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import gradio as gr
from dotenv import load_dotenv
import os
from agent import QMLAgent
load_dotenv()
agent = QMLAgent()
with gr.Blocks(theme='snehilsanyal/scikit-learn') as demo:
#with gr.Tab("QA"):
chatbot = gr.Chatbot(label="QML Class Conversation Agent Demo")
msg = gr.Textbox()
clear = gr.Button("Clear")
def respond(user_message, chat_history):#, progress=gr.Progress()):
global agent
bot_message = agent.run(user_message)
chat_history.append((user_message, bot_message))
return "", chat_history
msg.submit(respond, [msg, chatbot], [msg, chatbot])
clear.click(lambda: None, None, chatbot, queue=False)
db_login = {
os.environ["USER_NAME"]: os.environ["USER_PWD"]
}
def _myauth(username, password):
if db_login.get(username) == password:
return True
return False
#demo.queue(concurrency_count=10).launch(server_port=7860, server_name='0.0.0.0')
demo.queue(concurrency_count=10).launch(auth=_myauth, server_port=7860, server_name='0.0.0.0') |