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| # coding=utf-8 | |
| # author: xusong | |
| # time: 2022/8/23 16:06 | |
| """ | |
| ## TODO: | |
| - http get方式获取参数，(高优先级) | |
| - i18 国际化 https://blog.csdn.net/qq_26212731/article/details/78457198 request.header中也有language | |
| - iter_vocab 的 warmup | |
| - add_special_token 开关 | |
| - theme 开关 light/dark | |
| - token_id/tokens/bytes 开关 | |
| - 通过 javascript 添加 hover_text | |
| - 给方法 + 缓存，避免重复调用 | |
| - 英文 utf-8编码 | |
| - 词典支持下载 | |
| - 中文字词统计，是否要包括 _ G 等字符 | |
| - baichuan的单字数量怎么两万多个？ | |
| - OOV | |
| - feedback位置 | |
| - gpt4, gpt3.5 的overlap tokens 有问题。 | |
| - qwen: ValueError: Unclosed image token | |
| plots | |
| table | |
| ## related demo | |
| - [](http://text-processing.com/demo/tokenize/) | |
| - [gpt-tokenizer](https://gpt-tokenizer.dev/) | |
| - [llama-tokenizer-js](https://belladoreai.github.io/llama-tokenizer-js/example-demo/build/) | |
| - [](https://huggingface.co/spaces/Xenova/the-tokenizer-playground) | |
| ## 可视化 | |
| [ The, 2, QUICK, Brown, Foxes, jumped, over, the, lazy, dog's, bone ] | |
| """ | |
| import gradio as gr | |
| from vocab import all_tokenizers | |
| from util import * | |
| # llama chatglm_6b gpt_nexo_20b baichuan baichuan_7b | |
| examples_zh = [ | |
| ["空格测试： 2个空格 8个空格", "llama", "chatglm_6b"], # chatglm 有blank_n, | |
| ["标点测试：，。！？；", "baichuan_7b", "llama"], | |
| ["符号测试：🦙❤❥웃유♋☮✊☏☢☚✔☑♚▢♪✈✞÷↑↓▤▥⊙■□▣▽¿─│♥❣▬▫☿Ⓐ ✋✉☣☤", "baichuan_7b", "llama"], | |
| ["数字测试：(10086 + 98) = 100184", "baichuan_7b", "llama"], | |
| ["中文简体：宽带，繁体：樂來", "baichuan_7b", "llama"], | |
| ] | |
| examples = [ | |
| ["spaces: 2spaces 8spaces", "llama", "chatglm_6b"], # chatglm 有blank_n, | |
| ["punctuations: ,./?\"，。！？；", "baichuan_7b", "llama"], | |
| ["symbols: 🦙❤❥웃유♋☮✊☏☢☚✔☑♚▢♪✈✞÷↑↓▤▥⊙■□▣▽¿─│♥❣▬▫☿Ⓐ ✋✉☣☤", "baichuan_7b", "llama"], | |
| ["digits: (10086 + 98) = 100184", "baichuan_7b", "llama"], | |
| ] | |
| # jieba.enable_parallel() # flask中没办法parallel | |
| def example_fn(example_idx): | |
| return examples[example_idx] | |
| """Replace this text in the input field to see how tokenization works | |
| """ | |
| default_user_input = """Replace this text in the input field to see how tokenization works | |
| 华为发布Mate60手机 | |
| ラグビーワールドカップ2023フランス""" | |
| default_tokenizer_type_1 = "llama" | |
| default_tokenizer_type_2 = "internlm_chat_7b" | |
| default_stats_vocab_size_1, default_stats_zh_token_size_1 = basic_count(default_tokenizer_type_1) | |
| default_stats_vocab_size_2, default_stats_zh_token_size_2 = basic_count(default_tokenizer_type_2) | |
| default_stats_overlap_token_size = get_overlap_token_size(default_tokenizer_type_1, default_tokenizer_type_2)[0] | |
| default_output_text_1, default_output_table_1, default_output_len_1 = tokenize(default_user_input, default_tokenizer_type_1, update=False) | |
| default_output_text_2, default_output_table_2, default_output_len_2 = tokenize(default_user_input, default_tokenizer_type_2, update=False) | |
| with gr.Blocks(css="style.css") as demo: | |
| gr.HTML("""<h1 align="center">Tokenizer Arena ⚔️</h1>""") | |
| # links: https://www.coderstool.com/utf8-encoding-decoding | |
| # 功能：输入文本，进行分词 | |
| # 分词器：常见的分词器有集中， | |
| # 背景：方便分词、看词粒度、对比 | |
| # | |
| # Byte: 表示分词 | |
| with gr.Row(): | |
| gr.Markdown("## Input Text") | |
| dropdown_examples = gr.Dropdown( | |
| # ["空格测试", "标点测试", "符号测试", "数字测试"], | |
| ["spaces", "punctuations", "symbols", "digits"], | |
| value="Examples", | |
| type="index", | |
| show_label=False, | |
| container=False, | |
| scale=0, | |
| elem_classes="example-style" | |
| ) | |
| user_input = gr.Textbox( | |
| value=default_user_input, | |
| label="Input Text", | |
| lines=5, | |
| show_label=False, | |
| ) # placeholder="Enter sentence here..." | |
| # gr.Examples( | |
| # examples, | |
| # None, | |
| # ) | |
| gr.Markdown("## Tokenization") | |
| with gr.Row(): | |
| with gr.Column(scale=6): | |
| with gr.Group(): | |
| tokenizer_type_1 = gr.Dropdown( | |
| all_tokenizers, | |
| value=default_tokenizer_type_1, | |
