Update app.py

app.py

@@ -226,14 +226,18 @@ def transfer_learning_forecasting():
     frequency = determine_frequency(df)
     st.sidebar.write(f"Detected frequency: {frequency}")
 
-    df_grid = df.drop(columns="unique_id")
-    grid_table = AgGrid(
-                    df_grid,
-                    editable=False,
-                    theme="streamlit",
-                    fit_columns_on_grid_load=True,
-                    height=360,
-                )
+    tab_insample = st.tabs(
+                ["Input data"]
+            )
+    with tab_insample:
+        df_grid = df.drop(columns="unique_id")
+        grid_table = AgGrid(
+                        df_grid,
+                        editable=False,
+                        # theme="streamlit",
+                        fit_columns_on_grid_load=True,
+                        height=360,
+                    )
 
     # 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)