import streamlit as st
import pandas as pd
import plotly.express as px

# Define the data
data = pd.DataFrame({
    'Illness': ['Anxiety', 'Depression', 'Diabetes', 'Heart Disease'],
    'Cost (Billion USD)': [42, 210, 327, 219]
})

# Define the sunburst plot
fig = px.sunburst(
    data,
    path=['Illness'],
    values='Cost (Billion USD)',
    color='Cost (Billion USD)',
    color_continuous_scale='reds'
)

# Define the Streamlit app
st.title('Cost of Illnesses in Billion USD per Year')
st.plotly_chart(fig, use_container_width=True)



# Define the data
data = pd.DataFrame({
    'Illness': ['Anxiety', 'Depression', 'Diabetes', 'Heart Disease'],
    'CPT Code': ['90834, 90837, 90847', '90785, 90832, 90834', '82947, 82948, 82950', '93000, 93010, 93015'],
    'Emoji': ['😰', '😔', '🩸', '💔']
})

# Define the Streamlit app
st.title('CPT Codes for Illnesses')
st.table(data)