gradio/demo/spectogram.py
2020-11-11 06:15:53 -08:00

23 lines
529 B
Python

# Demo: (Audio) -> (Image)
import gradio as gr
import matplotlib.pyplot as plt
import numpy as np
from scipy import signal
def spectrogram(audio):
sr, data = audio
if len(data.shape) == 2:
data = np.mean(data, axis=0)
frequencies, times, spectrogram_data = signal.spectrogram(data, sr, window="hamming")
plt.pcolormesh(times, frequencies, np.log10(spectrogram_data))
return plt
iface = gr.Interface(spectrogram, "audio", "plot")
iface.test_launch()
if __name__ == "__main__":
iface.launch()