# Copyright (c) ModelScope Contributors. All rights reserved. import gradio as gr import os from functools import partial from packaging import version from transformers.utils import strtobool from typing import List, Optional, Union import swift from swift.arguments import (DeployArguments, EvalArguments, ExportArguments, RLHFArguments, SamplingArguments, WebUIArguments) from swift.pipelines import SwiftPipeline from .llm_eval import LLMEval from .llm_export import LLMExport from .llm_grpo import LLMGRPO from .llm_infer import LLMInfer from .llm_rlhf import LLMRLHF from .llm_sample import LLMSample from .llm_train import LLMTrain locale_dict = { 'title': { 'zh': '🚀SWIFT: 轻量级大模型训练推理框架', 'en': '🚀SWIFT: Scalable lightWeight Infrastructure for Fine-Tuning and Inference' }, 'sub_title': { 'zh': '请查看 ' 'SWIFT 文档来查看更多功能,使用SWIFT_UI_LANG=en环境变量来切换英文界面', 'en': 'Please check ' 'SWIFT Documentation for more usages, Use SWIFT_UI_LANG=zh variable to switch to Chinese UI', }, 'star_beggar': { 'zh': '喜欢SWIFT就动动手指给我们加个star吧🥺 ', 'en': 'If you like SWIFT, ' 'please take a few seconds to star us🥺 ' }, } class SwiftWebUI(SwiftPipeline): args_class = WebUIArguments args: args_class def run(self): lang = os.environ.get('SWIFT_UI_LANG') or self.args.lang share_env = os.environ.get('WEBUI_SHARE') share = strtobool(share_env) if share_env else self.args.share server = os.environ.get('WEBUI_SERVER') or self.args.server_name port_env = os.environ.get('WEBUI_PORT') port = int(port_env) if port_env else self.args.server_port LLMTrain.set_lang(lang) LLMRLHF.set_lang(lang) LLMGRPO.set_lang(lang) LLMInfer.set_lang(lang) LLMExport.set_lang(lang) LLMEval.set_lang(lang) LLMSample.set_lang(lang) with gr.Blocks(title='SWIFT WebUI', theme=gr.themes.Base()) as app: try: _version = swift.__version__ except AttributeError: _version = '' gr.HTML(f"

{locale_dict['title'][lang]}({_version})

") gr.HTML(f"

{locale_dict['sub_title'][lang]}

") with gr.Tabs(): LLMTrain.build_ui(LLMTrain) LLMRLHF.build_ui(LLMRLHF) LLMGRPO.build_ui(LLMGRPO) LLMInfer.build_ui(LLMInfer) LLMExport.build_ui(LLMExport) LLMEval.build_ui(LLMEval) LLMSample.build_ui(LLMSample) concurrent = {} if version.parse(gr.__version__) < version.parse('4.0.0'): concurrent = {'concurrency_count': 5} app.load( partial(LLMTrain.update_input_model, arg_cls=RLHFArguments), inputs=[LLMTrain.element('model')], outputs=[LLMTrain.element('train_record')] + list(LLMTrain.valid_elements().values())) app.load( partial(LLMRLHF.update_input_model, arg_cls=RLHFArguments), inputs=[LLMRLHF.element('model')], outputs=[LLMRLHF.element('train_record')] + list(LLMRLHF.valid_elements().values())) app.load( partial(LLMGRPO.update_input_model, arg_cls=RLHFArguments), inputs=[LLMGRPO.element('model')], outputs=[LLMGRPO.element('train_record')] + list(LLMGRPO.valid_elements().values())) app.load( partial(LLMInfer.update_input_model, arg_cls=DeployArguments, has_record=False), inputs=[LLMInfer.element('model')], outputs=list(LLMInfer.valid_elements().values())) app.load( partial(LLMExport.update_input_model, arg_cls=ExportArguments, has_record=False), inputs=[LLMExport.element('model')], outputs=list(LLMExport.valid_elements().values())) app.load( partial(LLMEval.update_input_model, arg_cls=EvalArguments, has_record=False), inputs=[LLMEval.element('model')], outputs=list(LLMEval.valid_elements().values())) app.load( partial(LLMSample.update_input_model, arg_cls=SamplingArguments, has_record=False), inputs=[LLMSample.element('model')], outputs=list(LLMSample.valid_elements().values())) app.queue(**concurrent).launch(server_name=server, inbrowser=True, server_port=port, height=800, share=share) def webui_main(args: Optional[Union[List[str], WebUIArguments]] = None): return SwiftWebUI(args).main()