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import gradio as gr
import pandas as pd
from joblib import load
def cardio(age,gender,ap_hi,ap_lo,cholesterol,gluc,smoke,alco,active,height,weight):
model = load('cardiosight.joblib')
df = pd.DataFrame.from_dict(
{
"age": [age*365],
"gender":[0 if gender=='Male' else 1],
"ap_hi": [ap_hi],
"ap_lo": [ap_lo],
"cholesterol": [cholesterol + 1],
"gluc": [gluc + 1],
"smoke":[1 if smoke=='Yes' else 0],
"alco": [1 if alco=='Yes' else 0],
"active": [1 if active=='Yes' else 0],
"newvalues_height": [height],
"newvalues_weight": [weight],
"New_values_BMI": weight/((height/100)**2),
}
)
pred = model.predict(df)[0]
if pred==1:
predicted="Tiene un riesgo alto de sufrir problemas cardiovasculares"
else:
predicted="Su riesgo de sufrir problemas cardiovasculares es muy bajo. Siga así."
return "Su IMC es de "+str(round(df['New_values_BMI'][0], 2))+'. '+predicted
iface = gr.Interface(
cardio,
[
gr.Slider(1,99,label="Age"),
gr.Dropdown(choices=['Male', 'Female'], label='Gender', value='Female'),
gr.Slider(10,250,label="Diastolic Preassure"),
gr.Slider(10,250,label="Sistolic Preassure"),
gr.Radio(["Normal","High","Very High"],type="index",label="Cholesterol"),
gr.Radio(["Normal","High","Very High"],type="index",label="Glucosa Level"),
gr.Dropdown(choices=['Yes', 'No'], label='Smoke', value='No'),
gr.Dropdown(choices=['Yes', 'No'], label='Alcohol', value='No'),
gr.Dropdown(choices=['Yes', 'No'], label='Active', value='Yes'),
gr.Slider(30,220,label="Height in cm"),
gr.Slider(10,300,label="Weight in Kg"),
],
"text",
examples=[
[20,'Male',110,60,"Normal","Normal",'No','No','Yes',168,60],
[30,'Female',120,70,"High","High",'No','Yes','Yes',143,70],
[40,'Male',130,80,"Very High","Very High",'Yes','Yes','No',185,80],
[50,'Female',140,90,"Normal","High",'Yes','No','No',165,90],
[60,'Male',150,100,"High","Very High",'No','No','Yes',175,100],
[70,'Female',160,90,"Very High","Normal",'Yes','Yes','No',185,110],
],
title = 'Calculadora de Riesgo Cardiovascular mediante Inteligencia Artificial',
description = 'Duplicación del proyecto de CARDIOSIGHT. He cambiado los botones tipo check por dropdown y calculado el IMC a partir de la altura y el peso. Más información: https://saturdays.ai/2022/03/16/cardiosight-machine-learning-para-calcular-riesgo-cardiovascular/'
)
iface.launch() |