Update app.py

app.py

@@ -2,10 +2,9 @@ import streamlit as st
 import numpy as np
 import pickle
 
-# Load trained model
+
 model = pickle.load(open("life_expectancy_model.pkl", "rb"))
 
-# Apply CSS for Better UI
 st.markdown("""
     <style>
         .title-container {
@@ -35,11 +34,9 @@ st.markdown("""
     </style>
 """, unsafe_allow_html=True)
 
-# Attractive Title
 st.markdown("<h1 class='title-container'>Life Expectancy Prediction</h1>", unsafe_allow_html=True)
 st.markdown("### Enter the required details in the sidebar to get the predicted life expectancy.")
 
-# Sidebar Inputs
 st.sidebar.markdown("<h2 class='sidebar-title'>Input Features</h2>", unsafe_allow_html=True)
 
 year = st.sidebar.slider("Year", 2000, 2015, 2008)
@@ -64,7 +61,6 @@ thinness_5_9 = st.sidebar.slider("Thinness 5-9 years (%)", 0.1, 28.6, 4.86)
 income_composition = st.sidebar.slider("Income Composition of Resources", 0.0, 0.948, 0.63)
 schooling = st.sidebar.slider("Schooling (Years)", 0.0, 20.7, 11.99)
 
-# Predict Button
 if st.button("Predict Life Expectancy"):
     features = np.array([[year, status, adult_mortality, infant_deaths, alcohol, percentage_expenditure,
                           hepatitis_b, measles, bmi, under_five_deaths, polio, total_expenditure,
@@ -73,6 +69,5 @@ if st.button("Predict Life Expectancy"):
     
     prediction = model.predict(features)[0]
 
-    # Display Result in a Stylish Box
     st.markdown(f'<div class="result-box">Predicted Life Expectancy: <b>{prediction:.2f} years</b></div>', 
                 unsafe_allow_html=True)