import streamlit as st
import pandas as pd

#st.title("📘SBS mapper")
#st.write("Map internal descriptions to SBS codes in the below chapters* (work in progress)")
#st.image("images/SBS_Chapter_Index.png", use_container_width=True) 
st.write("Saudi Billing System v2.0 Chapter Index: select topic")
df_chapters = pd.read_csv("SBS_V2_Chapter_Index.csv")
df_chapters.iloc[25] = {"Chapter": "ALL", "Chapter title": "ALL TOPICS (will take more time)"}
st.dataframe(df_chapters)

st.subheader("* Demo currently limited to Chapter 20: Imaging services")

#'Procedures on nervous system'
#'Procedures on endocrine system'
#'Procedures on eye and adnexa'
#'Procedures on ear and mastoid process'
#'Procedures on nose, mouth and pharynx'
#'Dental services'
#'Procedures on respiratory system'
#'Procedures on cardiovascular system'
#'Procedures on blood and blood-forming organs'
#'Procedures on digestive system'
#'Procedures on urinary system'
#'Procedures on male genital organs'
#'Gynaecological procedures'
#'Obstetric procedures'
#'Procedures on musculoskeletal system'
#'Dermatological and plastic procedures'
#'Procedures on breast'
#'Radiation oncology procedures'
#'Non-invasive, cognitive and other interventions, not elsewhere classified'
#'Imaging services'
#'Laboratory and Pathology Services'
#'Ambulance and Transport Services'
#'KSA Service Codes'
#'Emergency Medical Services (EMS)'
#'Mortuary Services'