app.py

import joblib
import pandas as pd
import streamlit as st 

model = joblib.load('model.joblib')
unique_values = joblib.load('unique_values.joblib')

unique_Color =  unique_values["Color"]

def main():
    st.title("Colors Prediction")

    with st.form("questionaire"):
        room = st.selectbox("Room", min_value=1, max_value=4)
        partition = st.selectbox("Partitions",min_value=1, max_value=3)
        rows = st.selectbox("Rows",min_value=1, max_value=2)
        columns = st.selectbox("Columns",min_value=1, max_value=2)
        
        
        clicked = st.form_submit_button("Predict Color")
        if clicked:
            result = model.predict(pd.DataFrame({"Room": [room],
                                                 "Partitions": [partition],
                                                 "Rows": [rows],
                                                 "Columns": [columns],
                                                 "Color": [color]}))
          
            predicted_Color = predict_color(result)
           
            st.success('The predicted color is {}'.format(predicted_Color)) 
            
def predict_color(prediction):
    if prediction == 'Red':
        return 'Red'
    elif prediction == 'Blue':
        return 'Blue'
    elif prediction == 'Yellow':
        return 'Yellow'
    else:
        return 'Green'
        
if __name__=='__main__':
    main()