# StreamlitApp.py
# import the library 
import streamlit as st 

# add title to your app 
st.title ("this is the app title") 
st.header("this is the markdown") 
st.markdown("this is the header") 
st.subheader("this is the subheader") 
st.caption("this is the caption")

import streamlit as st
import plotly.graph_objects as go
import pandas as pd

st.title("Revit Model Health Check")
# Create Radio Buttons
options = st.radio(label = 'CONTROL', options = ['Family Name','Material Name','Assembly Code','Room Status'])
st.write('<style>div.row-widget.stRadio > div{flex-direction:row;}</style>', unsafe_allow_html=True)

def gauge_chart(value, title):
    if value <= 30:
        color = "red"
    elif value <= 70:
        color = "yellow"
    else:
        color = "green"

    fig = go.Figure(go.Indicator(
        mode="gauge+number",
        value=value,
        title={'text': title},
        gauge={
            'axis': {'range': [0, 100]},
            'bar': {'color': color},
            'bgcolor': "white",
            'borderwidth': 2,
            'bordercolor': "gray",
            'steps': [
                {'range': [0, 30], 'color': 'white'},
                {'range': [30, 70], 'color': 'white'},
                {'range': [70, 100], 'color': 'white'}
            ],
            'threshold': {
                'line': {'color': "black", 'width': 4},
                'thickness': 0.75,
                'value': 80
            }
        }
    ))

    return fig

# MODEL DATA EXTRACTION FROM EXCEL
...
...

# creating gauge graph
#fig = gauge_chart(revit_puan, "Model Health")
#st.plotly_chart(fig)


def familyname(dataframe):

    st.markdown(""" <style> .font {
        font-size:30px ; font-family: 'Black'; color: #FF9633;} 
        </style> """, unsafe_allow_html=True)

    st.markdown('<p class="font">RESULT</p>', unsafe_allow_html=True)
  
    fig = gauge_chart(P_familyname, "Model Health")
    st.plotly_chart(fig)

def materialname(dataframe):

    st.markdown(""" <style> .font {
        font-size:30px ; font-family: 'Black'; color: #FF9633;} 
        </style> """, unsafe_allow_html=True)

    st.markdown('<p class="font">RESULT</p>', unsafe_allow_html=True)

    fig = gauge_chart(P_materialname, "Model Health")
    st.plotly_chart(fig)

def assemblycode(dataframe):

    st.markdown(""" <style> .font {
        font-size:30px ; font-family: 'Black'; color: #FF9633;} 
        </style> """, unsafe_allow_html=True)

    st.markdown('<p class="font">RESULT</p>', unsafe_allow_html=True)

    fig = gauge_chart(P_assemblycode, "Model Health")
    st.plotly_chart(fig)

def RoomStatus(dataframe):

    st.markdown(""" <style> .font {
        font-size:30px ; font-family: 'Black'; color: #FF9633;} 
        </style> """, unsafe_allow_html=True)

    st.markdown('<p class="font">RESULT</p>', unsafe_allow_html=True)

    fig = gauge_chart(P_RoomStatus, "Model Health")
    st.plotly_chart(fig)

....
....

if options == "Family Name":
    familyname(P_familyname)
elif options == "Material Name":
    materialname(P_materialname)
elif options == "Assembly Code":
    assemblycode(P_assemblycode)
elif options == "Room Status":
    RoomStatus(P_RoomStatus)
...

...

df = pd.read_excel("ModelData.xlsx") 
st.write(df)
...
...