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