From 2e9b4a57701fb3ebe5b9295c27bb6b950720e7d0 Mon Sep 17 00:00:00 2001 From: binary-husky <96192199+binary-husky@users.noreply.github.com> Date: Wed, 14 Feb 2024 18:35:09 +0800 Subject: [PATCH] Merge Frontier, Update to Version 3.72 (#1553) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Zhipu sdk update 适配最新的智谱SDK，支持GLM4v (#1502) * 适配 google gemini 优化为从用户input中提取文件 * 适配最新的智谱SDK、支持glm-4v * requirements.txt fix * pending history check --------- Co-authored-by: binary-husky * Update "生成多种Mermaid图表" plugin: Separate out the file reading function (#1520) * Update crazy_functional.py with new functionality deal with PDF * Update crazy_functional.py and Mermaid.py for plugin_kwargs * Update crazy_functional.py with new chart type: mind map * Update SELECT_PROMPT and i_say_show_user messages * Update ArgsReminder message in get_crazy_functions() function * Update with read md file and update PROMPTS * Return the PROMPTS as the test found that the initial version worked best * Update Mermaid chart generation function * version 3.71 * 解决issues #1510 * Remove unnecessary text from sys_prompt in 解析历史输入 function * Remove sys_prompt message in 解析历史输入 function * Update bridge_all.py: supports gpt-4-turbo-preview (#1517) * Update bridge_all.py: supports gpt-4-turbo-preview supports gpt-4-turbo-preview * Update bridge_all.py --------- Co-authored-by: binary-husky <96192199+binary-husky@users.noreply.github.com> * Update config.py: supports gpt-4-turbo-preview (#1516) * Update config.py: supports gpt-4-turbo-preview supports gpt-4-turbo-preview * Update config.py --------- Co-authored-by: binary-husky <96192199+binary-husky@users.noreply.github.com> * Refactor 解析历史输入 function to handle file input * Update Mermaid chart generation functionality * rename files and functions --------- Co-authored-by: binary-husky Co-authored-by: hongyi-zhao Co-authored-by: binary-husky <96192199+binary-husky@users.noreply.github.com> * 接入mathpix ocr功能 (#1468) * Update Latex输出PDF结果.py 借助mathpix实现了PDF翻译中文并重新编译PDF * Update config.py add mathpix appid & appkey * Add 'PDF翻译中文并重新编译PDF' feature to plugins. --------- Co-authored-by: binary-husky <96192199+binary-husky@users.noreply.github.com> * fix zhipuai * check picture * remove glm-4 due to bug * 修改config * 检查MATHPIX_APPID * Remove unnecessary code and update function_plugins dictionary * capture non-standard token overflow * bug fix #1524 * change mermaid style * 支持mermaid 滚动放大缩小重置,鼠标滚动和拖拽 (#1530) * 支持mermaid 滚动放大缩小重置,鼠标滚动和拖拽 * 微调未果 先stage一下 * update --------- Co-authored-by: binary-husky Co-authored-by: binary-husky <96192199+binary-husky@users.noreply.github.com> * ver 3.72 * change live2d * save the status of ``clear btn` in cookie * 前端选择保持 * js ui bug fix * reset btn bug fix * update live2d tips * fix missing get_token_num method * fix live2d toggle switch * fix persistent custom btn with cookie * fix zhipuai feedback with core functionality * Refactor button update and clean up functions --------- Co-authored-by: XIao <46100050+Kilig947@users.noreply.github.com> Co-authored-by: Menghuan1918 Co-authored-by: hongyi-zhao Co-authored-by: Hao Ma <893017927@qq.com> Co-authored-by: zeyuan huang <599012428@qq.com> --- config.py | 41 +- crazy_functional.py | 32 +- crazy_functions/Latex输出PDF.py | 484 ++ crazy_functions/Latex输出PDF结果.py | 313 - crazy_functions/pdf_fns/parse_word.py | 85 + crazy_functions/生成多种Mermaid图表.py | 86 +- docs/translate_english.json | 2 +- docs/translate_japanese.json | 2 +- docs/translate_std.json | 2 +- docs/translate_traditionalchinese.json | 2 +- docs/waifu_plugin/autoload.js | 30 - main.py | 93 +- request_llms/bridge_all.py | 52 +- request_llms/bridge_chatgpt.py | 2 + request_llms/bridge_google_gemini.py | 4 + request_llms/bridge_zhipu.py | 65 +- request_llms/com_zhipuapi.py | 70 - request_llms/com_zhipuglm.py | 84 + requirements.txt | 6 +- tests/test_plugins.py | 6 +- themes/base64.mjs | 297 +- themes/common.css | 1 + themes/common.js | 173 +- themes/common.py | 7 +- themes/mermaid.min.js | 1590 +--- themes/mermaid_editor.js | 56 +- themes/mermaid_loader.js | 198 +- themes/pako.esm.mjs | 6878 +---------------- themes/theme.py | 109 +- themes/waifu_plugin/autoload.js | 0 .../waifu_plugin/flat-ui-icons-regular.eot | Bin .../waifu_plugin/flat-ui-icons-regular.svg | 0 .../waifu_plugin/flat-ui-icons-regular.ttf | Bin .../waifu_plugin/flat-ui-icons-regular.woff | Bin .../waifu_plugin/jquery-ui.min.js | 0 {docs => themes}/waifu_plugin/jquery.min.js | 0 {docs => themes}/waifu_plugin/live2d.js | 0 {docs => themes}/waifu_plugin/source | 0 {docs => themes}/waifu_plugin/waifu-tips.js | 4 +- {docs => themes}/waifu_plugin/waifu-tips.json | 28 +- {docs => themes}/waifu_plugin/waifu.css | 0 version | 4 +- 42 files changed, 1171 insertions(+), 9635 deletions(-) create mode 100644 crazy_functions/Latex输出PDF.py delete mode 100644 crazy_functions/Latex输出PDF结果.py create mode 100644 crazy_functions/pdf_fns/parse_word.py delete mode 100644 docs/waifu_plugin/autoload.js delete mode 100644 request_llms/com_zhipuapi.py create mode 100644 request_llms/com_zhipuglm.py create mode 100644 themes/waifu_plugin/autoload.js rename {docs => themes}/waifu_plugin/flat-ui-icons-regular.eot (100%) rename {docs => themes}/waifu_plugin/flat-ui-icons-regular.svg (100%) rename {docs => themes}/waifu_plugin/flat-ui-icons-regular.ttf (100%) rename {docs => themes}/waifu_plugin/flat-ui-icons-regular.woff (100%) rename {docs => themes}/waifu_plugin/jquery-ui.min.js (100%) rename {docs => themes}/waifu_plugin/jquery.min.js (100%) rename {docs => themes}/waifu_plugin/live2d.js (100%) rename {docs => themes}/waifu_plugin/source (100%) rename {docs => themes}/waifu_plugin/waifu-tips.js (92%) rename {docs => themes}/waifu_plugin/waifu-tips.json (86%) rename {docs => themes}/waifu_plugin/waifu.css (100%) diff --git a/config.py b/config.py index 45fafbd..3a7ae41 100644 --- a/config.py +++ b/config.py @@ -2,8 +2,8 @@ 以下所有配置也都支持利用环境变量覆写，环境变量配置格式见docker-compose.yml。 