Spaces:
Sleeping
Sleeping
File size: 1,707 Bytes
0436c9b 1613f67 0436c9b 2d24117 1613f67 7e81cb5 907a6eb 0436c9b 907a6eb 0436c9b 907a6eb 0436c9b 907a6eb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |
#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()
|