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5af097e d90a861 5af097e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | import joblib
import pandas as pd
import streamlit as st
model = joblib.load('dia1.joblib')
def main():
st.title("💀Predicting Diabetes💀")
with st.form("questionaire"):
Pregnancies = st.slider('Pregnancy(times)',min_value=0,max_value=10)
Age = st.slider('Age',min_value=0,max_value=100)
Glucose = st.number_input('Glucose(mg/dl)')
BloodPressure = st.number_input('BloodPressure(mm Hg)')
SkinThickness = st.number_input('SkinThickness(mm)')
Insulin = st.number_input('Insulin(mu U/ml)')
Weight = st.number_input('Weight(kg)')
Height = st.number_input('Height(cm)')
# clicked==True only when the button is clicked
clicked = st.form_submit_button("Predict Diabetes")
if clicked:
result=model.predict(pd.DataFrame({"Pregnancies": [Pregnancies],
"Glucose": [Glucose],
"BloodPressure": [BloodPressure],
"SkinThickness": [SkinThickness],
"Insulin": [Insulin],
"BMI": [Weight / (Height/100)**2],
"Age": [Age]}))
result2=model.predict_proba(pd.DataFrame({"Pregnancies": [Pregnancies],
"Glucose": [Glucose],
"BloodPressure": [BloodPressure],
"SkinThickness": [SkinThickness],
"Insulin": [Insulin],
"BMI": [Weight / (Height/100)**2],
"Age": [Age]}))
# Show prediction
#sen = 'You have diabetes' if result[0]==1 else "You don't have diabetes"
if result[0]==1:
sen = (f'You have diabetes with a probability = {round(result2[0][1]*100,2)}%')
else :
sen = (f'You do not have diabetes with a probability = {round(result2[0][0]*100,2)}%')
st.success(sen)
# Run main()
if __name__ == '__main__':
main()
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