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import gradio as gr
import numpy as np
import plotly.graph_objects as go
from plotly import tools
import scipy.signal as ssig
import librosa
def plot_stft(audio_file):
# Load audio file
audio, sampling_rate = librosa.load(audio_file)
# Compute stft
freq, frames, stft = ssig.stft(audio,
sampling_rate,
window='hann',
nperseg=512,
noverlap=412,
nfft=1024,
return_onesided=True,
boundary='zeros',
padded=True,
axis=- 1)
spectrogram = go.Heatmap(z=librosa.amplitude_to_db(np.abs(stft), ref=np.max),
x=frames,
y=freq,
colorscale='Viridis')
fig = go.Figure(spectrogram)
fig.update_layout(
#width=300,
#height=500,
font=dict(family='Latin Modern Roman', size=18),
xaxis=dict(
title='Time (seconds)',
titlefont=dict(family='Latin Modern Roman',
size=18)),
yaxis=dict(
title='Frequency (Hz)',
titlefont=dict(family='Latin Modern Roman',
size=18)),
margin=dict(l=0, r=0, t=0, b=0),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)')
fig.update_traces(colorbar_thickness=8, selector=dict(type='heatmap'))
fig.update_traces(showscale=True, showlegend=False, visible = True)
fig.update_xaxes(visible=True, showgrid=False)
fig.update_yaxes(visible=True, showgrid=False)
plotly.offline.plot(fig, filename='stft.html', config={'displaylogo': False, 'modeBarButtonsToRemove': ['toImage','zoomIn', 'zoomOut','resetScale']})
return 'stft.html'
# Gradio interface
demo = gr.Interface(fn=plot_stft,
inputs=gr.Audio(type="filepath"),
outputs="html")
demo.launch()
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