demo-app / app.py
quakumei's picture
Create app.py
383d2e0
raw
history blame
182 Bytes
import streamlt 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)