demo-app / app.py
rxl7906's picture
Create app.py
6d69e8c
raw
history blame
183 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)