app.py

import streamlit as st
from transformers import pipeline

classifier = pipeline("sentiment-analysis", model="maurosm/bert_classification_model")
st.markdown('''
Type an utterance that corresponds to one of the ten intents listed below:
* change_shipping_address
* complaint
* contact_customer_service
* create_account
* delete_account
* edit_account
* get_invoice
* get_refund
* payment_issue
* registration_problems

For example you could start with the utterance: "I would like to create a new account"  
The expected intent would be *create_account*.''')
text = st.text_area('Type your own utterance below')

if text:
    out = classifier(text)
    st.json(out)