[Python] Is there any way to run a Dash app in Kaggle?

I've been working on a project involving Dash from plotly. I made small apps with jupyter-dash locally and I wanted to share my work on Kaggle but I can't run a dash app on Kaggle since I need a localhost. I didn't find any information about this issue so I'm coming here hoping that someone faced the same issue and solved it.

Thank you, Miljan.

app = JupyterDash(__name__)

year_options = []
for year in df_cleaned['Year'].unique():
year_options.append({'label':str(year), 'value':year})
year_options.append({'label':'All', 'value':'All'})

segment_options = []
for segment in df_cleaned['Segment'].unique():
segment_options.append({'label':str(segment), 'value':segment})
segment_options.append({'label':'All Customers', 'value':'All Customers'})


app.layout = html.Div([
dcc.Graph(id='graph'),
dcc.Dropdown(id='year-picker',
options=year_options,
value='All'),
dcc.Dropdown(id='segment-picker',
options=segment_options,
value='All Customers')


])
@app.callback(Output(component_id='graph', component_property='figure'),
[Input(component_id='year-picker', component_property='value'),
Input(component_id='segment-picker', component_property='value')])
def update_figure(selected_year, selected_segment):

# Data only for selected year from dropdown
if selected_year!= 'All' and selected_segment == 'All Customers':
filtered_df = df_cleaned[df_cleaned['Year']== int(selected_year)]

elif selected_year!= 'All' and selected_segment != 'All Customers':
filtered_df = df_cleaned[df_cleaned['Year']== int(selected_year)]
filtered_df = filtered_df[filtered_df['Segment']==selected_segment]

elif selected_year == 'All' and selected_segment == 'All Customers':
filtered_df = df_cleaned.copy(deep=True)

elif selected_year == 'All' and selected_segment != 'All Customers':
filtered_df = df_cleaned[df_cleaned['Segment']==selected_segment]


customer_country=filtered_df[['Country','Customer ID']].drop_duplicates()
filtered_df_grouped = customer_country.groupby(['Country'])['Customer ID'].aggregate('count').reset_index().sort_values('Customer ID', ascending=False)

data = go.Choropleth(
locations = filtered_df_grouped['Country'],
locationmode = 'country names',
z = filtered_df_grouped['Customer ID'],
text = filtered_df_grouped['Country'],
colorscale = 'Rainbow',
marker_line_color='darkgray',
marker_line_width=0.5,
colorbar_title = 'Customers',
)

layout = go.Layout(
title_text='Our customers',
title_x=0.5,
geo=dict(
showframe=False,
showcoastlines=False,
projection_type='equirectangular'
),
)

fig_update = go.Figure(data=data, layout=layout)

return fig_update

app.run_server(mode='inline')

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