embedding / app.py
geneweng's picture
Update app.py
6368ceb
raw
history blame
166 Bytes
import streamlit as st
from transformers import pipeline
pipe = pipeline('NER')
text = st.text_area('Enter some question:')
if text:
out = pipe(text)
st.json(out)