from transformers import pipeline
import gradio as gr
import os

model_id = "burraco135/ast-finetuned-audioset-10-10-0.4593-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

demo = gr.Interface(
    fn=classify_audio,
    inputs=gr.Audio(type="filepath"),
    outputs=gr.outputs.Label(),
    examples=[
        ["around_the_world-atc.wav"],
        ["mambo_no_5-lou_bega.wav"],
    ],
)
demo.launch(debug=True)