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Demo / app.py

Update app.py

cb08f5d about 1 year ago

177 Bytes

	import streamlit as st
	from transformers import pipeline
	pipe=pipeline('sentiment-analysis')
	text=st.text_area('enter your text')

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