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44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
import gradio as gr
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from typing import TYPE_CHECKING, Dict
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from llmtuner.webui.utils import save_model
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if TYPE_CHECKING:
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from gradio.components import Component
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from llmtuner.webui.engine import Engine
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def create_export_tab(engine: "Engine") -> Dict[str, "Component"]:
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elem_dict = dict()
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with gr.Row():
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export_dir = gr.Textbox()
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max_shard_size = gr.Slider(value=10, minimum=1, maximum=100)
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export_btn = gr.Button()
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info_box = gr.Textbox(show_label=False, interactive=False)
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export_btn.click(
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save_model,
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[
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engine.manager.get_elem("top.lang"),
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engine.manager.get_elem("top.model_name"),
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engine.manager.get_elem("top.model_path"),
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engine.manager.get_elem("top.checkpoints"),
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engine.manager.get_elem("top.finetuning_type"),
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engine.manager.get_elem("top.template"),
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max_shard_size,
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export_dir
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],
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[info_box]
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)
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elem_dict.update(dict(
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export_dir=export_dir,
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max_shard_size=max_shard_size,
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export_btn=export_btn,
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info_box=info_box
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))
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return elem_dict
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