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| import gradio as gr | |
| from transformers import pipeline | |
| classifier = pipeline( | |
| "sentiment-analysis", | |
| model="distilbert-base-uncased-finetuned-sst-2-english" | |
| ) | |
| def analyze_sentiment(text): | |
| result = classifier(text)[0] | |
| return f"Sentiment: {result['label']}\nConfidence: {result['score']:.2%}" | |
| app = gr.Interface( | |
| fn=analyze_sentiment, | |
| inputs=gr.Textbox(lines=4, placeholder="Enter text here..."), | |
| outputs=gr.Textbox(), | |
| title="Sentiment Analysis App", | |
| description="Analyze whether a text is Positive or Negative." | |
| ) | |
| app.launch() |