app.py

import os
import time
from uuid import uuid4

import gradio as gr
from langchain.chat_models import ChatOpenAI
from langchain.schema import AIMessage, HumanMessage

from utils import prompts
from utils import functional as F


# Define all functions
def start_chatbot(input_username, input_password, input_questions, id_interview):
    if input_username == "" or input_password == "" or input_questions == "":
        return (
            (gr.update(),) * 2
            + (gr.update(value="Invalid username. Please try again."),)
            + (gr.update(value="Invalid password. Please try again."),)
            + (gr.update(value="Invalid questions. Please try again."),)
            + (gr.update(),) * 5
        )
    print(os.environ)
    if (
        f"AIRIS_DEMO_ACCOUNT_{input_username}" not in os.environ
        or os.environ[f"AIRIS_DEMO_ACCOUNT_{input_username}"] != input_password
    ):
        return (
            (gr.update(),) * 2
            + (gr.update(value="Invalid username. Please try again."),)
            + (gr.update(value="Invalid password. Please try again."),)
            + (gr.update(),) * 6
        )

    chat_openai = ChatOpenAI(
        model_name="gpt-3.5-turbo",
        temperature=0.3,
    )

    return (
        input_questions,
        chat_openai,
        gr.update(visible=False),
        gr.update(visible=False),
        gr.update(visible=False),
        gr.update(visible=False),
        gr.update(
            visible=True,
            value=[
                [None, F.get_first_message(chat_openai, input_questions, id_interview)],
            ],
        ),
        gr.update(visible=True),
        gr.update(visible=True),
        gr.update(visible=True),
    )


def bot(chat_openai, questions, id_interview, history):
    history_messages = F.get_initial_messages(questions, id_interview)
    for message in history:
        if message[0] is not None:
            history_messages.append(
                HumanMessage(content=F.remove_html_tags(message[0]).strip())
            )
        if message[1] is not None:
            history_messages.append(
                AIMessage(content=F.remove_html_tags(message[1]).strip())
            )

    if prompts.END_CHATBOT_PROMPTS in F.remove_html_tags(
        history[-2][1]
    ) or prompts.END_QUESTION_PROMPTS in F.remove_html_tags(history[-2][1]):
        bot_message = prompts.END_CHATBOT_PROMPTS
    elif not history[-1][0]:
        bot_message = prompts.EMPTY_INPUT_MESSAGE
    else:
        bot_message = F.get_bot_message(chat_openai, history_messages)

    if not bot_message == prompts.END_CHATBOT_PROMPTS:
        check_if_end_of_message = id_interview in bot_message
        if check_if_end_of_message:
            bot_message = bot_message.replace(f'ID Interview: "{id_interview}"', "")
            bot_message = (
                "\n".join(bot_message.split("\n")[:-1])
                + "\n"
                + prompts.END_QUESTION_PROMPTS
            )

    history[-1][1] = ""
    for character in bot_message:
        history[-1][1] += character
        time.sleep(0.005)
        yield history


with gr.Blocks(title="AIRIS (AI Regenerative Interview Survey)") as demo:
    # Define all states
    questions = gr.State(value=None)
    chat_openai = gr.State(value=None)
    id_interview = gr.State(value=str(uuid4().hex))

    # Define all components
    gr.Markdown(
        """
    # AIRIS (AI Regenerative Interview Survey)
    AIRIS (AI Regenerative Interview Survey) is an advanced application that utilizes artificial intelligence to streamline interviews and surveys. It generates intelligent questions, analyzes real-time responses, and continuously improves based on past interviews. With data analysis tools, it provides valuable insights, making interviews more efficient and insightful.
    """  # noqa: E501
    )

    input_username = gr.Textbox(
        label="Username",
        placeholder="Input your Username here...",
    ).style(container=True)
    input_password = gr.Textbox(
        label="Password",
        placeholder="Input your Password here...",
        type="password",
    ).style(container=True)
    input_questions = gr.TextArea(
        label="Questions", placeholder="Input your questions here.."
    ).style(container=True)
    input_submit = gr.Button("Submit")

    chatbot_display = gr.Chatbot(label="History Messages", visible=False).style(
        height=600
    )
    message_input = gr.TextArea(
        label="Your Message",
        placeholder="Type your message here...",
        lines=2,
        visible=False,
    ).style(container=True)
    send_message = gr.Button("Send", visible=False)
    reset_message = gr.Button("Reset Chat", visible=False).style(
        full_width=False, size="sm"
    )

    # Define all 'components' interactions
    send_message.click(
        fn=lambda user_message, history: ("", history + [[user_message, None]]),
        inputs=[message_input, chatbot_display],
        outputs=[message_input, chatbot_display],
    ).then(
        fn=bot,
        inputs=[chat_openai, questions, id_interview, chatbot_display],
        outputs=chatbot_display,
    )

    reset_message.click(
        fn=lambda chat_openai, questions, id_interview: gr.update(
            value=[
                [None, F.get_first_message(chat_openai, questions, id_interview)],
            ]
        ),
        inputs=[chat_openai, questions],
        outputs=chatbot_display,
    )

    input_submit.click(
        fn=start_chatbot,
        inputs=[input_username, input_password, input_questions, id_interview],
        outputs=[
            questions,
            chat_openai,
            input_username,
            input_password,
            input_questions,
            input_submit,
            chatbot_display,
            message_input,
            send_message,
            reset_message,
        ],
    )

demo.queue().launch()