Using lgbm pipeline model for house price prediction in web app

Using Streamlit
2

Use selectbox instead of multiselect. this way the value of address is single or scalar and not a list and also the first value of address is at index 0 of the option.

Address = st.selectbox("Address", address)

Then revise the output as well. Put Address under the bracket.

output = {'Area':[Area], 'Room':[Room], 'Parking':[Parking],
          'Warehouse':[Warehouse], 'Elevator':[Elevator], 'Address':[Address]}