app.py

from transformers import pipeline
import gradio as gr
model_id = 'hp1318/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan'
pipe = pipeline('audio-classification', model=model_id)
def classify_audio(filepath):
    preds = pipe(filepath)
    outputs = {p["label"]: p["score"] for p in preds}
    return outputs
demo = gr.Interface(fn=classify_audio, inputs=gr.Audio(type="filepath"), outputs=gr.Label())
demo.launch()