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| from transformers import pipeline | |
| import gradio as gr | |
| classifier = pipeline("sentiment-analysis") | |
| def score_text(text: str): | |
| 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€ππ ", | |
| description="### Enter any text to instantly analyze its sentiment using a state-of-the-art machine learning model. The app will determine whether the sentiment is positive, negative, or neutral, and display the confidence score for the prediction." | |
| ) | |
| app.launch() |