mirror of
https://github.com/gradio-app/gradio.git
synced 2024-12-21 02:19:59 +08:00
b4d9825409
Ported gradio website into gradio repository, now launched as a docker service from gradio/website
50 lines
1.2 KiB
Python
50 lines
1.2 KiB
Python
import gradio as gr
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import numpy as np
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from scipy.fftpack import fft
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import matplotlib.pyplot as plt
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from math import log2, pow
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A4 = 440
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C0 = A4*pow(2, -4.75)
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name = ["C", "C#", "D", "D#", "E", "F", "F#", "G", "G#", "A", "A#", "B"]
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def get_pitch(freq):
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h = round(12*log2(freq/C0))
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n = h % 12
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return name[n]
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def main_note(audio):
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rate, y = audio
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if len(y.shape) == 2:
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y = y.T[0]
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N = len(y)
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T = 1.0 / rate
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x = np.linspace(0.0, N*T, N)
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yf = fft(y)
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yf2 = 2.0/N * np.abs(yf[0:N//2])
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xf = np.linspace(0.0, 1.0/(2.0*T), N//2)
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volume_per_pitch = {}
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total_volume = np.sum(yf2)
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for freq, volume in zip(xf, yf2):
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if freq == 0:
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continue
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pitch = get_pitch(freq)
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if pitch not in volume_per_pitch:
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volume_per_pitch[pitch] = 0
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volume_per_pitch[pitch] += 1.0 * volume / total_volume
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return volume_per_pitch
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iface = gr.Interface(
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main_note,
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"audio",
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gr.outputs.Label(num_top_classes=4),
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examples=[
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["audio/recording1.wav"],
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["audio/cantina.wav"],
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],
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interpretation="default")
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if __name__ == "__main__":
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iface.launch()
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