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plotly dash - Is there a difference (in the point of vue of the interpreter) between a new line and semicolon in python? (@callb

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I've recently start working with Dash in python and still have the habit of putting semicolon at the end of line, I know there is supposedly no difference between a newline and a semicolon in python but after having done my first @callback() function I put one before the def of the update() function and a SyntaxError: invalid syntax appeared. So is there a real, even if it is tiny, difference between the two?

(here my code)

from dash import Dash, html, dcc, callback, Output, Input, dash_table
import dash_daq as daq
import plotly.express as px
import pandas as pd
from plotly.graph_objs._figure import Figure

df:pd.DataFrame = pd.read_csv("mydata.csv");

app:Dash = Dash();
app.config.suppress_callback_exceptions = True;

app.layout = [
    html.Div(
        id ='parent-div',
        dcc.Graph('section-graph'),
        dcc.RadioItems(['ALL', 'Groupe 1', 'Groupe 2', 'Groupe 3'], 'ALL', id='section-choice', inline=True),
        
    )
]


@callback(
    Output('section-graph', 'figure'),
    Input('section-choice', 'value')
); #this semicolon cause a SyntaxError: invalid syntax
def update_section_graph(value:str):
    if value == 'ALL':
        return px.pie(df, 
                      'Section',
                      title='Section',
                      hole=.3,
                      labels='Section',
                      color='Section',
                      color_discrete_map={'AR': '#be5050', 'GCG': '#5fac4a', 'GC': '#e64509', 
                                          'GM': '#e0d429', 'EL': '#ffc300',  'IN': '#e293ee', 
                                          'SV': '#ee931b', 'MA': '#6ae255',  'MT': '#ece365',
                                          'PH': '#47bd59', 'MX': '#c2b60d', 'SIE': '#db7171',
                                          'SC': '#f2b2fd'}
                                          ).update_traces(textinfo='percent+label').update_layout(showlegend=False);
    return px.pie(df.loc[df['Groupe'] == value], 
                  'Section',
                  title='Section',
                  hole=.3,
                  labels='Section',
                  color='Section',
                  color_discrete_map={'AR': '#be5050', 'GCG': '#5fac4a', 'GC': '#e64509', 
                                      'GM': '#e0d429', 'EL': '#ffc300',  'IN': '#e293ee', 
                                      'SV': '#ee931b', 'MA': '#6ae255',  'MT': '#ece365',
                                      'PH': '#47bd59', 'MX': '#c2b60d', 'SIE': '#db7171',
                                      'SC': '#f2b2fd'}
                  ).update_traces(textinfo='percent+label').update_layout(showlegend=False);

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