demospace / app.py
CogwiseAI's picture
Update app.py
8ac4f9b
raw
history blame
179 Bytes
import streamlit as st
from transformers import pipeline
pipe = pipeline('sentiment-analysis')
text = st.text_area('Enter')
if text:
out = pipe('text')
st.json(out)