Cannot access site when running Dash in Jupyter Notebook

Question

I am trying to run Dash on Jupyter Notebook and I cannot access the site. I keep getting "The site can't be reached" with 127.0.0.1 refused to connect. I tried Safari after initially trying this on Chrome with the same result. I am using a MacBook Air.

I tried using https, I tried interrupting the kernel, checking for proxies. I have tried the following:

if __name__ == '__main__':
    app.run_server(debug=True, use_reloader=False)

and

if __name__ == '__main__':
    app.run_server(debug=True,ssl_context='adhoc')

to no avail.
​

pip install jupyter-dash

​import pandas as pd
import dash
from dash import html
from dash import dcc
from dash.dependencies import Input, Output
import plotly.express as px
​
spacex_df
​
​
# Read the airline data into pandas dataframe
spacex_csv_file = "https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/datasets/spacex_launch_geo.csv"
​
spacex_df=pd.read_csv(spacex_csv_file)
max_payload = spacex_df['Payload Mass (kg)'].max()
min_payload = spacex_df['Payload Mass (kg)'].min()
​
​
​
​
spacex_df

# Create a dash application
app = dash.Dash(__name__)
# Create an app layout
app.layout = html.Div(children=[html.H1('SpaceX Launch Records Dashboard',
                                        style={'textAlign': 'center', 'color': '#503D36',
                                               'font-size': 40}),
                                # TASK 1: Add a dropdown list to enable Launch Site selection
                                # The default select value is for ALL sites
                                # dcc.Dropdown(id='site-dropdown',...)
                                html.Br(),
                                html.Div(dcc.Dropdown(id='site-dropdown', 
                                                        options=[  
                                                                {'label': 'All Sites', 'value': 'ALL'},
                                                                {'label': 'CCAFS LC-40', 'value': 'CCAFS LC-40'},
                                                                {'label': 'VAFB SLC-4E', 'value': 'VAFB SLC-4E'},
                                                                {'label': 'KSC LC-39A', 'value': 'KSC LC-39A'},
                                                                {'label': 'CCAFS SLC-40', 'value': 'CCAFS SLC-40'}
                                                                ],
                                                        placeholder='Select a Launch Site here',
                                                        searchable=True
                                )),
                                html.Br(),
                                # TASK 2: Add a pie chart to show the total successful launches count for all sites
                                # If a specific launch site was selected, show the Success vs. Failed counts for the site
                                html.Div(dcc.Graph(id='success-pie-chart')),
                                html.Br(),
​
                                html.P("Payload range (Kg):"),
                                # TASK 3: Add a slider to select payload range
                                #dcc.RangeSlider(id='payload-slider',...)
                                html.Div(dcc.RangeSlider(id='payload-slider',
                                                            min=0,
                                                            max=10000,
                                                            step=1000,
                                                            value=[min_payload,max_payload]
                                                            )
                                ),
                                # TASK 4: Add a scatter chart to show the correlation between payload and launch success
                                html.Div(dcc.Graph(id='success-payload-scatter-chart')),
                                ])
​
# TASK 2:
# Add a callback function for `site-dropdown` as input, `success-pie-chart` as output
@app.callback(Output(component_id='success-pie-chart', component_property='figure'),
               Input(component_id='site-dropdown', component_property='value'),
               )
def build_pie(site):
    df = spacex_df
    if site == 'ALL':
         fig = px.pie(df, names='Launch Site', values='class')
    else:
        filtered_df= df[df['Launch Site'] == site]
        dff=filtered_df.groupby(['Launch Site', 'class']).size().reset_index()
        dff.rename(columns={0:'count'}, inplace=True)
        fig = px.pie(dff, names='class', values='count')
    return fig
# TASK 4:
# Add a callback function for `site-dropdown` and `payload-slider` as inputs, `success-payload-scatter-chart` as output
@app.callback(Output(component_id='success-payload-scatter-chart', component_property='figure'),
               [Input(component_id='site-dropdown', component_property='value'),
               Input(component_id='payload-slider', component_property='value')],
               )
def build_scatter(site,payload):
    low,high = (payload[0], payload[1])
    df = spacex_df
    filtered_dfa = df[df['Payload Mass (kg)'].between(low,high)]
    if site == 'ALL':
        fig = px.scatter(filtered_dfa,x="Payload Mass (kg)", y="class", color="Booster Version Category", title='Payload vs. Outcome for All Sites')
    else:
        filtered_dfb = filtered_dfa[filtered_dfa['Launch Site'] == site]
        fig = px.scatter(filtered_dfb,x="Payload Mass (kg)", y="class", color="Booster Version Category", title='Payload vs. Outcome for ' + site)
    return fig
​
​
# Run the app
​
if __name__ == '__main__':
   app.run_server()
Dash is running on http://127.0.0.1:8050/

 * Serving Flask app '__main__' (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: off
 * Running on http://127.0.0.1:8050/ (Press CTRL+C to quit)

​ ​ ​