Update app.py

app.py

@@ -13,6 +13,7 @@ def convert_df(df):
 st.title('Forecasting time series')
 
 uploaded_file = st.file_uploader("Choose a CSV file", accept_multiple_files=False)
+
 if uploaded_file is not None:
      dataframe = pd.read_csv(uploaded_file)
      st.write(dataframe)
@@ -98,7 +99,7 @@ if uploaded_file is not None:
               
                        go.Scatter(
                            x=np.concatenate([forecasts_df['ds'].values,forecasts_df['ds'].values[::-1]]), # x, then x reversed
-                           y=pd.concat([forecasts_df['hi_ci_05'].values+forecasts_df['low_ci_05'].values[::-1]]), # upper, then lower reversed
+                           y=pd.concat([forecasts_df['hi_ci_05']+forecasts_df['low_ci_05'][::-1]]), # upper, then lower reversed
                             fill='toself',
                             fillcolor='#00CC96',
                             line=dict(color='#00CC96'),
@@ -116,7 +117,7 @@ if uploaded_file is not None:
                        # ),
                        go.Scatter(
                            x=np.concatenate([forecasts_df['ds'].values,forecasts_df['ds'].values[::-1]]), # x, then x reversed
-                           y=pd.concat([forecasts_df['hi_ci_10'].values+forecasts_df['low_ci_10'][::-1]]), # upper, then lower reversed
+                           y=pd.concat([forecasts_df['hi_ci_10']+forecasts_df['low_ci_10'][::-1]]), # upper, then lower reversed
                             fill='toself',
                             fillcolor='#B6E880',
                             line=dict(color='#00CC96'),