import gradio as gr import numpy as np from datasets import load_dataset gtzan = load_dataset("marsyas/gtzan", split="train") id2label = gtzan.features["genre"].int2str def generate_audio(): example = gtzan.shuffle()[0] audio = example["audio"] return ( audio["sampling_rate"], audio["array"], ), id2label(example["genre"]) with gr.Blocks() as demo: with gr.Column(): for _ in range(4): audio, label = generate_audio() output = gr.Audio(audio, label=label) demo.launch()