2020-08-22 05:20:05 +08:00
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# Demo: (Audio) -> (Image)
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2020-08-20 19:57:07 +08:00
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import gradio as gr
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import matplotlib.pyplot as plt
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import numpy as np
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from scipy import signal
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2020-08-22 05:20:05 +08:00
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def spectrogram(audio):
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2020-08-20 19:57:07 +08:00
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sr, data = audio
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2020-09-23 05:18:40 +08:00
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if len(data.shape) == 2:
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data = np.mean(data, axis=0)
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frequencies, times, spectrogram_data = signal.spectrogram(data, sr, window="hamming")
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2020-08-22 05:20:05 +08:00
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plt.pcolormesh(times, frequencies, np.log10(spectrogram_data))
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2020-08-20 19:57:07 +08:00
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return plt
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2020-11-11 22:15:53 +08:00
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iface = gr.Interface(spectrogram, "audio", "plot")
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2020-08-28 23:56:03 +08:00
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2020-11-11 22:15:53 +08:00
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iface.test_launch()
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if __name__ == "__main__":
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iface.launch()
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