app update

app.py

@@ -23,6 +23,7 @@ st.set_page_config(
 st.write("<center><h1>Electricity Access Prediction App ⚡</h1></center>", unsafe_allow_html=True)
 
 # Sidebar navigation
+st.sidebar.write("## Choose a page")
 page = st.sidebar.selectbox("Select Page", ["Predicted Dataset", "Prediction"])
 
 
@@ -77,12 +78,12 @@ elif page == "Prediction":
     with col1:
         input_data['Year'] = st.number_input("Input Year", min_value=1990, max_value=2030, step=1)
         input_data['IncomeGroup'] = st.radio("Pick an income group", ["Lower middle income", "Upper middle income", "High income", "Low income"])
-        input_data['Population'] = st.slider("Population of the country", min_value=9000, max_value=10000000000)
+        input_data['Population'] = st.number_input("Population of the country", min_value=9000, max_value=10000000000)
 
     with col2:
-        input_data['GDP_per_capita_USD'] = st.slider("Enter GDP per capita (Current $)", min_value=20.0, max_value=250000.0, step=0.1)
-        input_data['Inflation_annual_percent'] = st.slider("Enter Consumer Price Index", min_value=-20.0, max_value=25000.0, step=0.1)
-        input_data['Consumption (kWh per capita)'] = st.slider("Enter Electricity Consumption", min_value=10.0, max_value=55000.0, step=0.1)
+        input_data['GDP_per_capita_USD'] = st.number_input("Enter GDP per capita (Current $)", min_value=20.0, max_value=250000.0, step=0.1)
+        input_data['Inflation_annual_percent'] = st.number_input("Enter Consumer Price Index", min_value=-20.0, max_value=25000.0, step=0.1)
+        input_data['Consumption (kWh per capita)'] = st.number_input("Enter Electricity Consumption", min_value=10.0, max_value=55000.0, step=0.1)
 
     # Define the custom CSS
     predict_button_css = """