| import gradio as gr | |
| from transformers import pipeline | |
| def sentiment_analysis(text): | |
| classifier = pipeline('sentiment-analysis') | |
| result = classifier(text) | |
| sentiment = result[0]['label'] | |
| score = result[0]['score'] | |
| return f"Sentiment: {sentiment} (Score: {score:.2f})" | |
| interface = gr.Interface(fn=sentiment_analysis, inputs="text", outputs="text") | |
| interface.launch() |