Update app.py

app.py

@@ -14,6 +14,7 @@ if uploaded_file is not None:
      series = st.text_input("Write the name of the variable you want to forecast")
      date = st.text_input("Write the first date")
      freq = st.text_input("Write the frequency")
+     horizons = st.text_input("Write the number of horizons")
      if series is not None:
           series_train = pd.DataFrame(
                         {
@@ -25,3 +26,11 @@ if uploaded_file is not None:
               
           fig = px.line(series_train, x='ds', y='y', title=f'{series}')
           st.plotly_chart(fig)
+          
+          fcst = StatsForecast(
+                                  series_train, 
+                                  models=[(auto_arima, 12), (seasonal_naive, 12)], 
+                                  freq=freq, 
+                                  n_jobs=1
+                              )
+          forecasts = fcst.forecast(horizons, level=(80, 95))