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import gradio as gr
title = "GPT-J-6B"
description = "Gradio Demo for GPT-J 6B, a transformer model trained \
using Ben Wang's Mesh Transformer JAX. 'GPT-J' refers to the class of \
model, while '6B' represents the number of trainable parameters. \
To use it, simply add your text, or click one of the examples to load them. \
I've used the API on this Space to deploy the GPT-J-6B model on a Telegram bot. \
Link to blog post below 👇"
article = "<p style='text-align: center'> \
<a href='https://dicksonneoh.com/portfolio/deploy_gpt_hf_models_on_telegram/' \
target='_blank'>Blog post</a></p>"
examples = [
['The tower is 324 metres (1,063 ft) tall,'],
["The Moon's orbit around Earth has"],
["The smooth Borealis basin in the Northern Hemisphere covers 40%"]
]
gr.Interface.load("huggingface/EleutherAI/gpt-j-6B",
inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
title=title,description=description,
article=article,
examples=examples,
enable_queue=True).launch()
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