| 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() |