app.py

import streamlit as st
from transformers import pipeline

@st.cache(allow_output_mutation=True)
def load_model():
    return pipeline("sentiment-analysis")

nlp = load_model()

user_text = st.text_area(label="Input your text here!")

if user_text:
    predictions = nlp(user_text)
    st.write(predictions)