import gradio as gr

title = "Sentiment Analyzer 3 -- BERT-Base-Multilingual-Uncased-Sentiment"
description = "Input text and submit. The machine will categorize the text according to star ratings with 1 star representing negative sentiment and five stars representing positive sentiment. The machine also presents a percentage prediction."
examples = [["This is the best coffee ever!"], ["This is the worst town I've ever been to!"]]

gr.Interface.load("huggingface/nlptown/bert-base-multilingual-uncased-sentiment", title=title, description=description, examples=examples).launch()