text-sentiment / app.py
sooft's picture
Update app.py
987790a
raw
history blame contribute delete
187 Bytes
import streamlit as st
from transformers import pipeline
pipe = pipeline('sentiment-analysis')
text = st.text_area("enter some text here")
if text:
out = pipe(text)
st.json(out)