Update app.py

app.py

@@ -2,15 +2,19 @@ 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>
-        .stApp {
-            background-color: #f8f9fa;
-        }
         .title-container {
             text-align: center;
+            font-size: 36px;
+            font-weight: bold;
+            background: -webkit-linear-gradient(45deg, #ff7e5f, #feb47b);
+            -webkit-background-clip: text;
+            -webkit-text-fill-color: transparent;
         }
         .result-box {
             background-color: #4CAF50;
@@ -22,41 +26,45 @@ st.markdown("""
             font-weight: bold;
             margin-top: 20px;
         }
+        .sidebar-title {
+            font-size: 22px;
+            font-weight: bold;
+            color: #ff7e5f;
+            text-align: center;
+        }
     </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 to get the predicted life expectancy.")
-
-# Two-column Layout
-col1, col2 = st.columns(2)
-
-with col1:
-    year = st.number_input("Year", min_value=2000, max_value=2015, value=2008)
-    status = st.radio("Status", ["Developing", "Developed"], horizontal=True)
-    status = 1 if status == "Developed" else 0
-    adult_mortality = st.number_input("Adult Mortality Rate", min_value=1.0, max_value=723.0, value=144.0)
-    infant_deaths = st.number_input("Infant Deaths", min_value=0, max_value=1800, value=3)
-    alcohol = st.number_input("Alcohol Consumption", min_value=0.01, max_value=17.87, value=4.55)
-    percentage_expenditure = st.number_input("Percentage Expenditure", min_value=0.0, max_value=19479.91, value=738.25)
-    hepatitis_b = st.number_input("Hepatitis B Immunization (%)", min_value=1, max_value=99, value=83)
-    measles = st.number_input("Measles Cases", min_value=0, max_value=212183, value=2419)
-    bmi = st.number_input("BMI", min_value=1.0, max_value=87.3, value=38.3)
+st.markdown("### Enter the required details in the sidebar to get the predicted life expectancy.")
 
-with col2:
-    under_five_deaths = st.number_input("Under-Five Deaths", min_value=0, max_value=2500, value=4)
-    polio = st.number_input("Polio Immunization (%)", min_value=3, max_value=99, value=82)
-    total_expenditure = st.number_input("Total Healthcare Expenditure (%)", min_value=0.37, max_value=17.6, value=5.92)
-    diphtheria = st.number_input("Diphtheria Immunization (%)", min_value=2, max_value=99, value=82)
-    hiv_aids = st.number_input("HIV/AIDS Prevalence Rate", min_value=0.1, max_value=50.6, value=1.74)
-    gdp = st.number_input("GDP per Capita", min_value=1.68, max_value=119172.7, value=6611.52)
-    population = st.number_input("Population", min_value=34, max_value=1293859000, value=10230850)
-    thinness_1_19 = st.number_input("Thinness 1-19 years (%)", min_value=0.1, max_value=27.7, value=4.83)
-    thinness_5_9 = st.number_input("Thinness 5-9 years (%)", min_value=0.1, max_value=28.6, value=4.86)
-    income_composition = st.number_input("Income Composition of Resources", min_value=0.0, max_value=0.948, value=0.63)
-    schooling = st.number_input("Schooling (Years)", min_value=0.0, max_value=20.7, value=11.99)
+# Sidebar Inputs
+st.sidebar.markdown("<h2 class='sidebar-title'>Input Features</h2>", unsafe_allow_html=True)
 
+year = st.sidebar.slider("Year", 2000, 2015, 2008)
+status = st.sidebar.radio("Status", ["Developing", "Developed"], horizontal=True)
+status = 1 if status == "Developed" else 0
+adult_mortality = st.sidebar.slider("Adult Mortality Rate", 1, 723, 144)
+infant_deaths = st.sidebar.slider("Infant Deaths", 0, 1800, 3)
+alcohol = st.sidebar.slider("Alcohol Consumption", 0.01, 17.87, 4.55)
+percentage_expenditure = st.sidebar.slider("Percentage Expenditure", 0.0, 19479.91, 738.25)
+hepatitis_b = st.sidebar.slider("Hepatitis B Immunization (%)", 1, 99, 83)
+measles = st.sidebar.slider("Measles Cases", 0, 212183, 2419)
+bmi = st.sidebar.slider("BMI", 1.0, 87.3, 38.3)
+under_five_deaths = st.sidebar.slider("Under-Five Deaths", 0, 2500, 4)
+polio = st.sidebar.slider("Polio Immunization (%)", 3, 99, 82)
+total_expenditure = st.sidebar.slider("Total Healthcare Expenditure (%)", 0.37, 17.6, 5.92)
+diphtheria = st.sidebar.slider("Diphtheria Immunization (%)", 2, 99, 82)
+hiv_aids = st.sidebar.slider("HIV/AIDS Prevalence Rate", 0.1, 50.6, 1.74)
+gdp = st.sidebar.slider("GDP per Capita", 1.68, 119172.7, 6611.52)
+population = st.sidebar.slider("Population", 34, 1293859000, 10230850)
+thinness_1_19 = st.sidebar.slider("Thinness 1-19 years (%)", 0.1, 27.7, 4.83)
+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,
@@ -65,5 +73,6 @@ 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)