import gradio as gr
from transformers import pipeline

classifier = pipeline("text-classification", model="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()