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import gradio as gr
from gradio_client import Client
import os
HF_TOKEN = os.environ.get('hf_access_to_attuned_coaching_bot_demo_private')
def environ_auth(username, password):
if username == os.environ.get('mattias_hallberg') and password == os.environ.get('mattias_hallberg_password'):
return True
elif username == os.environ.get('michal_gradshtein') and password == os.environ.get('michal_gradshtein_password'):
return True
elif username == os.environ.get('robert_bagares') and password == os.environ.get('robert_bagares_password'):
return True
elif username == os.environ.get('akiko_kinjo') and password == os.environ.get('akiko_kinjo_password'):
return True
elif username == os.environ.get('junichiro_kawashima') and password == os.environ.get('junichiro_kawashima_password'):
return True
elif username == os.environ.get('tomoya_yoshida') and password == os.environ.get('tomoya_yoshida_password'):
return True
elif username == os.environ.get('miho_breen') and password == os.environ.get('miho_breen_password'):
return True
elif username == os.environ.get('nawal_behih') and password == os.environ.get('nawal_behih_password'):
return True
elif username == os.environ.get('eri_hirose') and password == os.environ.get('eri_hirose_password'):
return True
else:
return False
demo = gr.load("attuned-ai/CoachingBotDemo-Private", src="spaces", hf_token=HF_TOKEN)
demo.queue(max_size=20)
demo.launch(auth=environ_auth).launch() |