Update app.py

app.py

@@ -242,7 +242,6 @@ def prediction():
     st.sidebar.markdown("**Occupation Code**: Choose the category code of the occupation of the individual (e.g., Category X, Category Y).")
     st.sidebar.markdown("**Major Occupation Code**: Select the major occupation code of the individual (e.g., Occupation 1, Occupation 2).")
     st.sidebar.markdown("**Total Employed**: Specify the number of persons worked for the employer (numeric value, e.g., 3, 5).")
-    st.sidebar.markdown("**Household Stat**: Choose the detailed household and family status of the individual (e.g., Single, Married-civilian spouse present).")
     st.sidebar.markdown("**Household Summary**: Select the detailed household summary (e.g., Child under 18 never married, Spouse of householder).")
     st.sidebar.markdown("**Veteran Benefits**: Choose whether the individual receives veteran benefits (Yes or No).")
     st.sidebar.markdown("**Tax Filer Status**: Select the tax filer status of the individual (e.g., Single, Joint both 65+).")
@@ -250,8 +249,6 @@ def prediction():
     st.sidebar.markdown("**Losses**: Specify any losses the individual has (numeric value, e.g., 300.0).")
     st.sidebar.markdown("**Dividends from Stocks**: Specify any dividends from stocks for the individual (numeric value, e.g., 120.5).")
     st.sidebar.markdown("**Citizenship**: Select the citizenship status of the individual (e.g., Native, Foreign Born- Not a citizen of U S).")
-    st.sidebar.markdown("**Year of Migration**: Enter the year of migration for the individual (numeric value, e.g., 2005).")
-    st.sidebar.markdown("**Country of Birth**: Choose the individual's birth country (e.g., United-States, Other).")
     st.sidebar.markdown("**Importance of Record**: Enter the weight of the instance (numeric value, e.g., 0.9).")
     
     # Create the input fields in the order of your DataFrame
@@ -272,7 +269,6 @@ def prediction():
         'occupation_code': 0,  # Default value
         'occupation_code_main': unique_values['occupation_code_main'][0],
         'total_employed': 0,  # Default value
-        'household_stat': unique_values['household_stat'][0],
         'household_summary': unique_values['household_summary'][0],
         'vet_benefit': 0,  # Default value
         'tax_status': unique_values['tax_status'][0],
@@ -280,8 +276,6 @@ def prediction():
         'losses': 0,  # Default value
         'stocks_status': 0,  # Default value
         'citizenship': unique_values['citizenship'][0],
-        'mig_year': 0,
-        'country_of_birth_own': 'United-States',
         'importance_of_record': 0.0  # Default value
     }
     
@@ -307,7 +301,6 @@ def prediction():
         input_data['occupation_code'] = st.selectbox("Category Code of Occupation", unique_values['occupation_code'], key='occupation_code')
         input_data['occupation_code_main'] = st.selectbox("Major Occupation Code", unique_values['occupation_code_main'], key='occupation_code_main')
         input_data['total_employed'] = st.number_input("Number of Persons Worked for Employer", min_value=0, key='total_employed')
-        input_data['household_stat'] = st.selectbox("Detailed Household and Family Status", unique_values['household_stat'], key='household_stat')
         input_data['household_summary'] = st.selectbox("Detailed Household Summary", unique_values['household_summary'], key='household_summary')
         input_data['vet_benefit'] = st.selectbox("Veteran Benefits", unique_values['vet_benefit'], key='vet_benefit')
     
@@ -317,8 +310,6 @@ def prediction():
         input_data['losses'] = st.number_input("Losses", min_value=0, key='losses')
         input_data['stocks_status'] = st.number_input("Dividends from Stocks", min_value=0, key='stocks_status')
         input_data['citizenship'] = st.selectbox("Citizenship", unique_values['citizenship'], key='citizenship')
-        input_data['mig_year'] = st.selectbox("Migration Year", unique_values['mig_year'], key='migration_year')
-        input_data['country_of_birth_own'] = st.selectbox("Country of Birth", unique_values['country_of_birth_own'], key='country_of_birth_own')
         input_data['importance_of_record'] = st.number_input("Importance of Record", min_value=0, key='importance_of_record')
     
     # Button to make predictions