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"):
        room = st.selectbox("Room", unique_Room)
        partition = st.selectbox("Partitions", unique_Partitions)
        rows = st.selectbox("Rows", unique_Rows)
        columns = st.selectbox("Columns", unique_Columns)
        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]}))
            predicted_color = predict_color(result)
            #result = 'Red' = Red if result[0] == 1 else 'Blue'
            st.success('The predicted color is {}'.format(result))
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()