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| import streamlit as st | |
| from transformers import pipeline | |
| # Load a pre-trained sentiment-analysis pipeline | |
| classifier = pipeline("sentiment-analysis") | |
| # Streamlit app | |
| st.title("Sentiment Analysis with Hugging Face Transformers") | |
| st.write("Enter text below to analyze sentiment:") | |
| # Text input | |
| user_input = st.text_area("Text Input", "Enter your text here...") | |
| if st.button("Analyze"): | |
| # Perform sentiment analysis | |
| results = classifier(user_input) | |
| sentiment = results[0]['label'] | |
| score = results[0]['score'] | |
| # Display results | |
| st.write(f"Sentiment: {sentiment}") | |
| st.write(f"Confidence Score: {score:.2f}") |