Second graph on the same page with dash and styling specific elements with external stylesheet

Question

I am having trouble fitting two graphs onto one page in dash-plotly. When using code attached below only the top plot is being displayed. Besides that, I do not fully understand styling with CSS and I would be over the moon if someone could explain to me that in the below code( how to address particular elements from the page in external CSS)

from dash import html, dcc
import plotly.express as px

from app import app
from data import Rejects1
from navbar import create_navbar

df = Rejects1.dfrj

nav = create_navbar()

colors = {
    'background': '#ededed',
    'text': '#0b1710'
}

fig = px.bar(df, x="date", y="amount", color="reject_type", barmode="group", labels={
    "date": "Day",
    "amount": "Amount",
    "reject_type": "Reject Type",
})

fig2 = px.bar(df, x="date", y="amount", barmode="group", labels={
    "date": "Day",
    "amount": "Amount"
})


def create_rejects1():
    layout = html.Div(style={'backgroundColor': colors['background']},
                      children=[nav,
                                html.Div(children='Rejects this year', style={
                                    'textAlign': 'center',
                                    'color': colors['text'],
                                    'fontFamily': "Times New Roman"
                                }),

                                dcc.Graph(
                                    id='example-graph-2',
                                    figure=fig
                                )
                                ]),
    # This plot is not being displayed
    html.Div(children=[html.Div(children='Rejects ', style={
        'textAlign': 'center',
        'color': colors['text'],
        'fontFamily': "Times New Roman"
    }),

                       dcc.Graph(
                           id='2',
                           figure=fig2
                       )
                       ])
    return layout


fig.update_layout(
    plot_bgcolor=colors['background'],
    paper_bgcolor=colors['background'],
    font_color=colors['text']
)