| import streamlit as st | |
| from transformers import pipeline | |
| # Title and Subtitle | |
| st.title('Sentiment Analysis App') | |
| st.subheader('Enter text to analyze sentiment') | |
| # Text input box | |
| text = st.text_area('Enter your text') | |
| if text: | |
| # Analyze sentiment using the model | |
| pipe = pipeline(model="dancingninjas/sentiment-analysis-nlp") | |
| results = pipe(text) | |
| # Determine sentiment label | |
| sentiment_label = "Negative" if results[0]['label'] == 'LABEL_1' else "Positive" | |
| # Display sentiment label and probability | |
| st.subheader('Sentiment Analysis Result:') | |
| st.write(f'Sentiment: {sentiment_label}') | |
| st.write(f'Probability: {results[0]["score"]:.4f}') | |