import gradio as gr
from transformers import pipeline
title = "HKDSE English Language Paper 4 Generator"
description = "This text generation application features three generators, two of which, GPT2 and GPT-NEO, were fine-tuned on HKDSE English Language Paper 4 Part A group interaction prompts. The other generator is GPT-J-6B."
examples = [
    ["Zoe Kwan is a 20-year old singer and songwriter who has taken Hong Kong’s music scene by storm."],
    ["Zoe only recently began writing songs."],
    ["Zoe’s big break came when the godfather of Cantopop Sam Hui stumbled upon a YouTube video of Zoe singing."]
]
from gradio import inputs
from gradio.inputs import Textbox
from gradio import outputs

generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B")
generator1 = gr.Interface.load("Wootang01/gpt-neo-125M-finetuned-hkdse-english-paper4")
gr.Parallel(generator1, generator3, inputs=gr.inputs.Textbox(lines=5, label="Enter a sentence to get another sentence."),
            title=title, description=description, examples=examples).launch(share=False, enable_queue=True)