app.py

import gradio as gr
from transformers import pipeline

model_id = "lewtun/distilhubert-finetuned-gtzan"
pipe = pipeline("audio-classification", model=model_id)


def classify_audio(filepath):
    preds = pipe(filepath)
    outputs = {}
    for p in preds:
        outputs[p["label"]] = p["score"]
    return outputs


label = gr.outputs.Label()

demo = gr.Interface(fn=classify_audio, inputs=gr.Audio(type="filepath"), outputs=label, examples=[["song1.ogg"], ["song2.ogg"], ["song3.ogg"], ["song4.ogg"]],)
demo.launch()