DemoStreamlit / app.py
kimi0230's picture
chore: test
cf89611
raw
history blame contribute delete
186 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)