Update app.py

app.py

@@ -161,18 +161,10 @@ def column_selection_ui(dataframe_key, selection_key):
         if not any(not isinstance(x, str) or is_mostly_numeric(x) for x in st.session_state[dataframe_key][col].dropna())
     ]
 
-    # Restore previous selections if they exist
-    previous_selections = st.session_state.get(f'{selection_key}_selections', {})
-
     col1, col2 = st.columns(2)
     with col1:
-        lob_column = st.selectbox(
-            'Choose the column for "lob":', 
-            string_columns, 
-            key=f'lob_column_{selection_key}',
-            index=string_columns.index(previous_selections.get('lob_column')) if previous_selections.get('lob_column') in string_columns else 0
-        )
-    selected_lob_values = previous_selections.get('selected_lob_values', [])
+        lob_column = st.selectbox('Choose the column for "lob":', string_columns, key=f'lob_column_{selection_key}')
+    selected_lob_values = []
 
     with col2:
         st.write("Select values for filtering:")
@@ -180,12 +172,12 @@ def column_selection_ui(dataframe_key, selection_key):
             unique_values = st.session_state[dataframe_key][lob_column].unique()
             unique_values.sort()
             for value in unique_values:
-                is_checked = value in selected_lob_values
-                if st.checkbox(f"{value}", key=f"checkbox_{value}_{selection_key}", value=is_checked):
-                    if not is_checked:
-                        selected_lob_values.append(value)
-                    else:
-                        selected_lob_values.remove(value)
+                if st.checkbox(f"{value}", key=f"checkbox_{value}_{selection_key}"):
+                    selected_lob_values.append(value)
+
+    # Initialize the variables to prevent UnboundLocalError
+    valuation_as_at = None
+    quarter_bracket = None
 
     # Filter the DataFrame based on selected 'lob' values
     if selected_lob_values: