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demo_app / app.py

Update app.py

cccaa8c verified 8 months ago

175 Bytes

	import streamlit as st
	from transformers import pipline
	pipe = pipeline('sentiment-analysis')
	text = st.text_area('enter some text')
	if text:
	out = pipe(text)
	st.json(out)