app.py

import gradio as gr
from gradio import inputs
from gradio.inputs import Textbox
from gradio import outputs
from transformers import pipeline

title = "Next Sentence Generator"
description = "Try this text generator!"
examples = [
   ["Zoe Kwan is a 20-year old singer and songwriter who has taken Hong Kong’s music scene by storm."],
   ["Zoe’s big break came when the godfather of Cantopop Sam Hui stumbled upon a YouTube video of Zoe singing."]
]
generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B")
generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B")
generator1 = gr.Interface.load("huggingface/gpt2-large")

gr.Parallel(generator1, generator2, 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)






import gradio as gr

api = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B")

def complete_with_gpt(text):
    return text[:-50] + api(text[-50:])

with gr.Blocks() as demo:
    with gr.Row():
        textbox = gr.Textbox(placeholder="Type here and press enter...", lines=8)
        with gr.Column():
            btn = gr.Button("Generate")

    btn.click(complete_with_gpt, textbox, textbox)

demo.launch()