import gradio as gr
from gradio import mix

title = "GPT2"
description = "Gradio Demo for OpenAI GPT2. 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://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf' target='_blank'>Language Models are Unsupervised Multitask Learners</a></p>"

examples = [
    ['Paris is the capital of']
]

io1 = gr.Interface.load("huggingface/gpt2", inputs=gr.inputs.Textbox(lines=5, label="Input Text"),title=title,description=description,article=article, examples=examples)

io2 = gr.Interface.load("huggingface/gpt2-large", inputs=gr.inputs.Textbox(lines=5, label="Input Text"),title=title,description=description,article=article, examples=examples)

mix.Parallel(io1, io2).launch(enable_queue=True)