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import gradio as gr | |
title = "Transformer (NMT)" | |
description = "Gradio demo for Transformer (NMT). To use it, simply add your text, or click one of the examples to load them. Read more at the links below." | |
article = """<p style='text-align: center'><a href='https://arxiv.org/abs/1806.00187'>Scaling Neural Machine Translation</a> | <a href='https://github.com/pytorch/fairseq/'>Github Repo</a></p>""" | |
examples = [ | |
["Hello world!"], | |
["PyTorch Hub is a pre-trained model repository designed to facilitate research reproducibility."] | |
] | |
gr.Interface.load("huggingface/facebook/wmt19-en-de", title=title, description=description, article=article, examples=examples).launch() |