# -*- coding: utf-8 -*-
"""Untitled15.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1LkYVMK8AOEpUsR_FhEmhaVir9hAQSBsg
"""

import joblib
import pandas as pd
import streamlit as st
smoking_status = {'formerly smoked': 1,
            'never smoked	': 2,
            'smokes': 3,
            'Unknown': 4,
            }

model = joblib.load('model.joblib')
unique_values = joblib.load('unique_values.joblib')
unique_gender = unique_values["gender"]
unique_ever_married = unique_values["ever_married"]
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("Stoke Analysis")
  with st.form("questionaire"):
      age = st.slider("age", min_value=0, max_value=100)
      gender = st.selectbox("gender", unique_gender)
      hypertension = st.slider("hypertension", min_value=0, max_value=1)
      heart_disease = st.slider("heart_disease", min_value=0, max_value=1)
      ever_married = st.selectbox("ever_married", unique_ever_married)
      work_type = st.selectbox("work_type", unique_work_type)
      Residence_type = st.selectbox("Residence_type", unique_Residence_type)
      avg_glucose_level = st.slider("avg_glucose_level", min_value=0, max_value=300)
      bmi = st.slider("bmi", min_value=0, max_value=100)
      smoking_status = st.selectbox("smoking_status", unique_smoking_status)

      clicked = st.form_submit_button("Predict stroke")
      if clicked:
        result=model.predict(pd.DataFrame({"age": [age],
                                      "gender": [gender],
                                      "hypertension": [hypertension],
                                      "heart_disease": [heart_disease],
                                      "ever_married": [ever_married],
                                      "work_type": [work_type],
                                      "Residence_type": [Residence_type],
                                      "avg_glucose_level": [avg_glucose_level],
                                      "bmi": [bmi],
                                      "smoking_status":[smoking_status]}))
        result = '1' if result[0] == 1 else '0'
        st.success('The predicted stroke is {}'.format(result))
if __name__=='__main__':
  main()