EarlyDiabetesDiseasePrediction(G4).py

import streamlit as st
import pandas as pd
import pickle
from sklearn.preprocessing import Binarizer

st.title("Welcome! You are here to see if you are at risk for diabetes. This is the Predictor Tool for Diabetes. Answer the following questions.")


def app():
    option1 = st.selectbox("Age(from 20 years to 65 years.), If between the ages 20 years and 65 years type 'Yes' otherwise select 'No'.", ('Yes', 'No'))
    
    option2 = st.selectbox('Gender',('Male', 'Female'))
    
    option3 = st.selectbox('Polyuria is difficulty urinating',('Yes', 'No'))
    
    option4 = st.selectbox('Polydispia is excessive thirst',('Yes', 'No'))
    
    option5 = st.selectbox('Sudden weight loss',('Yes', 'No'))

    option6 = st.selectbox('Weakness',('Yes', 'No'))

    option7 = st.selectbox('Polyphagia is feeling extreme insatiable hunger',('Yes', 'No'))

    option8 = st.selectbox('Genital thrush',('Yes', 'No'))

    option9 = st.selectbox('Visual blurring',('Yes', 'No'))

    option10 = st.selectbox('Itching',('Yes', 'No'))

    option11 = st.selectbox('Irritability',('Yes', 'No'))

    option12 = st.selectbox('Delayed healing',('Yes', 'No'))

    option13 = st.selectbox('Partial Paresis is weakening of a muscle or group of muscles',('Yes', 'No'))

    option14 = st.selectbox('Muscle stiffness',('Yes', 'No'))

    option15 = st.selectbox('Alopecia is hair loss',('Yes', 'No'))

    option16 = st.selectbox('Obesity',('Yes', 'No'))
    

    if st.button('Predict.'):
        lookup_dict={"Yes":1,"No":0, "Male":1, "Female":0}
        dict = {'age':[lookup_dict[option1]],
            'gender':[lookup_dict[option2]],
            'polyuria':[lookup_dict[option3]],
            "polydispia":[lookup_dict[option4]],
            "sudden":[lookup_dict[option5]],
            'weak':[lookup_dict[option6]],
            'polyghagia':[lookup_dict[option7]],
            'genital':[lookup_dict[option8]],
            'visual':[lookup_dict[option9]],
            'itch':[lookup_dict[option10]],
            'irit':[lookup_dict[option11]],
            'delay':[lookup_dict[option12]],
            'partial':[lookup_dict[option13]],
            'muscle':[lookup_dict[option14]],
            'alopecia':[lookup_dict[option15]],
            'obesity':[lookup_dict[option16]],
           }
        prediction_df = pd.DataFrame(dict)

        st.write("Your user details are being analyzed. We use data from reputable databases to give you an accurate prediction. Although we are able to use data to predict, it is most important to discuss this with your doctor.")
        st.write(prediction_df)

        with open("RF.pkl", 'rb') as pfile:  
            model_loaded=pickle.load(pfile)
        y_predicted=model_loaded.predict(prediction_df)


        if (y_predicted[0]==1): 
            st.write("Sorry to say that you have a high probility of being a diabetic. Probability of being Positive with Diabetes is shown in column 1.:")
        else:
            st.write("Congratulations! You have low risk factors for being a diabetic. Probability of being Negative with Diabetes is shown in column 0.")
        st.write(model_loaded.predict_proba(prediction_df))

app()