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import joblib
import pandas as pd
import streamlit as st
ANAE_DIC = {'NO': 0, 'YES': 1}
DIA_DIC = {'NO': 0, 'YES': 1}
HIGHBLOOD_DIC = {'NO': 0, 'YES': 1}
SMOKE_DIC = {'NO': 0, 'YES': 1}
DEATH_DIC = {'NO': 0, 'YES': 1}
model = joblib.load('model (1).joblib')
unique_values = joblib.load('unique_values (1).joblib')
unique_age = unique_values["age"]
unique_anaemia = unique_values["anaemia"]
unique_creatinine = unique_values["creatinine_phosphokinase"]
unique_diabetes = unique_values["diabetes"]
unique_ejection = unique_values["ejection_fraction"]
unique_high_blood = unique_values["high_blood_pressure"]
unique_platelets = unique_values["platelets"]
unique_serum_creatinine = unique_values["serum_creatinine"]
unique_serum_sodium = unique_values["serum_sodium"]
unique_sex = unique_values["sex"]
unique_smoking = unique_values["smoking"]
unique_time = unique_values["time"]
def main():
st.title("Adult Income Analysis")
with st.form("questionaire"):
age = st.slider("Age", min_value=10, max_value=100)
anaemia = st.selectbox("Anaemia", unique_anaemia)
creatinine = st.slider("Creatinine", min_value=10, max_value=10000)
diabetes = st.selectbox("Diabetes", unique_diabetes)
ejection = st.slider("Ejection(Percent)", min_value=1, max_value=100)
high_blood = st.selectbox("High blood pressure", unique_high_blood)
platelets = st.slider("Platelets", min_value=10000, max_value=1000000)
serum_creatinine = st.slider("Serum creatinine", min_value=0, max_value=10)
sodium = st.slider("Serum Sodium", min_value=100, max_value=200)
sex = st.selectbox("Sex", unique_sex)
smoking = st.selectbox("Smoke", unique_smoking)
time = st.slider("Time", min_value=10, max_value=100)
clicked = st.form_submit_button("Predict income")
if clicked:
result=model.predict(pd.DataFrame({"age": [age],
"anaemia": [ANAE_DIC[anaemia]],
"creatinine": [creatinine],
"diabetes": [DIA_DIC[diabetes]],
"ejection": [ejection],
"high_blood": [HIGHBLOOD_DIC[high_blood]],
"platelets": [platelets],
"serum_creatinine": [serum_creatinine],
"serum_sodium": [sodium],
"sex": [sex],
"smoking": [SMOKE_DIC[smoking]],
"time": [time]}))
result = 'No' if result[0] == 1 else 'Yes'
st.success('The predicted Death event is {}'.format(result))
if __name__=='__main__':
main()
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