import gradio as gr
from diffusers import DiffusionPipeline
import scipy

model_id = "harmonai/maestro-150k"
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline = pipeline.to("cuda")

def denoise(text):
    audios = pipeline(audio_length_in_s=1.0).audios
    return audios

gr.Interface(fn=denoise, inputs="text", outputs="audio").launch()