Create app.py

app.py

@@ -0,0 +1,24 @@
+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()