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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_type = st.selectbox("Residence_type", options=unique_residence_type) | |
glucose_level = st.slider("Glucose_Level", min_value=0, max_value=300) | |
bmi = st.slider("BMI", min_value=0, max_value=50) | |
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], | |
"Resident_type": [Residence_type], | |
"avg_glucose_level": [glucose_level], | |
"bmi": [bmi], | |
"smoking_status": [smoking]})) | |
# Show prediction | |
result = 'Yes' if result[0] == 1 else 'No' | |
st.success("Your predicted Stroke is "+result) | |
# Run main() | |
if __name__ == "__main__": | |
main() |