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| import gradio as gr | |
| from transformers import pipeline | |
| # Load the sentiment analysis model | |
| sentiment = pipeline("sentiment-analysis") | |
| def get_sentiment(input_text): | |
| result = sentiment(input_text) | |
| label = result[0]['label'] | |
| score = result[0]['score'] | |
| return f"Sentiment: {label}, Score: {score:.4f}" | |
| iface = gr.Interface( | |
| fn=get_sentiment, | |
| inputs="text", | |
| outputs="text", | |
| title="Sentiment Analysis with Transformers", | |
| description="Analyze sentiment (negative/positive) of input text." | |
| ) | |
| iface.launch(inline=False) |