Spaces:

pavithrav
/

Demo

Sleeping

Demo / app.py

Create app.py

00aff5e 12 months ago

No virus

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)