NLP / app.py
krishnasai99's picture
Update app.py
ead954e
raw
history blame
201 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)