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()