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| import gradio as gr | |
| from transformers import pipeline | |
| import os | |
| token = os.environ.get("HF_TOKEN") | |
| classifier = pipeline(model="Yanni8/star-predictor", token=token) | |
| def predict(text): | |
| labels = classifier(text, top_k=5) | |
| return {label['label']: label['score'] for label in labels} | |
| iface = gr.Interface( | |
| fn=predict, | |
| inputs=gr.Textbox(lines=7, label="Input Text"), | |
| outputs=gr.Label(num_top_classes=3, label="Predicted Star"), | |
| title="Star Predictor", | |
| description="Predict the star rating of a review\n\n Try for example: 'This is a great product!'", | |
| ) | |
| iface.launch() |