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12 / app.py

Update app.py (#2)

ea1452a verified about 2 years ago

180 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)

	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)