app.py

import pandas as pd
import streamlit as st
import numpy as np
import pickle
import warnings
warnings.filterwarnings("ignore")


from absenteeism_module import *


def Input_Output():
    data = st.file_uploader("Please Upload Your File Here", type={"csv", "txt"})
    if data is not None:
        df = pd.read_csv(data)
        st.write(df)
        model = absenteeism_model('model', 'scaler')

        model.load_and_clean_data('Absenteeism_new_data.csv')

    result = ""
    if st.button("Click here to Predict"):
        result = model.predicted_outputs()
        st.balloons()     
    st.success('The output is as follows: ')
    st.write(result)


if __name__ ==  '__main__':
    Input_Output()