import streamlit as st
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from PIL import Image

st.set_page_config(
    page_title='HEART FAILURE - EDA',
    layout='wide',
    initial_sidebar_state='expanded'
)

def run():
    # Membuat Title
    st.title('Death Event Prediction')

    # Membuat Sub Header
    st.subheader('EDA for Heart Failure Death Event')

    # Menambahkan Gambar
    image = Image.open('heart.jpeg')
    st.image(image, caption='Heart Failure')

    # Menambahkan Deskripsi
    st.write('This page created by **Imam Zarkasie**')

    # Membuat Garis Lurus
    st.markdown('---')

    # Magic Syntax
    '''
    On this page, the author will do a simple exploration.
    The dataset used is the Heart Failure dataset.
    This dataset comes from the Google Bigquery.
    '''

    # Show DataFrame
    data = pd.read_csv('h8dsft_P1G3_Imam_Zarkasie.csv')
    st.dataframe(data)

    # Membuat Pie Plot Patient Death Event
    st.write('#### Pie Plot Patient Death Event')
    fig, ax = plt.subplots(figsize=(5, 6))
    data['DEATH_EVENT'].value_counts().plot(kind='pie', autopct='%1.1f%%', startangle=90, shadow=True)
    plt.title('Pie Plot Patient Death Event')
    plt.axis('equal')  # Sets the pie chart to look like a circle.
    st.pyplot(fig)

    # Create Histogram of serum_creatinine
    st.write('#### Histogram of serum_creatinine')
    fig, ax = plt.subplots(figsize=(8, 5))
    sns.histplot(data['serum_creatinine'], kde=True, bins=30)
    plt.title('Histogram of serum_creatinine')
    st.pyplot(fig)

    # Create Scatter Plot of Age VS Platelets
    st.write('#### Scatter Plot of Age VS Platelets')
    fig, ax = plt.subplots(figsize=(8, 5))
    sns.scatterplot(x='age', y='platelets', data=data)
    plt.title('Scatter Plot of Age VS Platelets')
    st.pyplot(fig)

    # Pie Plot Smoking Patient
    st.write('#### Pie Plot Smoking Patient')
    fig, ax = plt.subplots(figsize=(5, 6))
    data['smoking'].value_counts().plot(kind='pie', autopct='%1.1f%%', startangle=90, shadow=True)
    plt.title('Pie Plot Smoking Patient')
    plt.axis('equal')  # Sets the pie chart to look like a circle.
    st.pyplot(fig)

if __name__ == '__main__':
    run()