Update app.py

app.py

@@ -4,7 +4,7 @@ import pandas as pd
 
 def get_market_submarket(df, google_ola):
     filtered_row = df[df['google_ola'] == google_ola].iloc[0]
-    return filtered_row['rent_combined'], filtered_row['building_sf'], filtered_row['market_costar'], filtered_row['submarket_costar']
+    return filtered_row['rent_combined'], filtered_row['building_sf'], filtered_row['rented_sf'], filtered_row['market_costar'], filtered_row['submarket_costar']
 
 def main():
     st.set_page_config(initial_sidebar_state="collapsed", layout="wide")
@@ -21,8 +21,10 @@ def main():
     
     if 'user_select_value' not in st.session_state:
         st.session_state['user_select_value'] = ""
-    if 'property_lsf' not in st.session_state:
-        st.session_state['property_lsf'] = 0
+    if 'building_sf' not in st.session_state:
+        st.session_state['building_sf'] = 0
+    if 'rented_sf' not in st.session_state:
+        st.session_state['rented_sf'] = 0
     if 'execution_dates' not in st.session_state:
         st.session_state['execution_dates'] = 2014
     if 'LSF' not in st.session_state:
@@ -82,10 +84,11 @@ def main():
             st.session_state['user_select_value'] = selected_option
             
             st.session_state['execution_dates'] = 2014
-            prediction, property_lsf, market_val, submarket_val = get_market_submarket(df_properties, selected_option)
+            prediction, building_sf, rented_sf, market_val, submarket_val = get_market_submarket(df_properties, selected_option)
             st.session_state['market_val'] = market_val
             st.session_state['submarket_val'] = submarket_val
-            st.session_state['property_lsf'] = property_lsf
+            st.session_state['building_sf'] = building_sf
+            st.session_state['rented_sf'] = rented_sf
             st.session_state['prediction'] = prediction
 
             st.switch_page("pages/market_rent_estimation.py")