<s>[INST] import os

import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
import dash_bootstrap_components as dbc

app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])

server = app.server

df = pd.read_csv("https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv")

# Dashboard layout
app.layout = html.Div([
    html.Hr(),
    html.H1('COVID-19 Confirmed Cases Dashboard'),
    html.Hr(),
    dcc.Interval(
        id='interval-component',
        interval=5000, # in milliseconds
        n_intervals=0
    ),
    dcc.Graph(id='covid-map'),
    dbc.Card([
            dbc.DropdownMenu(
                label='Pick a Country',
                direction="right",
                children=[
                    dcc.Dropdown(
                        id='country-dropdown',
                        multi=False, 
                        options=[{'label': country, 'value': country} for country in df['Country/Region'].unique()],
                        value=''
                    )
                ]
            )
        ], className='mr-5 mt-5 mb-5'),
        
        ])
]=[]

# Update the DropdownMenu label text based on selected country
@app.callback(
    Output('country-dropdown', 'label'),
    [Input('country-dropdown', 'value')]
)
def update_label(value):
    return f'Selected Country: {value}'


@app.callback(
    Output('covid-map', 'figure'),
    [dash.dependencies.Input('country-dropdown', 'value')]
)

def map_plot(country):
    if(country is None):
        value = ''
    else:
        value = country?[/INST]