demo_app / app.py
hiba9's picture
Create app.py
bdf26e5 verified
raw
history blame
169 Bytes
import streamlit as st
from transformers import pipeline
pipe=pipeline("sentiment-analysis")
text=st.text-area("enter some text")
if text
out=pipe(text)
st.json(out)