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sec_demo / app.py

Update app.py

ca79d1a almost 2 years ago

183 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)