samples.
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else:
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wav = model.generate_unconditional(4) # generates 4 unconditional audio samples
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output_audios = []
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for idx, one_wav in enumerate(wav):
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output_path = f'output_{idx}.wav'
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audio_write(output_path, one_wav.cpu(), model.sample_rate, strategy="loudness", loudness_compression=-14)
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output_audios.append(output_path)
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return output_audios
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description = gr.Textbox(label="Description", placeholder="acoustic, guitar, melody, trap, d minor, 90 bpm")
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melody_audio = gr.Audio(label="Melody Audio (optional)", type="filepath")
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output_audio = gr.Audio(label="Generated Music", type="filepath")
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gr.Interface(
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fn=generate_music,
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inputs=[description, melody_audio],
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outputs=output_audio,
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title="MusicGen Demo",
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description="Generate music using the MusicGen model.",
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examples=[
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["acoustic, guitar, melody, trap, d minor, 90 bpm", "./assets/bach.mp3"],
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["upbeat, electronic, synth, dance, 120 bpm", None]
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]
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).launch()
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