|
from typing import Any, Dict, Generator, Optional |
|
|
|
import gradio as gr |
|
from gradio.components import Component |
|
|
|
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: Optional[bool] = False, pure_chat: Optional[bool] = False) -> None: |
|
self.demo_mode = demo_mode |
|
self.pure_chat = pure_chat |
|
self.manager = Manager() |
|
self.runner = Runner(self.manager, demo_mode=demo_mode) |
|
self.chatter = WebChatModel(manager=self.manager, demo_mode=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: |
|
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 |
|
} |
|
|
