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gaspar-avit
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Parent(s):
ca58ff4
Upload app.py
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app.py
ADDED
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# -*- coding: utf-8 -*-
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"""
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Created on Fri Mar 31 17:45:36 2023
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@author: Gaspar Avit Ferrero
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"""
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import streamlit as st
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from htbuilder import HtmlElement, div, hr, a, p, styles
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from htbuilder.units import percent, px
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from catboost import CatBoostClassifier
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###############################
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## ------- FUNCTIONS ------- ##
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###############################
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def link(link, text, **style):
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return a(_href=link, _target="_blank", style=styles(**style))(text)
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def layout(*args):
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style = """
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<style>
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# MainMenu {visibility: hidden;}
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footer {visibility: hidden;}
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.stApp { bottom: 105px; }
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</style>
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"""
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style_div = styles(
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position="fixed",
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left=0,
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bottom=0,
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margin=px(0, 0, 0, 0),
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width=percent(100),
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color="black",
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text_align="center",
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height="auto",
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opacity=1
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)
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style_hr = styles(
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display="block",
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margin=px(8, 8, "auto", "auto"),
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border_style="inset",
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border_width=px(0)
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)
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body = p()
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foot = div(
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style=style_div
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)(
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hr(
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style=style_hr
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),
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body
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)
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st.markdown(style, unsafe_allow_html=True)
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for arg in args:
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if isinstance(arg, str):
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body(arg)
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elif isinstance(arg, HtmlElement):
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body(arg)
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st.markdown(str(foot), unsafe_allow_html=True)
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def footer():
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myargs = [
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"Made with ❤️ by ",
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link("https://www.linkedin.com/in/gaspar-avit/", "Gaspar Avit"),
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]
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layout(*myargs)
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def update_prediction():
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"""Callback to automatically update prediction if button has already been
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clicked"""
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if is_clicked:
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launch_prediction()
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def input_layout():
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input_expander = st.expander('Input parameters', True)
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with input_expander:
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# Row 1
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col_age, col_sex = st.columns(2)
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col_age = st.slider('Age', 18, 75, on_change=update_prediction())
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col_sex = st.radio('Sex', ['Female', 'Male'],
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on_change=update_prediction())
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st.write(‘div.row-widget.stRadio > div{flex-direction: row
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justify-content: center}’,
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unsafe_allow_html=True)
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# Row 2
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col_height, col_weight = st.columns(2)
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col_height = st.slider(
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'Height', 140, 200, on_change=update_prediction())
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col_weight = st.slider(
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'Weight', 40, 140, on_change=update_prediction())
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# Row 3
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col_ap_hi, col_ap_lo = st.columns(2)
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col_ap_hi = st.slider(
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'AP Hi', 90, 200, on_change=update_prediction())
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col_ap_lo = st.slider(
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'AP Lo', 50, 120, on_change=update_prediction())
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###############################
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## --------- MAIN ---------- ##
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###############################
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if __name__ == "__main__":
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# Initialize image variable
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poster = None
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## --- Page config ------------ ##
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# Set page title
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st.title("""
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Cardiovascular Disease predictor
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#### This app aims to give a scoring of how probable is that an individual \
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would suffer from a cardiovascular disease given its physical \
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characteristics
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#### Just enter your info and get a prediction.
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""")
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# Set page footer
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footer()
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# Load classification model
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model = CatBoostClassifier() # parameters not required.
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model.load_model('./train/model.cbm')
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# Define inputs
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input_layout()
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