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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() |