LLaMA-Factory/src/llmtuner/webui/engine.py

from typing import Any, Dict, Generator

import gradio as gr
from gradio.components import Component  # cannot use TYPE_CHECKING here

from .chatter import WebChatModel
from .common import get_model_path, list_dataset, load_config
from .locales import LOCALES
from .manager import Manager
from .runner import Runner
from .utils import get_time


class Engine:
    def __init__(self, demo_mode: bool = False, pure_chat: bool = False) -> None:
        self.demo_mode = demo_mode
        self.pure_chat = pure_chat
        self.manager = Manager()
        self.runner = Runner(self.manager, demo_mode)
        self.chatter = WebChatModel(self.manager, demo_mode, lazy_init=(not pure_chat))

    def _form_dict(self, resume_dict: Dict[str, Dict[str, Any]]):
        return {self.manager.get_elem_by_name(k): gr.update(**v) for k, v in resume_dict.items()}

    def resume(self) -> Generator[Dict[Component, Dict[str, Any]], None, None]:
        user_config = load_config() if not self.demo_mode else {}
        lang = user_config.get("lang", None) or "en"

        init_dict = {"top.lang": {"value": lang}, "infer.chat_box": {"visible": self.chatter.loaded}}

        if not self.pure_chat:
            init_dict["train.dataset"] = {"choices": list_dataset()["choices"]}
            init_dict["eval.dataset"] = {"choices": list_dataset()["choices"]}

            if user_config.get("last_model", None):
                init_dict["top.model_name"] = {"value": user_config["last_model"]}
                init_dict["top.model_path"] = {"value": get_model_path(user_config["last_model"])}

        yield self._form_dict(init_dict)

        if not self.pure_chat:
            if self.runner.alive and not self.demo_mode:
                yield {elem: gr.update(value=value) for elem, value in self.runner.running_data.items()}
                if self.runner.do_train:
                    yield self._form_dict({"train.resume_btn": {"value": True}})
                else:
                    yield self._form_dict({"eval.resume_btn": {"value": True}})
            else:
                yield self._form_dict(
                    {
                        "train.output_dir": {"value": "train_" + get_time()},
                        "eval.output_dir": {"value": "eval_" + get_time()},
                    }
                )

    def change_lang(self, lang: str) -> Dict[Component, Dict[str, Any]]:
        return {
            component: gr.update(**LOCALES[name][lang])
            for elems in self.manager.all_elems.values()
            for name, component in elems.items()
            if name in LOCALES
        }