gradio/demo/spectogram.py

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# Demo: (Audio) -> (Image)
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import gradio as gr
import matplotlib.pyplot as plt
import numpy as np
from scipy import signal
from scipy.io import wavfile
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def spectrogram(audio):
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sr, data = audio
data = np.delete(data, 1, 1).reshape(-1)
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frequencies, times, spectrogram_data = signal.spectrogram(data.reshape(-1), sr, window="hamming")
plt.pcolormesh(times, frequencies, np.log10(spectrogram_data))
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return plt
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gr.Interface(spectrogram, "audio", "plot").launch()