src/llmtuner/webui/components/chatbot.py

from typing import TYPE_CHECKING, Dict, Optional, Tuple

import gradio as gr

from ..utils import check_json_schema


if TYPE_CHECKING:
    from gradio.blocks import Block
    from gradio.components import Component

    from ..engine import Engine


def create_chat_box(
    engine: "Engine", visible: Optional[bool] = False
) -> Tuple["Block", "Component", "Component", Dict[str, "Component"]]:
    with gr.Box(visible=visible) as chat_box:
        chatbot = gr.Chatbot()
        messages = gr.State([])
        with gr.Row():
            with gr.Column(scale=4):
                system = gr.Textbox(show_label=False)
                tools = gr.Textbox(show_label=False, lines=2)
                query = gr.Textbox(show_label=False, lines=8)
                submit_btn = gr.Button(variant="primary")

            with gr.Column(scale=1):
                clear_btn = gr.Button()
                gen_kwargs = engine.chatter.generating_args
                max_new_tokens = gr.Slider(10, 2048, value=gen_kwargs.max_new_tokens, step=1)
                top_p = gr.Slider(0.01, 1, value=gen_kwargs.top_p, step=0.01)
                temperature = gr.Slider(0.01, 1.5, value=gen_kwargs.temperature, step=0.01)

    tools.input(check_json_schema, [tools, engine.manager.get_elem_by_name("top.lang")])

    submit_btn.click(
        engine.chatter.predict,
        [chatbot, query, messages, system, tools, max_new_tokens, top_p, temperature],
        [chatbot, messages],
        show_progress=True,
    ).then(lambda: gr.update(value=""), outputs=[query])

    clear_btn.click(lambda: ([], []), outputs=[chatbot, messages], show_progress=True)

    return (
        chat_box,
        chatbot,
        messages,
        dict(
            system=system,
            tools=tools,
            query=query,
            submit_btn=submit_btn,
            clear_btn=clear_btn,
            max_new_tokens=max_new_tokens,
            top_p=top_p,
            temperature=temperature,
        ),
    )