mirror of
https://github.com/hiyouga/LLaMA-Factory.git
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44 lines
1.5 KiB
Python
44 lines
1.5 KiB
Python
import gradio as gr
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from gradio.components import Component
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from typing import Any, Dict, List
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from llmtuner.webui.common import get_model_path, list_dataset, load_config
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from llmtuner.webui.locales import LOCALES
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from llmtuner.webui.utils import get_time
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class Manager:
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def __init__(self, elem_list: List[Dict[str, Component]]):
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self.elem_list = elem_list
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def gen_refresh(self, lang: str) -> Dict[str, Any]:
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refresh_dict = {
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"dataset": {"choices": list_dataset()["choices"]},
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"output_dir": {"value": get_time()}
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}
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user_config = load_config()
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if lang:
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refresh_dict["lang"] = {"value": lang}
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else:
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refresh_dict["lang"] = {"value": user_config["lang"] if user_config["lang"] else "en"}
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if user_config["last_model"]:
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refresh_dict["model_name"] = {"value": user_config["last_model"]}
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refresh_dict["model_path"] = {"value": get_model_path(user_config["last_model"])}
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return refresh_dict
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def gen_label(self, lang: str) -> Dict[Component, Dict[str, Any]]: # cannot use TYPE_CHECKING
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update_dict = {}
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refresh_dict = self.gen_refresh(lang)
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for elems in self.elem_list:
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for name, component in elems.items():
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update_dict[component] = gr.update(
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**LOCALES[name][refresh_dict["lang"]["value"]], **refresh_dict.get(name, {})
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)
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return update_dict
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