mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-08-05 21:22:50 +08:00
73 lines
2.5 KiB
Python
73 lines
2.5 KiB
Python
import gradio as gr
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from typing import TYPE_CHECKING, Dict
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from ..common import list_dataset, DEFAULT_DATA_DIR
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from .data import create_preview_box
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if TYPE_CHECKING:
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from gradio.components import Component
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from ..engine import Engine
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def create_eval_tab(engine: "Engine") -> Dict[str, "Component"]:
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input_elems = engine.manager.get_base_elems()
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elem_dict = dict()
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with gr.Row():
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dataset_dir = gr.Textbox(value=DEFAULT_DATA_DIR, scale=2)
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dataset = gr.Dropdown(multiselect=True, scale=4)
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preview_elems = create_preview_box(dataset_dir, dataset)
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dataset_dir.change(list_dataset, [dataset_dir], [dataset], queue=False)
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input_elems.update({dataset_dir, dataset})
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elem_dict.update(dict(dataset_dir=dataset_dir, dataset=dataset, **preview_elems))
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with gr.Row():
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cutoff_len = gr.Slider(value=1024, minimum=4, maximum=8192, step=1)
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max_samples = gr.Textbox(value="100000")
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batch_size = gr.Slider(value=8, minimum=1, maximum=512, step=1)
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predict = gr.Checkbox(value=True)
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input_elems.update({cutoff_len, max_samples, batch_size, predict})
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elem_dict.update(dict(
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cutoff_len=cutoff_len, max_samples=max_samples, batch_size=batch_size, predict=predict
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))
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with gr.Row():
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max_new_tokens = gr.Slider(10, 2048, value=128, step=1)
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top_p = gr.Slider(0.01, 1, value=0.7, step=0.01)
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temperature = gr.Slider(0.01, 1.5, value=0.95, step=0.01)
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output_dir = gr.Textbox()
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input_elems.update({max_new_tokens, top_p, temperature, output_dir})
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elem_dict.update(dict(
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max_new_tokens=max_new_tokens, top_p=top_p, temperature=temperature, output_dir=output_dir
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))
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with gr.Row():
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cmd_preview_btn = gr.Button()
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start_btn = gr.Button()
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stop_btn = gr.Button()
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with gr.Row():
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resume_btn = gr.Checkbox(visible=False, interactive=False, value=False)
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process_bar = gr.Slider(visible=False, interactive=False)
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with gr.Box():
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output_box = gr.Markdown()
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output_elems = [output_box, process_bar]
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elem_dict.update(dict(
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cmd_preview_btn=cmd_preview_btn, start_btn=start_btn, stop_btn=stop_btn,
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resume_btn=resume_btn, process_bar=process_bar, output_box=output_box
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))
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cmd_preview_btn.click(engine.runner.preview_eval, input_elems, output_elems)
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start_btn.click(engine.runner.run_eval, input_elems, output_elems)
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stop_btn.click(engine.runner.set_abort, queue=False)
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resume_btn.change(engine.runner.monitor, outputs=output_elems)
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return elem_dict
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