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Runtime error
Runtime error
Upload with huggingface_hub
Browse files- README.md +6 -7
- __pycache__/run.cpython-36.pyc +0 -0
- audio/cantina.wav +0 -0
- audio/recording1.wav +0 -0
- requirements.txt +3 -0
- run.py +56 -0
- screenshot.png +0 -0
README.md
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---
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title:
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emoji:
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colorFrom:
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sdk: gradio
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sdk_version: 3.6
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app_file:
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: main_note_main
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emoji: 🔥
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colorFrom: indigo
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colorTo: indigo
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sdk: gradio
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sdk_version: 3.6
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app_file: run.py
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pinned: false
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---
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__pycache__/run.cpython-36.pyc
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Binary file (1.4 kB). View file
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audio/cantina.wav
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Binary file (132 kB). View file
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audio/recording1.wav
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Binary file (639 kB). View file
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requirements.txt
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scipy
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numpy
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matplotlibhttps://gradio-main-build.s3.amazonaws.com/c3bec6153737855510542e8154391f328ac72606/gradio-3.6-py3-none-any.whl
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run.py
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from math import log2, pow
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import os
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import numpy as np
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from scipy.fftpack import fft
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import gradio as gr
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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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volume_per_pitch = {k: float(v) for k, v in volume_per_pitch.items()}
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return volume_per_pitch
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demo = gr.Interface(
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main_note,
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gr.Audio(source="microphone"),
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gr.Label(num_top_classes=4),
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examples=[
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[os.path.join(os.path.dirname(__file__),"audio/recording1.wav")],
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[os.path.join(os.path.dirname(__file__),"audio/cantina.wav")],
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],
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interpretation="default",
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)
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if __name__ == "__main__":
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demo.launch()
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screenshot.png
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