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_Room =  unique_values["Room"]
unique_Partitions =  unique_values["Partitions"]
unique_Rows =  unique_values["Rows"]
unique_Columns=  unique_values["Columns"]
unique_Color =  unique_values["Color"]

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

    with st.form("questionaire"):
        color = st.selectbox("Color", unique_color)
        
        clicked = st.form_submit_button("Predict Color")
        if clicked:
            result=model.predict(pd.DataFrame({"Room": [Room],
                                               "Partitions": [Partition],
                                               "Rows": [Rows],
                                               "Columns": [Columns],
                                               "Color": [Color]}))
        
            if result == 'Red':, elif result == 'Blue':, elif result == 'Yellow':, and else:
            #result = 'Red' = Red if result[0] == 1 else 'Blue'
            st.success('The predicted color is {}'.format(result))

if __name__=='__main__':
    main()