from typing import TYPE_CHECKING, Dict import gradio as gr from llmtuner.extras.constants import METHODS, SUPPORTED_MODELS from llmtuner.extras.template import templates from llmtuner.webui.common import list_checkpoint, get_model_path, get_template, save_config from llmtuner.webui.utils import can_quantize if TYPE_CHECKING: from gradio.components import Component def create_top() -> Dict[str, "Component"]: available_models = list(SUPPORTED_MODELS.keys()) + ["Custom"] with gr.Row(): lang = gr.Dropdown(choices=["en", "zh"], scale=1) model_name = gr.Dropdown(choices=available_models, scale=3) model_path = gr.Textbox(scale=3) with gr.Row(): finetuning_type = gr.Dropdown(choices=METHODS, value="lora", scale=1) checkpoints = gr.Dropdown(multiselect=True, scale=5) refresh_btn = gr.Button(scale=1) with gr.Accordion(label="Advanced config", open=False) as advanced_tab: with gr.Row(): quantization_bit = gr.Dropdown(choices=["None", "8", "4"], value="None", scale=1) template = gr.Dropdown(choices=list(templates.keys()), value="default", scale=1) system_prompt = gr.Textbox(scale=2) lang.change(save_config, [lang, model_name, model_path]) model_name.change( list_checkpoint, [model_name, finetuning_type], [checkpoints] ).then( get_model_path, [model_name], [model_path] ).then( get_template, [model_name], [template] ) # do not save config since the below line will save model_path.change(save_config, [lang, model_name, model_path]) finetuning_type.change( list_checkpoint, [model_name, finetuning_type], [checkpoints] ).then( can_quantize, [finetuning_type], [quantization_bit] ) refresh_btn.click( list_checkpoint, [model_name, finetuning_type], [checkpoints], queue=False ) return dict( lang=lang, model_name=model_name, model_path=model_path, finetuning_type=finetuning_type, checkpoints=checkpoints, refresh_btn=refresh_btn, advanced_tab=advanced_tab, quantization_bit=quantization_bit, template=template, system_prompt=system_prompt )