app.py

import streamlit as st
from joblib import load

def run():
    bug_clf = load('bug_clf.joblib') # load trained model
    st.sidebar.info('You can check Firefox bug type online!')
    add_selectbox = st.sidebar.selectbox("How would you like to predict?", ("Online", "+"))
    st.title("Predicting Firefox bugs type")
    st.header('This application is predicting the type of firefox bug.')
    if add_selectbox == "Online":
        bug = [st.text_area('Enter bug text')]
        output = ""
        
        if st.button("Predict") and len(bug)>0:
            output = bug_clf.predict(bug)
            output = str(output[0]) # since its a list, get the 1st item
            st.success(f"The bug type is {output}")
            st.balloons()
    else:
        st.success('More features are comming soon!')

if __name__ == "__main__":
    run()