Update app.py

app.py

@@ -10,87 +10,233 @@ st.set_page_config(
     layout="centered",
 )
 
-st.markdown("""
-    <style>
-        .stApp {
-            background-color: #E3F2FD;  /* Soft blue background */
-        }
-        .title {
-            text-align: center;
-            font-size: 32px;
-            font-weight: bold;
-            color: #2C3E50;
-        }
-        .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 */
-        }
-        .section-title {
-            font-size: 20px;
-            font-weight: bold;
-            color: #1E88E5;
-            margin-top: 20px;
-        }
-    </style>
-""", unsafe_allow_html=True)
-
-st.markdown("<h1 class='title'>Life Expectancy Prediction</h1>", unsafe_allow_html=True)
-
-col1, col2 = st.columns(2)
-
-with col1:
-    year = st.slider("Year", 2000, 2015, 2008)
-    status = st.radio("Status", ["Developing", "Developed"], horizontal=True)
-    status = 1 if status == "Developed" else 0
-    adult_mortality = st.slider("Adult Mortality Rate", 1, 723, 144)
-    infant_deaths = st.slider("Infant Deaths", 0, 1800, 3)
-    alcohol = st.slider("Alcohol Consumption", 0.01, 17.87, 4.55)
-    percentage_expenditure = st.slider("Percentage Expenditure", 0.0, 19479.91, 738.25)
-    hepatitis_b = st.slider("Hepatitis B Immunization (%)", 1, 99, 83)
-    measles = st.slider("Measles Cases", 0, 212183, 2419)
-    bmi = st.slider("BMI", 1.0, 87.3, 38.3)
-    polio = st.slider("Polio Immunization (%)", 3, 99, 82)
-
-with col2:
-    under_five_deaths = st.slider("Under-Five Deaths", 0, 2500, 4)
-    total_expenditure = st.slider("Total Healthcare Expenditure (%)", 0.37, 17.6, 5.92)
-    diphtheria = st.slider("Diphtheria Immunization (%)", 2, 99, 82)
-    hiv_aids = st.slider("HIV/AIDS Prevalence Rate", 0.1, 50.6, 1.74)
-    gdp = st.slider("GDP per Capita", 1.68, 119172.7, 6611.52)
-    population = st.slider("Population", 34, 1293859000, 10230850)
-    thinness_1_19 = st.slider("Thinness 1-19 years (%)", 0.1, 27.7, 4.83)
-    thinness_5_9 = st.slider("Thinness 5-9 years (%)", 0.1, 28.6, 4.86)
-    income_composition = st.slider("Income Composition of Resources", 0.0, 0.948, 0.63)
-    schooling = st.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]])
+# Define session state for navigation
+if 'page' not in st.session_state:
+    st.session_state.page = "home"
+
+def set_page(page):
+    st.session_state.page = page
+
+st.sidebar.title("Navigation")
+st.sidebar.button("Model Report", on_click=set_page, args=("report",))
+st.sidebar.button("Hands-on Model", on_click=set_page, args=("model",))
+
+if st.session_state.page == "home":
+    st.markdown("""
+        <style>
+            .stApp {
+                background-color: #E3F2FD;  /* Soft blue background */
+            }
+            .title {
+                text-align: center;
+                font-size: 32px;
+                font-weight: bold;
+                color: #2C3E50;
+            }
+            .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 */
+            }
+            .section-title {
+                font-size: 20px;
+                font-weight: bold;
+                color: #1E88E5;
+                margin-top: 20px;
+            }
+        </style>
+    """, unsafe_allow_html=True)
+
+    st.markdown("<h1 class='title'>Life Expectancy Prediction</h1>", unsafe_allow_html=True)
+
+    st.subheader("Select a Step:")
+    if st.button("Problem Statement"):
+        set_page("problem")
+    if st.button("Simple EDA"):
+        set_page("eda")
+    if st.button("Visualizations"):
+        set_page("visuals")
+    if st.button("Model Building"):
+        set_page("model_building")
+    if st.button("Final Model"):
+        set_page("final_model")
+
+elif st.session_state.page == "model":
+    st.subheader("Hands-on Model")
+    col1, col2 = st.columns(2)
+
+    with col1:
+        year = st.slider("Year", 2000, 2015, 2008)
+        status = st.radio("Status", ["Developing", "Developed"], horizontal=True)
+        status = 1 if status == "Developed" else 0
+        adult_mortality = st.slider("Adult Mortality Rate", 1, 723, 144)
+        infant_deaths = st.slider("Infant Deaths", 0, 1800, 3)
+        alcohol = st.slider("Alcohol Consumption", 0.01, 17.87, 4.55)
+        percentage_expenditure = st.slider("Percentage Expenditure", 0.0, 19479.91, 738.25)
+        hepatitis_b = st.slider("Hepatitis B Immunization (%)", 1, 99, 83)
