app.py

import gradio as gr
from transformers import pipeline

synthesiser = pipeline("text-to-audio", model="facebook/musicgen-small")
def text_to_audio(prompt):
    music = synthesiser(prompt, forward_params={"do_sample": True})
    output_audio = music['audio']
    sampling_rate = music['sampling_rate']
    return sampling_rate, output_audio
demo = gr.Interface(
    fn=text_to_audio,
    inputs=gr.Textbox(label="Music Prompt", placeholder="Enter text for audio gen. Ex: A calm piano melody."),
    outputs=gr.Audio(label="Generated Audio"),
    title="MusicGen Audio Test",
    description="Generate audio based on text prompts using a pretrained model",
)
demo.launch()