Fix app

app.py

@@ -104,7 +104,6 @@ def series_to_df_exogenous(series):
   dataframe = dataframe.reset_index()
   dataframe = dataframe.set_index('Date')
   dataframe = dataframe.dropna()
-
   # Create the eXogenous values
   dataframe['Sales First Difference'] = dataframe['Sales'] - dataframe['Sales'].shift(1)
   dataframe['Seasonal First Difference'] = dataframe['Sales'] - dataframe['Sales'].shift(12)
@@ -115,7 +114,7 @@ def series_to_df_exogenous(series):
 def dates_df(dataframe):
   dataframe = dataframe.reset_index()
   dataframe['Date'] = dataframe['Date'].dt.strftime('%B %d, %Y')
-  dataframe[df.columns] = dataframe[df.columns].astype(str)
+  dataframe[dataframe.columns] = dataframe[dataframe.columns].astype(str)
   return dataframe
 
 @st.cache_data
@@ -284,6 +283,7 @@ if (st.session_state.uploaded):
     key='forecast_button',
     type="primary",
   )
+
   if (forecast_button):
     df = series_to_df_exogenous(series)
 
@@ -300,7 +300,7 @@ if (st.session_state.uploaded):
 
     # make series for plotting purpose
     fitted_series = pd.Series(fitted)
-    fitted_series.index=index_of_fc
+    fitted_series.index = index_of_fc
     lower_series = pd.Series(confint[:, 0], index=index_of_fc)
     upper_series = pd.Series(confint[:, 1], index=index_of_fc)