# Copyright (c) ModelScope Contributors. All rights reserved. import gradio as gr from typing import Type from ..base import BaseUI class Task(BaseUI): group = 'llm_train' locale_dict = { 'embed_tab': { 'label': { 'zh': '文本嵌入', 'en': 'Embedding' }, }, 'loss_type': { 'label': { 'zh': 'Loss类型', 'en': 'Loss type' } }, 'seq_cls_tab': { 'label': { 'zh': '序列分类', 'en': 'Sequence Classification' }, }, 'num_labels': { 'label': { 'zh': '标签数量', 'en': 'Number of labels' } }, 'use_chat_template': { 'label': { 'zh': '使用对话模板', 'en': 'use chat template' }, 'info': { 'zh': '使用对话模板或生成模板', 'en': 'Use the chat template or generation template' } }, 'task_type': { 'label': { 'zh': '任务类型', 'en': 'Task type' }, }, 'task_params': { 'label': { 'zh': '任务参数', 'en': 'Task params' }, } } tabs_to_filter = {'embedding': ['loss_type'], 'seq_cls': ['num_labels', 'use_chat_template']} @classmethod def do_build_ui(cls, base_tab: Type['BaseUI']): with gr.Accordion(elem_id='task_params', open=False): gr.Dropdown(elem_id='task_type', choices=['causal_lm', 'seq_cls', 'embedding']) with gr.Tabs(): with gr.TabItem(elem_id='embed_tab'): with gr.Row(): gr.Dropdown( elem_id='loss_type', choices=['cosine_similarity', 'contrastive', 'online_contrastive', 'infonce']) with gr.TabItem(elem_id='seq_cls_tab'): with gr.Row(): gr.Textbox(elem_id='num_labels', scale=4) gr.Checkbox(elem_id='use_chat_template', value=True, scale=4)