app.py

import streamlit as st
from transformers import pipeline

if "classifier" not in st.session_state:
    st.session_state["classifier"] = pipeline("text-classification", "Intel/polite-guard")

st.text_input("Your text here:", key="name")
# st.session_state.name

if "result" not in st.session_state:
    st.session_state["result"] = "No result yet"

def click_button():
    output = st.session_state["classifier"](st.session_state.name)
    print(output)
    st.session_state["result"] = output[0]["label"]

st.button('Run', on_click=click_button)

text1 = st.text_area('Result: ', st.session_state["result"])