读取优先级：环境变量 > config_private.py > config.py --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- - All the following configurations also support using environment variables to override, - and the environment variable configuration format can be seen in docker-compose.yml. + All the following configurations also support using environment variables to override, + and the environment variable configuration format can be seen in docker-compose.yml. Configuration reading priority: environment variable > config_private.py > config.py """ @@ -33,7 +33,7 @@ else: # ------------------------------------ 以下配置可以优化体验, 但大部分场合下并不需要修改 ------------------------------------ # 重新URL重新定向，实现更换API_URL的作用（高危设置! 常规情况下不要修改! 通过修改此设置，您将把您的API-KEY和对话隐私完全暴露给您设定的中间人！） -# 格式: API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "在这里填写重定向的api.openai.com的URL"} +# 格式: API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "在这里填写重定向的api.openai.com的URL"} # 举例: API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "https://reverse-proxy-url/v1/chat/completions"} API_URL_REDIRECT = {} @@ -66,7 +66,7 @@ LAYOUT = "LEFT-RIGHT" # "LEFT-RIGHT"（左右布局） # "TOP-DOWN"（上下 # 暗色模式 / 亮色模式 -DARK_MODE = True +DARK_MODE = True # 发送请求到OpenAI后，等待多久判定为超时 @@ -89,11 +89,11 @@ DEFAULT_FN_GROUPS = ['对话', '编程', '学术', '智能体'] LLM_MODEL = "gpt-3.5-turbo-16k" # 可选 ↓↓↓ AVAIL_LLM_MODELS = ["gpt-4-1106-preview", "gpt-4-turbo-preview", "gpt-4-vision-preview", "gpt-3.5-turbo-1106", "gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5", - "gpt-4", "gpt-4-32k", "azure-gpt-4", "api2d-gpt-4", - "gemini-pro", "chatglm3", "claude-2", "zhipuai"] + "gpt-4", "gpt-4-32k", "azure-gpt-4", "glm-4", "glm-3-turbo", + "gemini-pro", "chatglm3", "claude-2"] # P.S. 其他可用的模型还包括 [ # "moss", "qwen-turbo", "qwen-plus", "qwen-max" -# "zhipuai", "qianfan", "deepseekcoder", "llama2", "qwen-local", "gpt-3.5-turbo-0613", +# "zhipuai", "qianfan", "deepseekcoder", "llama2", "qwen-local", "gpt-3.5-turbo-0613", # "gpt-3.5-turbo-16k-0613", "gpt-3.5-random", "api2d-gpt-3.5-turbo", 'api2d-gpt-3.5-turbo-16k', # "spark", "sparkv2", "sparkv3", "chatglm_onnx", "claude-1-100k", "claude-2", "internlm", "jittorllms_pangualpha", "jittorllms_llama" # ] @@ -158,7 +158,7 @@ API_ORG = "" # 如果需要使用Slack Claude，使用教程详情见 request_llms/README.md -SLACK_CLAUDE_BOT_ID = '' +SLACK_CLAUDE_BOT_ID = '' SLACK_CLAUDE_USER_TOKEN = '' @@ -195,7 +195,7 @@ XFYUN_API_KEY = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa" # 接入智谱大模型 ZHIPUAI_API_KEY = "" -ZHIPUAI_MODEL = "glm-4" # 可选 "glm-3-turbo" "glm-4" +ZHIPUAI_MODEL = "" # 此选项已废弃，不再需要填写 # # 火山引擎YUNQUE大模型 @@ -208,6 +208,11 @@ ZHIPUAI_MODEL = "glm-4" # 可选 "glm-3-turbo" "glm-4" ANTHROPIC_API_KEY = "" +# Mathpix 拥有执行PDF的OCR功能，但是需要注册账号 +MATHPIX_APPID = "" +MATHPIX_APPKEY = "" + + # 自定义API KEY格式 CUSTOM_API_KEY_PATTERN = "" @@ -224,8 +229,8 @@ HUGGINGFACE_ACCESS_TOKEN = "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" # 获取方法：复制以下空间https://huggingface.co/spaces/qingxu98/grobid，设为public，然后GROBID_URL = "https://(你的hf用户名如qingxu98)-(你的填写的空间名如grobid).hf.space" GROBID_URLS = [ "https://qingxu98-grobid.hf.space","https://qingxu98-grobid2.hf.space","https://qingxu98-grobid3.hf.space", - "https://qingxu98-grobid4.hf.space","https://qingxu98-grobid5.hf.space", "https://qingxu98-grobid6.hf.space", - "https://qingxu98-grobid7.hf.space", "https://qingxu98-grobid8.hf.space", + "https://qingxu98-grobid4.hf.space","https://qingxu98-grobid5.hf.space", "https://qingxu98-grobid6.hf.space", + "https://qingxu98-grobid7.hf.space", "https://qingxu98-grobid8.hf.space", ] @@ -246,7 +251,7 @@ PATH_LOGGING = "gpt_log" # 除了连接OpenAI之外，还有哪些场合允许使用代理，请勿修改 -WHEN_TO_USE_PROXY = ["Download_LLM", "Download_Gradio_Theme", "Connect_Grobid", +WHEN_TO_USE_PROXY = ["Download_LLM", "Download_Gradio_Theme", "Connect_Grobid", "Warmup_Modules", "Nougat_Download", "AutoGen"] @@ -297,9 +302,8 @@ NUM_CUSTOM_BASIC_BTN = 4 │ ├── BAIDU_CLOUD_API_KEY │ └── BAIDU_CLOUD_SECRET_KEY │ -├── "zhipuai" 智谱AI大模型chatglm_turbo -│ ├── ZHIPUAI_API_KEY -│ └── ZHIPUAI_MODEL +├── "glm-4", "glm-3-turbo", "zhipuai" 智谱AI大模型 +│ └── ZHIPUAI_API_KEY │ ├── "qwen-turbo" 等通义千问大模型 │ └── DASHSCOPE_API_KEY @@ -311,7 +315,7 @@ NUM_CUSTOM_BASIC_BTN = 4 ├── NEWBING_STYLE └── NEWBING_COOKIES - + 本地大模型示意图 │ ├── "chatglm3" @@ -351,6 +355,9 @@ NUM_CUSTOM_BASIC_BTN = 4 │ └── ALIYUN_SECRET │ └── PDF文档精准解析 - └── GROBID_URLS + ├── GROBID_URLS + ├── MATHPIX_APPID + └── MATHPIX_APPKEY + """ diff --git a/crazy_functional.py b/crazy_functional.py index b6f4a03..3e998e5 100644 --- a/crazy_functional.py +++ b/crazy_functional.py @@ -70,11 +70,11 @@ def get_crazy_functions(): "Info": "清除所有缓存文件，谨慎操作 | 不需要输入参数", "Function": HotReload(清除缓存), }, - "生成多种Mermaid图表(从当前对话或文件(.pdf/.md)中生产图表）": { + "生成多种Mermaid图表(从当前对话或路径(.pdf/.md/.docx)中生产图表）": { "Group": "对话", "Color": "stop", "AsButton": False, - "Info" : "基于当前对话或PDF生成多种Mermaid图表,图表类型由模型判断", + "Info" : "基于当前对话或文件生成多种Mermaid图表,图表类型由模型判断", "Function": HotReload(生成多种Mermaid图表), "AdvancedArgs": True, "ArgsReminder": "请输入图类型对应的数字,不输入则为模型自行判断:1-流程图,2-序列图,3-类图,4-饼图,5-甘特图,6-状态图,7-实体关系图,8-象限提示图,9-思维导图", @@ -532,8 +532,9 @@ def get_crazy_functions(): print("Load function plugin failed") try: - from crazy_functions.Latex输出PDF结果 import Latex英文纠错加PDF对比 - from crazy_functions.Latex输出PDF结果 import Latex翻译中文并重新编译PDF + from crazy_functions.Latex输出PDF import Latex英文纠错加PDF对比 + from crazy_functions.Latex输出PDF import Latex翻译中文并重新编译PDF + from crazy_functions.Latex输出PDF import PDF翻译中文并重新编译PDF function_plugins.update( { @@ -550,9 +551,9 @@ def