Update app.py

app.py

@@ -2,41 +2,59 @@ import streamlit as st
 import numpy as np
 import pickle
 
-
+# Load the model
 model = pickle.load(open("life_expectancy_model.pkl", "rb"))
 
+# Page Configuration
+st.set_page_config(
+    page_title="Life Expectancy Prediction",
+    page_icon="📊",
+    layout="centered",
+)
+
+# Custom Styling
 st.markdown("""
     <style>
-        .title-container {
+        .stApp {
+            background-color: #E3F2FD;  /* Soft blue background */
+        }
+        .title {
             text-align: center;
-            font-size: 36px;
+            font-size: 32px;
             font-weight: bold;
-            background: -webkit-linear-gradient(45deg, #ff7e5f, #feb47b);
-            -webkit-background-clip: text;
-            -webkit-text-fill-color: transparent;
+            color: #2C3E50;
         }
-        .result-box {
-            background-color: #4CAF50;
-            padding: 15px;
-            border-radius: 10px;
+        .stButton > button {
+            width: 100%;
+            background-color: #1E88E5;
             color: white;
+            font-size: 16px;
+            border-radius: 6px;
+        }
+        .result-box {
             text-align: center;
             font-size: 22px;
             font-weight: bold;
+            color: white;
+            padding: 15px;
+            border-radius: 8px;
             margin-top: 20px;
+            background-color: #388E3C; /* Green */
         }
         .sidebar-title {
             font-size: 22px;
             font-weight: bold;
-            color: #ff7e5f;
+            color: #1E88E5;
             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.")
+# Title
+st.markdown("<h1 class='title'>Life Expectancy Prediction</h1>", unsafe_allow_html=True)
+st.write("This tool predicts life expectancy based on various health and economic factors.")
 
+# Sidebar Inputs
 st.sidebar.markdown("<h2 class='sidebar-title'>Input Features</h2>", unsafe_allow_html=True)
 
 year = st.sidebar.slider("Year", 2000, 2015, 2008)
@@ -61,6 +79,7 @@ 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)
 
+# Prediction
 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,
@@ -69,5 +88,87 @@ if st.button("Predict Life Expectancy"):
     
     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)
+    st.markdown(
+        f"""
+        <div class="result-box">
+            Predicted Life Expectancy: <b>{prediction:.2f} years</b>
+        </div>
+        """,
+        unsafe_allow_html=True,
+    )
+
+
+
+# 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)