Update app.py

app.py

@@ -228,8 +228,8 @@ def transfer_learning_forecasting():
 
     col1, col2 = st.columns([2,4])
     with col1:
-        tab_insample = st.tabs(
-                    ["Input data"]
+        tab_insample, tab_forecast  = st.tabs(
+                    ["Input data", "Forecast"]
                 )
         with tab_insample:
             df_grid = df.drop(columns="unique_id")
@@ -240,6 +240,15 @@ def transfer_learning_forecasting():
                             height=360,
                         )
 
+        with tab_forecast:
+            df_grid = df.drop(columns="unique_id")
+            grid_table = AgGrid(
+                            df_grid,
+                            theme="alpine",
+                            fit_columns_on_grid_load=True,
+                            height=360,
+                        )
+            
     with col2:
     # Load pre-trained models
         nhits_model, timesnet_model, lstm_model, tft_model = select_model_based_on_frequency(frequency, nhits_models, timesnet_models, lstm_models, tft_models)