aurora
80 строк · 2.2 Кб
1import gradio as gr2from typing import TYPE_CHECKING, Dict, Generator, List3
4from llmtuner.train import export_model5from llmtuner.webui.common import get_save_dir6from llmtuner.webui.locales import ALERTS7
8if TYPE_CHECKING:9from gradio.components import Component10from llmtuner.webui.engine import Engine11
12
13def save_model(14lang: str,15model_name: str,16model_path: str,17checkpoints: List[str],18finetuning_type: str,19template: str,20max_shard_size: int,21export_dir: str22) -> Generator[str, None, None]:23error = ""24if not model_name:25error = ALERTS["err_no_model"][lang]26elif not model_path:27error = ALERTS["err_no_path"][lang]28elif not checkpoints:29error = ALERTS["err_no_checkpoint"][lang]30elif not export_dir:31error = ALERTS["err_no_export_dir"][lang]32
33if error:34gr.Warning(error)35yield error36return37
38args = dict(39model_name_or_path=model_path,40checkpoint_dir=",".join([get_save_dir(model_name, finetuning_type, ckpt) for ckpt in checkpoints]),41finetuning_type=finetuning_type,42template=template,43export_dir=export_dir,44export_size=max_shard_size45)46
47yield ALERTS["info_exporting"][lang]48export_model(args)49yield ALERTS["info_exported"][lang]50
51
52def create_export_tab(engine: "Engine") -> Dict[str, "Component"]:53with gr.Row():54export_dir = gr.Textbox()55max_shard_size = gr.Slider(value=1, minimum=1, maximum=100)56
57export_btn = gr.Button()58info_box = gr.Textbox(show_label=False, interactive=False)59
60export_btn.click(61save_model,62[63engine.manager.get_elem_by_name("top.lang"),64engine.manager.get_elem_by_name("top.model_name"),65engine.manager.get_elem_by_name("top.model_path"),66engine.manager.get_elem_by_name("top.checkpoints"),67engine.manager.get_elem_by_name("top.finetuning_type"),68engine.manager.get_elem_by_name("top.template"),69max_shard_size,70export_dir
71],72[info_box]73)74
75return dict(76export_dir=export_dir,77max_shard_size=max_shard_size,78export_btn=export_btn,79info_box=info_box80)81