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demo-app / app.py

Create app.py

7c1bcc4 about 2 years ago

181 Bytes

	import streamlit as st
	from transformers import pipline

	pipe = pipline('sentiment-analysis')
	text = st.text_area('enter some text!')

	if text:
	out = pipe(text)
	st.json(out)