Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+import numpy as np
+from datasets import load_dataset
+
+speech_commands = load_dataset("speech_commands", "v0.02", split="test")
+id2label = speech_commands.features["label"].int2str
+
+
+def generate_audio():
+    example = speech_commands.shuffle()[0]
+    audio = example["audio"]
+    return (audio["sampling_rate"], (audio["array"] * 32_767).astype(np.int16)), id2label(example["label"])
+
+
+with gr.Blocks() as demo:
+    with gr.Column():
+        for _ in range(4):
+            audio, label = generate_audio()
+            output = gr.Audio(audio, label=label)
+
+demo.launch()