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feat: gradio app
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import numpy as np
import librosa
import matplotlib.pyplot as plt
from librosa.display import specshow
def plot_spec(y: np.ndarray, sr: int, title: str = "Spectrogram") -> plt.Figure:
y[np.isnan(y)] = 0
y[np.isinf(y)] = 0
stft = librosa.stft(y=y)
D = librosa.amplitude_to_db(np.abs(stft), ref=np.max)
fig = plt.figure(figsize=(10, 4))
specshow(D, sr=sr, y_axis="linear", x_axis="time", cmap="viridis")
plt.title(title)
plt.tight_layout()
return fig