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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[0]['label'] + " : " + str(out[0]['score'])) # Added str() to convert score to string
else:
st.warning("Please enter some text for sentiment analysis.")
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