get_crazy_functions(): "Color": "stop", "AsButton": False, "AdvancedArgs": True, - "ArgsReminder": "如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 " - + "例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: " - + 'If the term "agent" is used in this section, it should be translated to "智能体". ', + "ArgsReminder": r"如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 " + r"例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: " + r'If the term "agent" is used in this section, it should be translated to "智能体". ', "Info": "Arixv论文精细翻译 | 输入参数arxiv论文的ID，比如1812.10695", "Function": HotReload(Latex翻译中文并重新编译PDF), }, @@ -561,11 +562,22 @@ def get_crazy_functions(): "Color": "stop", "AsButton": False, "AdvancedArgs": True, - "ArgsReminder": "如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 " - + "例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: " - + 'If the term "agent" is used in this section, it should be translated to "智能体". ', + "ArgsReminder": r"如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 " + r"例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: " + r'If the term "agent" is used in this section, it should be translated to "智能体". ', "Info": "本地Latex论文精细翻译 | 输入参数是路径", "Function": HotReload(Latex翻译中文并重新编译PDF), + }, + "PDF翻译中文并重新编译PDF（上传PDF）[需Latex]": { + "Group": "学术", + "Color": "stop", + "AsButton": False, + "AdvancedArgs": True, + "ArgsReminder": r"如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 " + r"例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: " + r'If the term "agent" is used in this section, it should be translated to "智能体". ', + "Info": "PDF翻译中文，并重新编译PDF | 输入参数为路径", + "Function": HotReload(PDF翻译中文并重新编译PDF) } } ) diff --git a/crazy_functions/Latex输出PDF.py b/crazy_functions/Latex输出PDF.py new file mode 100644 index 0000000..919a1db --- /dev/null +++ b/crazy_functions/Latex输出PDF.py @@ -0,0 +1,484 @@ +from toolbox import update_ui, trimmed_format_exc, get_conf, get_log_folder, promote_file_to_downloadzone +from toolbox import CatchException, report_exception, update_ui_lastest_msg, zip_result, gen_time_str +from functools import partial +import glob, os, requests, time, json, tarfile + +pj = os.path.join +ARXIV_CACHE_DIR = os.path.expanduser(f"~/arxiv_cache/") + + +# =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- 工具函数 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=- +# 专业词汇声明 = 'If the term "agent" is used in this section, it should be translated to "智能体". ' +def switch_prompt(pfg, mode, more_requirement): + """ + Generate prompts and system prompts based on the mode for proofreading or translating. + Args: + - pfg: Proofreader or Translator instance. + - mode: A string specifying the mode, either 'proofread' or 'translate_zh'. + + Returns: + - inputs_array: A list of strings containing prompts for users to respond to. + - sys_prompt_array: A list of strings containing prompts for system prompts. + """ + n_split = len(pfg.sp_file_contents) + if mode == 'proofread_en': + inputs_array = [r"Below is a section from an academic paper, proofread this section." + + r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " + more_requirement + + r"Answer me only with the revised text:" + + f"\n\n{frag}" for frag in pfg.sp_file_contents] + sys_prompt_array = ["You are a professional academic paper writer." for _ in range(n_split)] + elif mode == 'translate_zh': + inputs_array = [ + r"Below is a section from an English academic paper, translate it into Chinese. " + more_requirement + + r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " + + r"Answer me only with the translated text:" + + f"\n\n{frag}" for frag in pfg.sp_file_contents] + sys_prompt_array = ["You are a professional translator." for _ in range(n_split)] + else: + assert False, "未知指令" + return inputs_array, sys_prompt_array + + +def desend_to_extracted_folder_if_exist(project_folder): + """ + Descend into the extracted folder if it exists, otherwise return the original folder. + + Args: + - project_folder: A string specifying the folder path. + + Returns: + - A string specifying the path to the extracted folder, or the original folder if there is no extracted folder. + """ + maybe_dir = [f for f in glob.glob(f'{project_folder}/*') if os.path.isdir(f)] + if len(maybe_dir) == 0: return project_folder + if maybe_dir[0].endswith('.extract'): return maybe_dir[0] + return project_folder + + +def move_project(project_folder, arxiv_id=None): + """ + Create a new work folder and copy the project folder to it. + + Args: + - project_folder: A string specifying the folder path of the project. + + Returns: + - A string specifying the path to the new work folder. + """ + import shutil, time + time.sleep(2) # avoid time string conflict + if arxiv_id is not None: + new_workfolder = pj(ARXIV_CACHE_DIR, arxiv_id, 'workfolder') + else: + new_workfolder = f'{get_log_folder()}/{gen_time_str()}' + try: + shutil.rmtree(new_workfolder) + except: + pass + + # align subfolder if there is a folder wrapper + items = glob.glob(pj(project_folder, '*')) + items = [item for item in items if os.path.basename(item) != '__MACOSX'] + if len(glob.glob(pj(project_folder, '*.tex'))) == 0 and len(items) == 1: + if os.path.isdir(items[0]): project_folder = items[0] + + shutil.copytree(src=project_folder, dst=new_workfolder) + return new_workfolder + + +def arxiv_download(chatbot, history, txt, allow_cache=True): + def check_cached_translation_pdf(arxiv_id): + translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'translation') + if not os.path.exists(translation_dir): + os.makedirs(translation_dir) + target_file = pj(translation_dir, 'translate_zh.pdf') + if os.path.exists(target_file): + promote_file_to_downloadzone(target_file, rename_file=None, chatbot=chatbot) + target_file_compare = pj(translation_dir, 'comparison.pdf') + if os.path.exists(target_file_compare): + promote_file_to_downloadzone(target_file_compare, rename_file=None, chatbot=chatbot) + return target_file + return False + + def is_float(s): + try: + float(s) + return True + except ValueError: + return False + + if ('.' in txt) and ('/' not in txt) and is_float(txt): # is arxiv ID + txt = 'https://arxiv.org/abs/' + txt.strip() + if ('.' in txt) and ('/' not in txt) and is_float(txt[:10]): # is arxiv ID + txt = 'https://arxiv.org/abs/' + txt[:10] + + if not txt.startswith('https://arxiv.org'): + return txt, None # 是本地文件，跳过下载 + + # <-------------- inspect format -------------> + chatbot.append([f"检测到arxiv文档连接", '尝试下载 ...']) + yield from update_ui(chatbot=chatbot, history=history) + time.sleep(1) # 刷新界面 + + url_ = txt # https://arxiv.org/abs/1707.06690 + if not txt.startswith('https://arxiv.org/abs/'): + msg = f"解析arxiv网址失败, 期望格式例如: https://arxiv.org/abs/1707.06690。实际得到格式: {url_}。" + yield from update_ui_lastest_msg(msg, chatbot=chatbot, history=history) # 刷新界面 + return msg, None + # <-------------- set format -------------> + arxiv_id = url_.split('/abs/')[-1] + if 'v' in arxiv_id: arxiv_id = arxiv_id[:10] + cached_translation_pdf = check_cached_translation_pdf(arxiv_id) + if cached_translation_pdf and allow_cache: return cached_translation_pdf, arxiv_id + + url_tar = url_.replace('/abs/', '/e-print/') + translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'e-print') + extract_dst = pj(ARXIV_CACHE_DIR, arxiv_id, 'extract') + os.makedirs(translation_dir, exist_ok=True) + + # <-------------- download arxiv source file -------------> + dst = pj(translation_dir, arxiv_id + '.tar') + if os.path.exists(dst): + yield from update_ui_lastest_msg("调用缓存", chatbot=chatbot, history=history) # 刷新界面 + else: + yield from update_ui_lastest_msg("开始下载", chatbot=chatbot, history=history) # 刷新界面 + proxies = get_conf('proxies') + r = requests.get(url_tar, proxies=proxies) + with open(dst, 'wb+') as f: + f.write(r.content) + # <-------------- extract file -------------> + yield from update_ui_lastest_msg("下载完成", chatbot=chatbot, history=history) # 刷新界面 + from toolbox import extract_archive + extract_archive(file_path=dst, dest_dir=extract_dst) + return extract_dst, arxiv_id + + +def pdf2tex_project(pdf_file_path): + # Mathpix API credentials + app_id, app_key = get_conf('MATHPIX_APPID', 'MATHPIX_APPKEY') + headers = {"app_id": app_id, "app_key": app_key} + + # Step 1: Send PDF file for processing + options = { + "conversion_formats": {"tex.zip": True}, + "math_inline_delimiters": ["$", "$"], + "rm_spaces": True + } + + response = requests.post(url="https://api.mathpix.com/v3/pdf", + headers=headers, + data={"options_json": json.dumps(options)}, + files={"file": open(pdf_file_path, "rb")}) + + if response.ok: + pdf_id = response.json()["pdf_id"] + print(f"PDF processing initiated. PDF ID: {pdf_id}") + + # Step 2: Check processing status + while True: + conversion_response = requests.get(f"https://api.mathpix.com/v3/pdf/{pdf_id}", headers=headers) + conversion_data = conversion_response.json() + + if conversion_data["status"] == "completed": + print("PDF processing completed.") + break + elif conversion_data["status"] == "error": + print("Error occurred during processing.") + else: + print(f"Processing status: {conversion_data['status']}") + time.sleep(5) # wait for a few seconds before checking again + + # Step 3: Save results to local files + output_dir = os.path.join(os.path.dirname(pdf_file_path), 'mathpix_output') + if not os.path.exists(output_dir): + os.makedirs(output_dir) + + url = f"https://api.mathpix.com/v3/pdf/{pdf_id}.tex" + response = requests.get(url, headers=headers) + file_name_wo_dot = '_'.join(os.path.basename(pdf_file_path).split('.')[:-1]) + output_name = f"{file_name_wo_dot}.tex.zip" + output_path = os.path.join(output_dir, output_name) + with open(output_path, "wb") as output_file: + output_file.write(response.content) + print(f"tex.zip file saved at: {output_path}") + + import zipfile + unzip_dir = os.path.join(output_dir, file_name_wo_dot) + with zipfile.ZipFile(output_path, 'r') as zip_ref: + zip_ref.extractall(unzip_dir) + + return unzip_dir + + else: + print(f"Error sending PDF for processing. Status code: {response.status_code}") + return None + + +# =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= 插件主程序1 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= + + +@CatchException +def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): + # <-------------- information about this plugin -------------> + chatbot.append(["函数插件功能？", + "对整个Latex项目进行纠错, 用latex编译为PDF对修正处做高亮。函数插件贡献者: Binary-Husky。注意事项: 目前仅支持GPT3.5/GPT4，其他模型转化效果未知。目前对机器学习类文献转化效果最好，其他类型文献转化效果未知。仅在Windows系统进行了测试，其他操作系统表现未知。"]) + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + + # <-------------- more requirements -------------> + if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg") + more_req = plugin_kwargs.get("advanced_arg", "") + _switch_prompt_ = partial(switch_prompt, more_requirement=more_req) + + # <-------------- check deps -------------> + try: + import glob, os, time, subprocess + subprocess.Popen(['pdflatex', '-version']) + from .latex_fns.latex_actions import Latex精细分解与转化, 编译Latex + except Exception as e: + chatbot.append([f"解析项目: {txt}", + f"尝试执行Latex指令失败。Latex没有安装, 或者不在环境变量PATH中。安装方法https://tug.org/texlive/。