app.py

import joblib
import pandas as pd
import streamlit as st

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

def main():
    st.title("Predict Quality of Red Wine")

    with st.form("questionaire"):
        fixed_acidity = st.slider("Fixed acidity",min_value=0.00,max_value=50.00)
        volatile_acidity = st.slider("Volatile acidity",min_value=0.00,max_value=5.00)
        citric_acid = st.slider("Citric acid",min_value=0.00,max_value=1.00)
        chlorides= st.slider("Chlorides",min_value=0.00,max_value=100.00)
        total_sulfur_dioxide = st.slider("Total sulfur dioxide",min_value=0.00,max_value=500.00)
        density = st.slider("Density",min_value=0.00,max_value=5.00)
        sulphates = st.slider("Sulphates",min_value=0.00,max_value=5.00)
        alcohol = st.slider("Alcohol",min_value=0.00,max_value=50.00)

        clicked = st.form_submit_button("Predict Quality of Red Wine")
        if clicked:
            result=model.predict(pd.DataFrame({"fixed_acidity": [fixed_acidity],
                                               "volatile_acidity": [volatile_acidity],
                                               "citric_acid": [citric_acid],
                                               "chlorides": [chlorides],
                                               "total_sulfur_dioxide": [total_sulfur_dioxide],
                                               "density": [density],
                                               "sulphates": [sulphates],
                                               "alcohol": [alcohol] }))
            st.success("Your predicted quality is "+str(result[0]))

# Run main()
if __name__ == "__main__":
    main()