mirror of
https://github.com/gradio-app/gradio.git
synced 2024-12-21 02:19:59 +08:00
38b16beb16
* Switch model and fix demo * fix remaining demos --------- Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
21 lines
795 B
Python
21 lines
795 B
Python
import gradio as gr
|
|
import os
|
|
|
|
# save your HF API token from https:/hf.co/settings/tokens as an env variable to avoid rate limiting
|
|
auth_token = os.getenv("auth_token")
|
|
|
|
# load a model from https://hf.co/models as an interface, then use it as an api
|
|
# you can remove the api_key parameter if you don't care about rate limiting.
|
|
api = gr.load("huggingface/gpt2-xl", hf_token=auth_token)
|
|
|
|
def complete_with_gpt(text):
|
|
return text[:-50] + api(text[-50:])
|
|
|
|
with gr.Blocks() as demo:
|
|
textbox = gr.Textbox(placeholder="Type here...", lines=4)
|
|
btn = gr.Button("Autocomplete")
|
|
|
|
# define what will run when the button is clicked, here the textbox is used as both an input and an output
|
|
btn.click(fn=complete_with_gpt, inputs=textbox, outputs=textbox, queue=False)
|
|
|
|
demo.launch() |