getting 'error loading layout' while running dash app - machine-learning

Question

I am getting 'error loading layout' while running dash app. I have tried all solution also tried unistalling and again installing dash,plotly,pandas libraries but still getting same error.
terminal:
Serving Flask app "app" (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: on
#code for stock visualization and prediction app
import dash
import dash_core_components as dcc
import dash_html_components as html
from datetime import datetime as dt
from datetime import date
from dash.dependencies import Input, Output, State
from flask.helpers import url_for
import yfinance as yf
import pandas as pd
import plotly.graph_objs as go
import plotly.express as px
app = dash.Dash()
server = app.server
app.layout=html.Div(
className="container",
children=[
#inpot section
html.Div(children=[
html.H1("Welcome to stock dash app!",className="start",style={'color':'#ffffff'}),
html.Div(children=[
html.Div(children=[
dcc.Input(id="stock_code",type='text',placeholder="Enter Stock Code",className="inputbox"),
html.Button('Submit',id='submit_button',className="submit_button",style={'color':'#fffbf5'})
]),
html.Div(
children=[
# Date range picker input
dcc.DatePickerRange(
id='date_range_picker',
min_date_allowed=date(1990,12,31),
initial_visible_month=date(2021,12,3),
end_date=dt.now,
)
]),
html.Div(
className='button',
children=[
# Stock price button
html.Button('Stock Price',id='Stock_price_button',className="stock_p_b",style={'color':'#fffbf5'}),
html.Button('Forcast',id='Forcast_button',className="forecast_b",style={'color':'#fffbf5'}),
]
),
html.Div(children=[
dcc.Input(id="days",type='number',placeholder="Number of Days",className="inputbox"),
html.Button('Indicator',id='Indicator_button',className="indicator_b",style={'color':'#fffbf5'})
]
)
])
],
className='nav'),
html.Div(
[
html.Div(
children=[
html.Img('',id='logo',className='company_logo'),
html.H1('',id='c_name',className='company_name',style={'color':'#064635'})
],
className="header"),
html.Div( #Description
html.P('',id='description', className='c_desc',style={'color':'#064635'}),),
html.Div(
id='stock_graph'
),
html.Div(
id='indicator_graph'),
html.Div(
id='forcast_graph'
)
],
className="content"
)
]
)
#app.callback(
[
Output('logo','children'),
Output('c_name','children'),
Output('description','children')
],
[
Input('stock_code','value'),
],
State(component_id='submit_button',component_property='n_clicks')
)
def update_data(arg1,arg2):
ticker = yf.Ticker(arg1)
inf = ticker.info
df = pd.DataFrame().from_dict(inf, orient="index").T
img_url=ticker.info['logo_url'],
name=ticker.info['shortName'],
des=ticker.info['longBusinessSummary']
return img_url,name,des
if __name__ == '__main__':
app.run_server(debug=True,)