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| from transformers import pipeline | |
| import gradio as gr | |
| classifier = pipeline("sentiment-analysis") | |
| def score_text(text): | |
| result = classifier(text)[0] | |
| label = result["label"] | |
| score = result["score"] | |
| return f"Sentiment: {label}. Score: {score}." | |
| app = gr.Interface( | |
| fn=score_text, | |
| inputs=["textbox"], | |
| outputs=["textbox"], | |
| title="Sentiment Analysis App π€πΆπ€", | |
| description="Enter any text to analyse its sentiment using ML. The app returns whether the sentiment is Positive, Neutral, Negative with confidence score." | |
| ) | |
| app.launch() | |