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# -*- coding: utf-8 -*-
"""
Created on Fri Mar 31 17:45:36 2023
@author: Gaspar Avit Ferrero
"""
import os
import streamlit as st
from htbuilder import HtmlElement, div, hr, a, p, styles
from htbuilder.units import percent, px
from catboost import CatBoostClassifier
###############################
## ------- FUNCTIONS ------- ##
###############################
def link(link, text, **style):
return a(_href=link, _target="_blank", style=styles(**style))(text)
def layout(*args):
style = """
<style>
# MainMenu {visibility: hidden;}
footer {visibility: hidden;}
.stApp { bottom: 105px; }
</style>
"""
style_div = styles(
position="fixed",
left=0,
bottom=0,
margin=px(0, 0, 0, 0),
width=percent(100),
color="black",
text_align="center",
height="auto",
opacity=1
)
style_hr = styles(
display="block",
margin=px(8, 8, "auto", "auto"),
border_style="inset",
border_width=px(0)
)
body = p()
foot = div(
style=style_div
)(
hr(
style=style_hr
),
body
)
st.markdown(style, unsafe_allow_html=True)
for arg in args:
if isinstance(arg, str):
body(arg)
elif isinstance(arg, HtmlElement):
body(arg)
st.markdown(str(foot), unsafe_allow_html=True)
def footer():
myargs = [
"Made with ❤️ by ",
link("https://www.linkedin.com/in/gaspar-avit/", "Gaspar Avit"),
]
layout(*myargs)
def update_prediction():
"""Callback to automatically update prediction if button has already been
clicked"""
if is_clicked:
launch_prediction()
def input_layout():
input_expander = st.expander('Input parameters', True)
with input_expander:
# Row 1
col_age, col_sex = st.columns(2)
col_age = st.slider('Age', 18, 75, on_change=update_prediction())
col_sex = st.radio('Sex', ['Female', 'Male'],
on_change=update_prediction())
st.write('div.row-widget.stRadio > div{flex-direction: row \
justify-content: center}', unsafe_allow_html=True)
# Row 2
col_height, col_weight = st.columns(2)
col_height = st.slider(
'Height', 140, 200, on_change=update_prediction())
col_weight = st.slider(
'Weight', 40, 140, on_change=update_prediction())
# Row 3
col_ap_hi, col_ap_lo = st.columns(2)
col_ap_hi = st.slider(
'AP Hi', 90, 200, on_change=update_prediction())
col_ap_lo = st.slider(
'AP Lo', 50, 120, on_change=update_prediction())
###############################
## --------- MAIN ---------- ##
###############################
if __name__ == "__main__":
## --- Page config ------------ ##
# Set page title
st.title("""
Cardiovascular Disease predictor
#### This app aims to give a scoring of how probable is that an individual \
would suffer from a cardiovascular disease given its physical \
characteristics
#### Just enter your info and get a prediction.
""")
# Set page footer
footer()
## --------------------------- ##
# Load classification model
model = CatBoostClassifier() # parameters not required.
for root, dirs, files in os.walk("./"):
for file in files:
if file.endswith(".cbm"):
model.load_model(os.path.join(root, file))
# Define inputs
input_layout() |