报错信息\n\n```\n\n{trimmed_format_exc()}\n\n```\n\n"]) + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + + # <-------------- clear history and read input -------------> + history = [] + if os.path.exists(txt): + project_folder = txt + else: + if txt == "": txt = '空空如也的输入栏' + report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无权访问: {txt}") + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] + if len(file_manifest) == 0: + report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何.tex文件: {txt}") + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + + # <-------------- if is a zip/tar file -------------> + project_folder = desend_to_extracted_folder_if_exist(project_folder) + + # <-------------- move latex project away from temp folder -------------> + project_folder = move_project(project_folder, arxiv_id=None) + + # <-------------- if merge_translate_zh is already generated, skip gpt req -------------> + if not os.path.exists(project_folder + '/merge_proofread_en.tex'): + yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, + chatbot, history, system_prompt, mode='proofread_en', + switch_prompt=_switch_prompt_) + + # <-------------- compile PDF -------------> + success = yield from 编译Latex(chatbot, history, main_file_original='merge', + main_file_modified='merge_proofread_en', + work_folder_original=project_folder, work_folder_modified=project_folder, + work_folder=project_folder) + + # <-------------- zip PDF -------------> + zip_res = zip_result(project_folder) + if success: + chatbot.append((f"成功啦", '请查收结果（压缩包）...')) + yield from update_ui(chatbot=chatbot, history=history); + time.sleep(1) # 刷新界面 + promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) + else: + chatbot.append((f"失败了", + '虽然PDF生成失败了, 但请查收结果（压缩包）, 内含已经翻译的Tex文档, 也是可读的, 您可以到Github Issue区, 用该压缩包+对话历史存档进行反馈 ...')) + yield from update_ui(chatbot=chatbot, history=history); + time.sleep(1) # 刷新界面 + promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) + + # <-------------- we are done -------------> + return success + + +# =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= 插件主程序2 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= + +@CatchException +def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): + # <-------------- information about this plugin -------------> + chatbot.append([ + "函数插件功能？", + "对整个Latex项目进行翻译, 生成中文PDF。函数插件贡献者: Binary-Husky。注意事项: 此插件Windows支持最佳，Linux下必须使用Docker安装，详见项目主README.md。目前仅支持GPT3.5/GPT4，其他模型转化效果未知。目前对机器学习类文献转化效果最好，其他类型文献转化效果未知。"]) + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + + # <-------------- more requirements -------------> + if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg") + more_req = plugin_kwargs.get("advanced_arg", "") + no_cache = more_req.startswith("--no-cache") + if no_cache: more_req.lstrip("--no-cache") + allow_cache = not no_cache + _switch_prompt_ = partial(switch_prompt, more_requirement=more_req) + + # <-------------- check deps -------------> + try: + import glob, os, time, subprocess + subprocess.Popen(['pdflatex', '-version']) + from .latex_fns.latex_actions import Latex精细分解与转化, 编译Latex + except Exception as e: + chatbot.append([f"解析项目: {txt}", + f"尝试执行Latex指令失败。Latex没有安装, 或者不在环境变量PATH中。安装方法https://tug.org/texlive/。报错信息\n\n```\n\n{trimmed_format_exc()}\n\n```\n\n"]) + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + + # <-------------- clear history and read input -------------> + history = [] + try: + txt, arxiv_id = yield from arxiv_download(chatbot, history, txt, allow_cache) + except tarfile.ReadError as e: + yield from update_ui_lastest_msg( + "无法自动下载该论文的Latex源码，请前往arxiv打开此论文下载页面，点other Formats，然后download source手动下载latex源码包。接下来调用本地Latex翻译插件即可。", + chatbot=chatbot, history=history) + return + + if txt.endswith('.pdf'): + report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"发现已经存在翻译好的PDF文档") + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + + if os.path.exists(txt): + project_folder = txt + else: + if txt == "": txt = '空空如也的输入栏' + report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无法处理: {txt}") + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + + file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] + if len(file_manifest) == 0: + report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何.tex文件: {txt}") + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + + # <-------------- if is a zip/tar file -------------> + project_folder = desend_to_extracted_folder_if_exist(project_folder) + + # <-------------- move latex project away from temp folder -------------> + project_folder = move_project(project_folder, arxiv_id) + + # <-------------- if merge_translate_zh is already generated, skip gpt req -------------> + if not os.path.exists(project_folder + '/merge_translate_zh.tex'): + yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, + chatbot, history, system_prompt, mode='translate_zh', + switch_prompt=_switch_prompt_) + + # <-------------- compile PDF -------------> + success = yield from 编译Latex(chatbot, history, main_file_original='merge', + main_file_modified='merge_translate_zh', mode='translate_zh', + work_folder_original=project_folder, work_folder_modified=project_folder, + work_folder=project_folder) + + # <-------------- zip PDF -------------> + zip_res = zip_result(project_folder) + if success: + chatbot.append((f"成功啦", '请查收结果（压缩包）...')) + yield from update_ui(chatbot=chatbot, history=history); + time.sleep(1) # 刷新界面 + promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) + else: + chatbot.append((f"失败了", + '虽然PDF生成失败了, 但请查收结果（压缩包）, 内含已经翻译的Tex文档, 您可以到Github Issue区, 用该压缩包进行反馈。如系统是Linux，请检查系统字体（见Github wiki） ...')) + yield from update_ui(chatbot=chatbot, history=history); + time.sleep(1) # 刷新界面 + promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) + + # <-------------- we are done -------------> + return success + + +# =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- 插件主程序3 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= + +@CatchException +def PDF翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port): + # <-------------- information about this plugin -------------> + chatbot.append([ + "函数插件功能？", + "将PDF转换为Latex项目，翻译为中文后重新编译为PDF。