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| from transformers import pipeline | |
| import gradio as gr | |
| # Load sentiment analysis pipeline | |
| sentiment_pipeline = pipeline("sentiment-analysis") | |
| def analyze_sentiment(text): | |
| result = sentiment_pipeline(text)[0] | |
| label = result['label'] | |
| score = result['score'] | |
| # Set emoji based on sentiment | |
| emoji = "🙂" if label == "POSITIVE" else "☹️" | |
| return f"{emoji} {label} ({score:.2f})", score | |
| # Create Gradio interface | |
| interface = gr.Interface( | |
| fn=analyze_sentiment, | |
| inputs="text", | |
| outputs=[gr.Textbox(), gr.Slider(minimum=0, maximum=1, step=0.01)], # New: Confidence bar | |
| title="Sentiment Analyzer", | |
| description="Type a sentence to see if it's Positive or Negative", | |
| ) | |
| # Launch the app | |
| interface.launch() | |