import gradio as gr

title = "GPT"
description = "Gradio Demo for OpenAI GPT. 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://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf' target='_blank'>Improving Language Understanding by Generative Pre-Training</a></p>"

examples = [
    ['Paris is the capital of','openai-gpt']
]

io1 = gr.Interface.load("huggingface/openai-gpt")

io2 = gr.Interface.load("huggingface/CoffeeAddict93/gpt1-modest-proposal")


def inference(inputtext, model):
    if model == "openai-gpt":
        outlabel = io1(inputtext)
    else:
        outlabel = io2(inputtext)
    return outlabel
     

gr.Interface(
    inference, 
    [gr.inputs.Textbox(label="Context",lines=10),gr.inputs.Dropdown(choices=["openai-gpt"], type="value", default="openai-gpt", label="model")], 
    [gr.outputs.Textbox(label="Output")],
    examples=examples,
    article=article,
    title=title,
    description=description).launch(enable_queue=True)