| import streamlit as st | |
| from transformers import pipeline | |
| # Initialize the sentiment analysis pipeline | |
| pipe = pipeline('sentiment-analysis') | |
| # Create a text area in the Streamlit app for user input | |
| text = st.text_area('Enter some Text') | |
| # If the user has entered text, perform sentiment analysis and display the results | |
| if text: | |
| out = pipe(text) | |
| st.json(out) | |