| label="Tokenizer 1", | |
| ) | |
| with gr.Group(): | |
| """ | |
| <div class="stat"><div class="stat-value">69</div><div class="stat-label">Characters</div></div> | |
| """ | |
| with gr.Row(): | |
| stats_vocab_size_1 = gr.TextArea( | |
| value=default_stats_vocab_size_1, | |
| label="VocabSize", | |
| lines=1, | |
| elem_classes="statistics" | |
| ) | |
| stats_zh_token_size_1 = gr.TextArea( | |
| value=default_stats_zh_token_size_1, | |
| label="ZH char/word", | |
| lines=1, | |
| elem_classes="statistics" | |
| ) | |
| stats_overlap_token_size_1 = gr.TextArea( | |
| value=default_stats_overlap_token_size, | |
| label="Overlap Tokens", | |
| lines=1, | |
| elem_classes="statistics" | |
| ) | |
| # stats_3 = gr.TextArea( | |
| # label="Compress Rate", | |
| # lines=1, | |
| # elem_classes="statistics" | |
| # ) | |
| # https://www.onlinewebfonts.com/icon/418591 | |
| gr.Image("images/VS.svg", scale=1, show_label=False, | |
| show_download_button=False, container=False, | |
| show_share_button=False) | |
| with gr.Column(scale=6): | |
| with gr.Group(): | |
| tokenizer_type_2 = gr.Dropdown( | |
| all_tokenizers, | |
| value=default_tokenizer_type_2, | |
| label="Tokenizer 2", | |
| ) | |
| with gr.Group(): | |
| with gr.Row(): | |
| stats_vocab_size_2 = gr.TextArea( | |
| value=default_stats_vocab_size_2, | |
| label="VocabSize", | |
| lines=1, | |
| elem_classes="statistics" | |
| ) | |
| stats_zh_token_size_2 = gr.TextArea( | |
| value=default_stats_zh_token_size_2, | |
| label="ZH char/word", # 中文字/词 | |
| lines=1, | |
| elem_classes="statistics" | |
| ) | |
| # stats_6 = gr.TextArea( | |
| # label="Compress Rate", | |
| # lines=1, | |
| # elem_classes="statistics" | |
| # ) | |
| stats_overlap_token_size_2 = gr.TextArea( | |
| value=default_stats_overlap_token_size, | |
| label="Overlap Tokens", | |
| lines=1, | |
| elem_classes="statistics" | |
| ) | |
| # TODO: 图 表 压缩率 | |
| with gr.Row(): | |
| with gr.Column(): | |
| output_text_1 = gr.Highlightedtext( | |
| value=default_output_text_1, | |
| label=f"Tokens: {default_output_len_1}", | |
| show_legend=True, | |
| elem_classes="space-show" | |
| ) | |
| with gr.Column(): | |
| output_text_2 = gr.Highlightedtext( | |
| value=default_output_text_2, | |
| label=f"Tokens: {default_output_len_2}", | |
| show_legend=True, | |
| elem_classes="space-show" | |
| ) | |
| with gr.Row(): | |
| output_table_1 = gr.Dataframe( | |
| value=default_output_table_1, | |
| headers=["TokenID", "Byte", "Text"], | |
| datatype=["str", "str", "str"], | |
| # elem_classes="space-show", # 给整个Dataframe加这个css不起作用，因此直接修改cell-wrap | |
| ) | |
| output_table_2 = gr.Dataframe( | |
| value=default_output_table_2, | |
| headers=["TokenID", "Token", "Text"], | |
| datatype=["str", "str", "str"], | |
| ) | |
| tokenizer_type_1.change(tokenize, [user_input, tokenizer_type_1], | |
| [output_text_1, output_table_1]) | |
| # 下面两个好像可以合并 | |
| tokenizer_type_1.change(basic_count, [tokenizer_type_1], [stats_vocab_size_1, stats_zh_token_size_1]) | |
| tokenizer_type_1.change(get_overlap_token_size, [tokenizer_type_1, tokenizer_type_2], | |
| [stats_overlap_token_size_1, stats_overlap_token_size_2]) | |
| user_input.change(tokenize_pair, | |
| [user_input, tokenizer_type_1, tokenizer_type_2], | |
| [output_text_1, output_table_1, output_text_2, output_table_2]) # , pass_request=1 | |
| tokenizer_type_2.change(tokenize, [user_input, tokenizer_type_2], | |
| [output_text_2, output_table_2]) | |
| tokenizer_type_2.change(basic_count, [tokenizer_type_2], [stats_vocab_size_2, stats_zh_token_size_2]) | |
| tokenizer_type_2.change(get_overlap_token_size, [tokenizer_type_1, tokenizer_type_2], | |
| [stats_overlap_token_size_1, stats_overlap_token_size_2]) | |
| dropdown_examples.change( | |
| example_fn, | |
| dropdown_examples, | |
| [user_input, tokenizer_type_1, tokenizer_type_2] | |
| ) | |
| # start up 初始化 | |
| # user_input.update(user_input.value + "___") | |
| if __name__ == "__main__": | |
| demo.queue(max_size=20).launch() | |
| # demo.launch() | |