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| 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() |