#libraries import gradio as gr from gradio.mix import Parallel #variables, functions and parameters model1 = gr.Interface.load("huggingface/gpt2") model2 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B") model3 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-1.3B") #functions, parameters and variables gr.Parallel(model1, model2, model3).launch() 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): # Use the last 50 characters of the text as context 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()