函数插件贡献者: Marroh。注意事项: 此插件Windows支持最佳，Linux下必须使用Docker安装，详见项目主README.md。目前仅支持GPT3.5/GPT4，其他模型转化效果未知。目前对机器学习类文献转化效果最好，其他类型文献转化效果未知。"]) + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + + # <-------------- more requirements -------------> + if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg") + more_req = plugin_kwargs.get("advanced_arg", "") + no_cache = more_req.startswith("--no-cache") + if no_cache: more_req.lstrip("--no-cache") + allow_cache = not no_cache + _switch_prompt_ = partial(switch_prompt, more_requirement=more_req) + + # <-------------- check deps -------------> + try: + import glob, os, time, subprocess + subprocess.Popen(['pdflatex', '-version']) + from .latex_fns.latex_actions import Latex精细分解与转化, 编译Latex + except Exception as e: + chatbot.append([f"解析项目: {txt}", + f"尝试执行Latex指令失败。Latex没有安装, 或者不在环境变量PATH中。安装方法https://tug.org/texlive/。报错信息\n\n```\n\n{trimmed_format_exc()}\n\n```\n\n"]) + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + + # <-------------- clear history and read input -------------> + if os.path.exists(txt): + project_folder = txt + else: + if txt == "": txt = '空空如也的输入栏' + report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到本地项目或无法处理: {txt}") + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + + file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.pdf', recursive=True)] + if len(file_manifest) == 0: + report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何.pdf文件: {txt}") + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + if len(file_manifest) != 1: + report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"不支持同时处理多个pdf文件: {txt}") + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + app_id, app_key = get_conf('MATHPIX_APPID', 'MATHPIX_APPKEY') + if len(app_id) == 0 or len(app_key) == 0: + report_exception(chatbot, history, a=f"请配置 MATHPIX_APPID 和 MATHPIX_APPKEY") + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + + # <-------------- convert pdf into tex -------------> + project_folder = pdf2tex_project(file_manifest[0]) + + # Translate English Latex to Chinese Latex, and compile it + file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] + if len(file_manifest) == 0: + report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何.tex文件: {txt}") + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + return + + # <-------------- if is a zip/tar file -------------> + project_folder = desend_to_extracted_folder_if_exist(project_folder) + + # <-------------- move latex project away from temp folder -------------> + project_folder = move_project(project_folder) + + # <-------------- if merge_translate_zh is already generated, skip gpt req -------------> + if not os.path.exists(project_folder + '/merge_translate_zh.tex'): + yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, + chatbot, history, system_prompt, mode='translate_zh', + switch_prompt=_switch_prompt_) + + # <-------------- compile PDF -------------> + success = yield from 编译Latex(chatbot, history, main_file_original='merge', + main_file_modified='merge_translate_zh', mode='translate_zh', + work_folder_original=project_folder, work_folder_modified=project_folder, + work_folder=project_folder) + + # <-------------- zip PDF -------------> + zip_res = zip_result(project_folder) + if success: + chatbot.append((f"成功啦", '请查收结果（压缩包）...')) + yield from update_ui(chatbot=chatbot, history=history); + time.sleep(1) # 刷新界面 + promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) + else: + chatbot.append((f"失败了", + '虽然PDF生成失败了, 但请查收结果（压缩包）, 内含已经翻译的Tex文档, 您可以到Github Issue区, 用该压缩包进行反馈。如系统是Linux，请检查系统字体（见Github wiki） ...')) + yield from update_ui(chatbot=chatbot, history=history); + time.sleep(1) # 刷新界面 + promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) + + # <-------------- we are done -------------> + return success diff --git a/crazy_functions/Latex输出PDF结果.py b/crazy_functions/Latex输出PDF结果.py deleted file mode 100644 index c520006..0000000 --- a/crazy_functions/Latex输出PDF结果.py +++ /dev/null @@ -1,313 +0,0 @@ -from toolbox import update_ui, trimmed_format_exc, get_conf, get_log_folder, promote_file_to_downloadzone -from toolbox import CatchException, report_exception, update_ui_lastest_msg, zip_result, gen_time_str -from functools import partial -import glob, os, requests, time, tarfile -pj = os.path.join -ARXIV_CACHE_DIR = os.path.expanduser(f"~/arxiv_cache/") - -# =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- 工具函数 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=- -# 专业词汇声明 = 'If the term "agent" is used in this section, it should be translated to "智能体". ' -def switch_prompt(pfg, mode, more_requirement): - """ - Generate prompts and system prompts based on the mode for proofreading or translating. - Args: - - pfg: Proofreader or Translator instance. - - mode: A string specifying the mode, either 'proofread' or 'translate_zh'. - - Returns: - - inputs_array: A list of strings containing prompts for users to respond to. - - sys_prompt_array: A list of strings containing prompts for system prompts. - """ - n_split = len(pfg.sp_file_contents) - if mode == 'proofread_en': - inputs_array = [r"Below is a section from an academic paper, proofread this section." + - r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " + more_requirement + - r"Answer me only with the revised text:" + - f"\n\n{frag}" for frag in pfg.sp_file_contents] - sys_prompt_array = ["You are a professional academic paper writer." for _ in range(n_split)] - elif mode == 'translate_zh': - inputs_array = [r"Below is a section from an English academic paper, translate it into Chinese. " + more_requirement + - r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " + - r"Answer me only with the translated text:" + - f"\n\n{frag}" for frag in pfg.sp_file_contents] - sys_prompt_array = ["You are a professional translator." for _ in range(n_split)] - else: - assert False, "未知指令" - return inputs_array, sys_prompt_array - -def desend_to_extracted_folder_if_exist(project_folder): - """ - Descend into the extracted folder if it exists, otherwise return the original folder. - - Args: - - project_folder: A string specifying the folder path. - - Returns: - - A string specifying the path to the extracted folder, or the original folder if there is no extracted folder. - """ - maybe_dir = [f for f in glob.glob(f'{project_folder}/*') if os.path.isdir(f)] - if len(maybe_dir) == 0: return project_folder - if maybe_dir[0].endswith('.extract'): return maybe_dir[0] - return project_folder - -def move_project(project_folder, arxiv_id=None): - """ - Create a new work folder and copy the project folder to it. - - Args: - - project_folder: A string specifying the folder path of the project. - - Returns: - - A string specifying the path to the new work folder. - """ - import shutil, time - time.sleep(2) # avoid time string conflict - if arxiv_id is not None: - new_workfolder = pj(ARXIV_CACHE_DIR, arxiv_id, 'workfolder') - else: - new_workfolder = f'{get_log_folder()}/{gen_time_str()}' - try: - shutil.rmtree(new_workfolder) - except: - pass - - # align subfolder if there is a folder wrapper - items = glob.glob(pj(project_folder,'*')) - items = [item for item in items if os.path.basename(item)!='__MACOSX'] - if len(glob.glob(pj(project_folder,'*.tex'))) == 0 and len(items) == 1: - if os.path.isdir(items[0]): project_folder = items[0] - - shutil.copytree(src=project_folder, dst=new_workfolder) - return new_workfolder - -def arxiv_download(chatbot, history, txt, allow_cache=True): - def check_cached_translation_pdf(arxiv_id): - translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'translation') - if not os.path.exists(translation_dir): - os.makedirs(translation_dir) - target_file = pj(translation_dir, 'translate_zh.pdf') - if os.path.exists(target_file): - promote_file_to_downloadzone(target_file, rename_file=None, chatbot=chatbot) - target_file_compare = pj(translation_dir, 'comparison.pdf') - if os.path.exists(target_file_compare): - promote_file_to_downloadzone(target_file_compare, rename_file=None, chatbot=chatbot) - return target_file - return False - def is_float(s): - try: - float(s) - return True - except ValueError: - return False - if ('.' in txt) and ('/' not in txt) and is_float(txt): # is arxiv ID - txt = 'https://arxiv.org/abs/' + txt.strip() - if ('.' in txt) and ('/' not in txt) and is_float(txt[:10]): # is arxiv ID - txt = 'https://arxiv.org/abs/' + txt[:10] - if not txt.startswith('https://arxiv.org'): - return txt, None # 是本地文件，跳过下载 - - # <-------------- inspect format -------------> - chatbot.append([f"检测到arxiv文档连接", '尝试下载 ...']) - yield from update_ui(chatbot=chatbot, history=history) - time.sleep(1) # 刷新界面 - - url_ = txt # https://arxiv.org/abs/1707.06690 - if not txt.startswith('https://arxiv.org/abs/'): - msg = f"解析arxiv网址失败, 期望格式例如: https://arxiv.org/abs/1707.06690。实际得到格式: {url_}。" - yield from update_ui_lastest_msg(msg, chatbot=chatbot, history=history) # 刷新界面 - return msg, None - # <-------------- set format -------------> - arxiv_id = url_.split('/abs/')[-1] - if 'v' in arxiv_id: arxiv_id = arxiv_id[:10] - cached_translation_pdf = check_cached_translation_pdf(arxiv_id) - if cached_translation_pdf and allow_cache: return cached_translation_pdf, arxiv_id - - url_tar = url_.replace('/abs/', '/e-print/') - translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'e-print') - extract_dst = pj(ARXIV_CACHE_DIR, arxiv_id, 'extract') - os.makedirs(translation_dir, exist_ok=True) - - # <-------------- download arxiv source file -------------> - dst = pj(translation_dir, arxiv_id+'.tar') - if os.path.exists(dst): - yield from update_ui_lastest_msg("调用缓存", chatbot=chatbot, history=history) # 刷新界面 - else: - yield from update_ui_lastest_msg("开始下载", chatbot=chatbot, history=history) # 刷新界面 - proxies = get_conf('proxies') - r = requests.get(url_tar, proxies=proxies) - with open(dst, 'wb+') as f: - f.write(r.content) - # <-------------- extract file -------------> - yield from update_ui_lastest_msg("下载完成", chatbot=chatbot, history=history) # 刷新界面 - from toolbox import extract_archive - extract_archive(file_path=dst, dest_dir=extract_dst) - return extract_dst, arxiv_id -# =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= 插件主程序1 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= - - -@CatchException -def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): - # <-------------- information about this plugin -------------> - chatbot.append([ "函数插件功能？", - "对整个Latex项目进行纠错, 用latex编译为PDF对修正处做高亮。函数插件贡献者: Binary-Husky。注意事项: 目前仅支持GPT3.5/GPT4，其他模型转化效果未知。目前对机器学习类文献转化效果最好，其他类型文献转化效果未知。仅在Windows系统进行了测试，其他操作系统表现未知。"]) - yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 - - # <-------------- more requirements -------------> - if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg") - more_req = plugin_kwargs.get("advanced_arg", "") - _switch_prompt_ = partial(switch_prompt, more_requirement=more_req) - - # <-------------- check deps -------------> - try: - import glob, os, time, subprocess - subprocess.Popen(['pdflatex', '-version']) - from .latex_fns.latex_actions import Latex精细分解与转化, 编译Latex - except Exception as e: - chatbot.append([ f"解析项目: {txt}", - f"尝试执行Latex指令失败。Latex没有安装, 或者不在环境变量PATH中。安装方法https://tug.org/texlive/。