| import streamlit as st | |
| from transformers import pipeline | |
| sentiment_pipeline = pipeline("sentiment-analysis") | |
| st.title("Sentiment Analysis") | |
| st.write("Welcome sentiment analysis Spaces' built using Streamlit and Hugging Face's Transformers library. The application allows users to input a sentence and receive a real-time sentiment analysis result, along with a confidence score.") | |
| user_input = st.text_input("Write a sentence please:") | |
| if user_input: | |
| result = sentiment_pipeline(user_input) | |
| sentiment = result[0]["label"] | |
| confidence = result[0]["score"] | |
| st.write(f"Sentiment: {sentiment}") | |
| st.write(f"Confidence: {confidence:.2f}") | |