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 MAGNeT
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from audiocraft. data. audio import audio_write
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model = MAGNeT.get_pretrained('facebook/magnet-small-10secs')
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def infer(description):
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descriptions = ['disco beat', 'energetic EDM']
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wav = model.generate(descriptions)
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for idx, one_wav in enumerate(wav):
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print(idx)
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audio_write(f'{idx}',
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one_wav.cpu(),
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model.sample_rate,
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strategy="loudness",
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loudness_compressor=True)
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return "done"
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gr.Interface(
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fn = infer,
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inputs = gr.Textbox(value="gogo"),
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outputs = gr.Textbox()
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).launch()
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