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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()
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