app.py

import streamlit as st

from transformers import pipeline


classifier = pipeline("zero-shot-classification",
                      model="valhalla/distilbart-mnli-12-1")

with st.form('inputs'):
    input_text = st.text_area("Input text")
    input_label = st.text_input("Labels", placeholder="support, help, important")
    submit_button = st.form_submit_button(label='Submit')

if submit_button:

    labels = list(l.strip() for l in input_label.split(','))
    pred = classifier(input_text, labels, multi_class=True)
    
    out = f"Top predicted labels are {', '.join(p for p in pred['labels'][0:2])}"

    st.success(out)

    # st.markdown(pred)