app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline('audio-classification',model = "yojul/wav2vec2-base-one-shot-hip-hop-drums-clf")

def inference(file_path):
    results = pipe(file_path)
    return {x['label'] : x['score'] for x in results}

upl_audio = gr.Audio(sources="upload", type="filepath")
label = gr.Label(num_top_classes=5)
demo = gr.Interface(fn=inference, inputs=[upl_audio], outputs=[label])
demo.launch()