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| import gradio as gr | |
| from transformers import pipeline | |
| # Load sentiment analysis pipeline | |
| classifier = pipeline("sentiment-analysis") | |
| # Gradio interface function | |
| def analyze_sentiment(text): | |
| result = classifier(text) | |
| sentiment_label = result[0]['label'] | |
| confidence_score = result[0]['score'] | |
| return f"Sentiment: {sentiment_label}, Confidence: {confidence_score:.4f}" | |
| # Create Gradio interface | |
| iface = gr.Interface( | |
| fn=analyze_sentiment, | |
| inputs=gr.Textbox(), | |
| outputs=gr.Textbox(), | |
| live=True, | |
| title="Sentiment Analysis App ππ‘ππ", | |
| description="Enter a text to analyze its sentiment." | |
| ) | |
| # Launch the Gradio app | |
| iface.launch(share=True) | |