Update app.py

app.py

@@ -2,14 +2,17 @@ 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
+minds = load_dataset("PolyAI/minds14", name="en-AU", split="train")
+id2label = minds.features["intent_class"].int2str
 
 
 def generate_audio():
-    example = speech_commands.shuffle()[0]
+    example = minds.shuffle()[0]
     audio = example["audio"]
-    return (audio["sampling_rate"], (audio["array"] * 32_767).astype(np.int16)), id2label(example["label"])
+    return (
+        audio["sampling_rate"],
+        audio["array"],
+    ), id2label(example["intent_class"])
 
 
 with gr.Blocks() as demo: