Update app.py

app.py

@@ -64,7 +64,7 @@ if uploaded_file is not None:
           st.success('Done!')
             
           st.write(forecasts)
-          forecasts_df = pd.DataFrame({'ds':pd.date_range(start=serie['ds']+pd.to_timedelta(horizons, units=freq), periods=horizons, freq=freq),
+          forecasts_df = pd.DataFrame({'ds':pd.date_range(start=series_train['ds']+pd.to_timedelta(horizons, units=freq), periods=horizons, freq=freq),
                                        'mean':forecasts, 'low_ci_05':ci_05[:,0], 'low_ci_10':ci_10[:,0],
                                        'hi_ci_05':ci_05[:,1], 'hi_ci_10':ci_10[:,1]})
           csv = convert_df(forecasts)
@@ -88,8 +88,8 @@ if uploaded_file is not None:
                        ),
                        go.Scatter(
                            name=f'auto_arima_season_length-{seasonality}_mean',
-                           x=forecasts['ds'],
-                           y=forecasts['mean'],
+                           x=forecasts_df['ds'],
+                           y=forecasts_df['mean'],
                            mode='lines',
                            marker=dict(color='green'),
                            line=dict(width=1),