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}") | |