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embedding / app.py

Update app.py

dfe37f6 over 3 years ago

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)