+        measles = st.slider("Measles Cases", 0, 212183, 2419)
+        bmi = st.slider("BMI", 1.0, 87.3, 38.3)
+        polio = st.slider("Polio Immunization (%)", 3, 99, 82)
+
+    with col2:
+        under_five_deaths = st.slider("Under-Five Deaths", 0, 2500, 4)
+        total_expenditure = st.slider("Total Healthcare Expenditure (%)", 0.37, 17.6, 5.92)
+        diphtheria = st.slider("Diphtheria Immunization (%)", 2, 99, 82)
+        hiv_aids = st.slider("HIV/AIDS Prevalence Rate", 0.1, 50.6, 1.74)
+        gdp = st.slider("GDP per Capita", 1.68, 119172.7, 6611.52)
+        population = st.slider("Population", 34, 1293859000, 10230850)
+        thinness_1_19 = st.slider("Thinness 1-19 years (%)", 0.1, 27.7, 4.83)
+        thinness_5_9 = st.slider("Thinness 5-9 years (%)", 0.1, 28.6, 4.86)
+        income_composition = st.slider("Income Composition of Resources", 0.0, 0.948, 0.63)
+        schooling = st.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,
+        )
+
+elif st.session_state.page == "report":
+    st.subheader("Model Report")
+    st.write("Detailed model performance metrics will be shown here.")
+
+elif st.session_state.page == "problem":
+    st.subheader("Problem Statement")
+    st.write("Details about the problem statement will go here.")
+
+elif st.session_state.page == "eda":
+    st.subheader("Simple EDA")
+    st.write("Exploratory Data Analysis details will be here.")
+
+elif st.session_state.page == "visuals":
+    st.subheader("Visualizations")
+    st.write("Graphs and charts will be displayed here.")
+
+elif st.session_state.page == "model_building":
+    st.subheader("Model Building")
+    st.write("Steps for building the model will be described here.")
+
+elif st.session_state.page == "final_model":
+    st.subheader("Final Model")
+    st.write("Details about the final model will be displayed here.")
+
+
+
+# import streamlit as st
+# import numpy as np
+# import pickle
+
+# model = pickle.load(open("life_expectancy_model.pkl", "rb"))
+
+# st.set_page_config(
+#     page_title="Life Expectancy Prediction",
+#     page_icon="📊",
+#     layout="centered",
+# )
+
+# st.markdown("""
+#     <style>
+#         .stApp {
+#             background-color: #E3F2FD;  /* Soft blue background */
+#         }
+#         .title {
+#             text-align: center;
+#             font-size: 32px;
+#             font-weight: bold;
+#             color: #2C3E50;
+#         }
+#         .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 */
+#         }
+#         .section-title {
+#             font-size: 20px;
+#             font-weight: bold;
+#             color: #1E88E5;
+#             margin-top: 20px;
+#         }
+#     </style>
+# """, unsafe_allow_html=True)
+
+# st.markdown("<h1 class='title'>Life Expectancy Prediction</h1>", unsafe_allow_html=True)
+
+# col1, col2 = st.columns(2)
+
+# with col1:
+#     year = st.slider("Year", 2000, 2015, 2008)
+#     status = st.radio("Status", ["Developing", "Developed"], horizontal=True)
+#     status = 1 if status == "Developed" else 0
+#     adult_mortality = st.slider("Adult Mortality Rate", 1, 723, 144)
+#     infant_deaths = st.slider("Infant Deaths", 0, 1800, 3)
+#     alcohol = st.slider("Alcohol Consumption", 0.01, 17.87, 4.55)
+#     percentage_expenditure = st.slider("Percentage Expenditure", 0.0, 19479.91, 738.25)
+#     hepatitis_b = st.slider("Hepatitis B Immunization (%)", 1, 99, 83)
+#     measles = st.slider("Measles Cases", 0, 212183, 2419)
+#     bmi = st.slider("BMI", 1.0, 87.3, 38.3)
+#     polio = st.slider("Polio Immunization (%)", 3, 99, 82)
+
+# with col2:
+#     under_five_deaths = st.slider("Under-Five Deaths", 0, 2500, 4)
+#     total_expenditure = st.slider("Total Healthcare Expenditure (%)", 0.37, 17.6, 5.92)
+#     diphtheria = st.slider("Diphtheria Immunization (%)", 2, 99, 82)
+#     hiv_aids = st.slider("HIV/AIDS Prevalence Rate", 0.1, 50.6, 1.74)
+#     gdp = st.slider("GDP per Capita", 1.68, 119172.7, 6611.52)
+#     population = st.slider("Population", 34, 1293859000, 10230850)
+#     thinness_1_19 = st.slider("Thinness 1-19 years (%)", 0.1, 27.7, 4.83)
+#     thinness_5_9 = st.slider("Thinness 5-9 years (%)", 0.1, 28.6, 4.86)
+#     income_composition = st.slider("Income Composition of Resources", 0.0, 0.948, 0.63)
+#     schooling = st.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,
-    )
+#     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,
+#     )