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sec_demo

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sec_demo / app.py

create app.py

9182652 about 2 years ago

181 Bytes

	from 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)