app.py

import gradio as gr

classifier = pipeline("text-classification", model="huggingface/juliensimon/distilbert-amazon-shoe-reviews")


def predict(review):
    prediction = classifier(review)
    print(prediction)
    stars = prediction[0]["label"]
    stars = (int)(stars.split("_")[1]) + 1
    score = 100 * prediction[0]["score"]
    return "{} {:.0f}%".format("\U00002B50" * stars, score)


iface = gr.Interface(fn=predict, inputs="text", outputs="text")
iface.launch()