Update app.py

app.py

@@ -49,7 +49,6 @@ st.markdown("""
 
 st.markdown("<h1 class='title'>Life Expectancy Prediction</h1>", unsafe_allow_html=True)
 
-st.markdown("<h3 class='section-title'>General Information</h3>", unsafe_allow_html=True)
 col1, col2 = st.columns(2)
 
 with col1:
@@ -95,77 +94,3 @@ if st.button("Predict Life Expectancy"):
     )
 
 
-
-# import streamlit as st
-# import numpy as np
-# import pickle
-
-
-# model = pickle.load(open("life_expectancy_model.pkl", "rb"))
-
-# st.markdown("""
-#     <style>
-#         .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;
-#             padding: 15px;
-#             border-radius: 10px;
-#             color: white;
-#             text-align: center;
-#             font-size: 22px;
-#             font-weight: bold;
-#             margin-top: 20px;
-#         }
-#         .sidebar-title {
-#             font-size: 22px;
-#             font-weight: bold;
-#             color: #ff7e5f;
-#             text-align: center;
-#         }
-#     </style>
-# """, unsafe_allow_html=True)
-
-# 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.")
-
-# 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)
-
-# 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,
-#                           diphtheria, hiv_aids, gdp, population, thinness_1_19, thinness_5_9,
-#                           income_composition, schooling]])
-    
-#     prediction = model.predict(features)[0]
-
-#     st.markdown(f'<div class="result-box">Predicted Life Expectancy: <b>{prediction:.2f} years</b></div>', 
-#                 unsafe_allow_html=True)