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import streamlit as st
from transformers import pipeline
sentiment_pipeline = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis")
st.title('Sentiment Analysis App')
user_input = st.text_area('Enter text:')
if user_input:
result = sentiment_pipeline(user_input)[0]
st.write(f"**Sentiment:** {result['label']}")
st.write(f"**Confidence:** {result['score']:.2f}")
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