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import joblib
import pandas as pd
import streamlit as st
model = joblib.load("model.joblib")#
unique_values = joblib.load("unique_values.joblib")#
unique_gender = unique_values["gender"]
unique_hypertension = unique_values["hypertension"]
unique_heart_disease = unique_values["heart_disease"]
unique_work_type = unique_values["work_type"]
unique_residence_type = unique_values["Residence_type"]
unique_smoking_status = unique_values["smoking_status"]
def main():
st.title("Stroke Prediction")
with st.form("questionaire"):
gender = st.selectbox("Gender", options=unique_gender)
age = st.slider("Age", min_value=10, max_value=100)
hypertension = st.selectbox("Hypertension", options=unique_hypertension)
heart_disease = st.selectbox("Heart_Disease", options=unique_heart_disease)
work_type = st.selectbox("Work_type", options=unique_work_type)
residence = st.selectbox("Residence", options=unique_residence_type)
glucose_level = st.number_input("Glucose_Level")
bmi = st.number_input("BMI")
smoking = st.selectbox("Smoking", options=unique_smoking_status)
# clicked==True only when the button is clicked
clicked = st.form_submit_button("Predict Stroke")
if clicked:
result=model.predict(pd.DataFrame({"Gender": [gender],
"Age": [age],
"Hypertension": [hypertension],
"Heart_Disease": [heart_disease],
"Work_type": [work_type],
"Residence": [residence],
"Avg_Glucose_Level": [glucose_level],
"BMI": [bmi],
"Smoking": [smoking]}))
# Show prediction
result = 'Yes' if result[0] == 1 else 'No'
st.success("Your predicted Stroke is "+result)
# Run main()
if __name__ == "__main__":
main() |