Spaces:
Runtime error
Runtime error
File size: 2,643 Bytes
20076b6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
from typing import Any, Dict, Generator, Optional
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: 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
}
|