import gradio as gr
from gradio_client import Client
import os

# HF_TOKEN = os.environ.get('HUGGING_FACE_HUB_TOKEN')
HF_TOKEN = os.environ.get('hf_access_to_private_space2')

def environ_auth(username, password):
    if username == os.environ.get('username') and password == os.environ.get('password'):
        return True
    else:
        return False
        
# gr.load(name="Attuned-Communication-Bot", src="spaces").launch()
# gr.load(name="spaces/attuned-ai/Attuned-Communication-Bot", hf_token=HF_TOKEN, src="spaces").launch()
# demo = gr.load("attuned-ai/Attuned-Communication-Bot", src="spaces", hf_token=HF_TOKEN)
demo = gr.load("attuned-ai/TestPrivateSpace", src="spaces", hf_token=HF_TOKEN)
demo.queue(max_size=20)
demo.launch(auth=environ_auth).launch()