56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
from typing import TYPE_CHECKING, Dict, Generator, List, Set, Tuple
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if TYPE_CHECKING:
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from gradio.components import Component
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class Manager:
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def __init__(self) -> None:
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self._elem_dicts: Dict[str, Dict[str, "Component"]] = {}
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def add_elem_dict(self, tab_name: str, elem_dict: Dict[str, "Component"]) -> None:
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r"""
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Adds a elem dict.
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"""
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self._elem_dicts[tab_name] = elem_dict
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def get_elem_list(self) -> List["Component"]:
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r"""
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Returns the list of all elements.
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"""
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return [elem for elem_dict in self._elem_dicts.values() for elem in elem_dict.values()]
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def get_elem_iter(self) -> Generator[Tuple[str, "Component"], None, None]:
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r"""
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Returns an iterator over all elements with their names.
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"""
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for elem_dict in self._elem_dicts.values():
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for elem_name, elem in elem_dict.items():
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yield elem_name, elem
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def get_elem_by_id(self, elem_id: str) -> "Component":
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r"""
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Gets element by id.
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Example: top.lang, train.dataset
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"""
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tab_name, elem_name = elem_id.split(".")
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return self._elem_dicts[tab_name][elem_name]
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def get_base_elems(self) -> Set["Component"]:
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r"""
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Gets the base elements that are commonly used.
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"""
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return {
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self._elem_dicts["top"]["lang"],
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self._elem_dicts["top"]["model_name"],
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self._elem_dicts["top"]["model_path"],
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self._elem_dicts["top"]["finetuning_type"],
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self._elem_dicts["top"]["adapter_path"],
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self._elem_dicts["top"]["quantization_bit"],
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self._elem_dicts["top"]["template"],
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self._elem_dicts["top"]["rope_scaling"],
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self._elem_dicts["top"]["booster"],
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}
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