How to style dcc.Slider to plotly Python's slider

Dash Python
1

I really like the style of Plotly Python’s sliders, as in this example:

import pandas as pd
import numpy as np
import plotly.offline as py
py.init_notebook_mode(connected=False)

data = [ dict( 
        visible = False,
        name = '𝜈 = '+str(step),
        x = np.arange(0,10,0.01), 
        y = np.sin(step*np.arange(0,10,0.01)) ) for step in np.arange(0,5,0.1) ]

steps = []
for i in range(len(data)):
    step = dict(
        method = 'restyle',  
        args = ['visible', [False] * len(data) ],
    )
    step['args'][1][i] = True # Toggle i'th trace to "visible"
    steps.append(step)

sliders = [ dict(
    active = 10,
    currentvalue = {"prefix": "Frequency: "},
    pad = {"t": 50},
    steps = steps
) ]

layout = dict( sliders = sliders )

fig = dict( data = data, layout = layout )

py.iplot( fig, filename = 'Sine wave slider' )

with this output:

go_layout_slider
go_layout_slider.png1283×486 26.7 KB

So, how do I style the dcc.Slider to give an output like this?