app.py

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')