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sada / app.py

Update app.py

ec032b5 over 1 year ago

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178 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)