报错信息\n\n```\n\n{trimmed_format_exc()}\n\n```\n\n"]) - yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 - return - - - # <-------------- clear history and read input -------------> - history = [] - if os.path.exists(txt): - project_folder = txt - else: - if txt == "": txt = '空空如也的输入栏' - report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}") - yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 - return - file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] - if len(file_manifest) == 0: - report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}") - yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 - return - - - # <-------------- if is a zip/tar file -------------> - project_folder = desend_to_extracted_folder_if_exist(project_folder) - - - # <-------------- move latex project away from temp folder -------------> - project_folder = move_project(project_folder, arxiv_id=None) - - - # <-------------- if merge_translate_zh is already generated, skip gpt req -------------> - if not os.path.exists(project_folder + '/merge_proofread_en.tex'): - yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, - chatbot, history, system_prompt, mode='proofread_en', switch_prompt=_switch_prompt_) - - - # <-------------- compile PDF -------------> - success = yield from 编译Latex(chatbot, history, main_file_original='merge', main_file_modified='merge_proofread_en', - work_folder_original=project_folder, work_folder_modified=project_folder, work_folder=project_folder) - - - # <-------------- zip PDF -------------> - zip_res = zip_result(project_folder) - if success: - chatbot.append((f"成功啦", '请查收结果（压缩包）...')) - yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面 - promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) - else: - chatbot.append((f"失败了", '虽然PDF生成失败了, 但请查收结果（压缩包）, 内含已经翻译的Tex文档, 也是可读的, 您可以到Github Issue区, 用该压缩包+对话历史存档进行反馈 ...')) - yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面 - promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) - - # <-------------- we are done -------------> - return success - -# =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= 插件主程序2 =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= - -@CatchException -def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request): - # <-------------- information about this plugin -------------> - chatbot.append([ - "函数插件功能？", - "对整个Latex项目进行翻译, 生成中文PDF。函数插件贡献者: Binary-Husky。注意事项: 此插件Windows支持最佳，Linux下必须使用Docker安装，详见项目主README.md。目前仅支持GPT3.5/GPT4，其他模型转化效果未知。目前对机器学习类文献转化效果最好，其他类型文献转化效果未知。"]) - yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 - - # <-------------- more requirements -------------> - if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg") - more_req = plugin_kwargs.get("advanced_arg", "") - no_cache = more_req.startswith("--no-cache") - if no_cache: more_req.lstrip("--no-cache") - allow_cache = not no_cache - _switch_prompt_ = partial(switch_prompt, more_requirement=more_req) - - # <-------------- check deps -------------> - try: - import glob, os, time, subprocess - subprocess.Popen(['pdflatex', '-version']) - from .latex_fns.latex_actions import Latex精细分解与转化, 编译Latex - except Exception as e: - chatbot.append([ f"解析项目: {txt}", - f"尝试执行Latex指令失败。Latex没有安装, 或者不在环境变量PATH中。安装方法https://tug.org/texlive/。报错信息\n\n```\n\n{trimmed_format_exc()}\n\n```\n\n"]) - yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 - return - - - # <-------------- clear history and read input -------------> - history = [] - try: - txt, arxiv_id = yield from arxiv_download(chatbot, history, txt, allow_cache) - except tarfile.ReadError as e: - yield from update_ui_lastest_msg( - "无法自动下载该论文的Latex源码，请前往arxiv打开此论文下载页面，点other Formats，然后download source手动下载latex源码包。接下来调用本地Latex翻译插件即可。", - chatbot=chatbot, history=history) - return - - if txt.endswith('.pdf'): - report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"发现已经存在翻译好的PDF文档") - yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 - return - - - if os.path.exists(txt): - project_folder = txt - else: - if txt == "": txt = '空空如也的输入栏' - report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无法处理: {txt}") - yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 - return - - file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] - if len(file_manifest) == 0: - report_exception(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}") - yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 - return - - - # <-------------- if is a zip/tar file -------------> - project_folder = desend_to_extracted_folder_if_exist(project_folder) - - - # <-------------- move latex project away from temp folder -------------> - project_folder = move_project(project_folder, arxiv_id) - - - # <-------------- if merge_translate_zh is already generated, skip gpt req -------------> - if not os.path.exists(project_folder + '/merge_translate_zh.tex'): - yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, - chatbot, history, system_prompt, mode='translate_zh', switch_prompt=_switch_prompt_) - - - # <-------------- compile PDF -------------> - success = yield from 编译Latex(chatbot, history, main_file_original='merge', main_file_modified='merge_translate_zh', mode='translate_zh', - work_folder_original=project_folder, work_folder_modified=project_folder, work_folder=project_folder) - - # <-------------- zip PDF -------------> - zip_res = zip_result(project_folder) - if success: - chatbot.append((f"成功啦", '请查收结果（压缩包）...')) - yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面 - promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) - else: - chatbot.append((f"失败了", '虽然PDF生成失败了, 但请查收结果（压缩包）, 内含已经翻译的Tex文档, 您可以到Github Issue区, 用该压缩包进行反馈。如系统是Linux，请检查系统字体（见Github wiki） ...')) - yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面 - promote_file_to_downloadzone(file=zip_res, chatbot=chatbot) - - - # <-------------- we are done -------------> - return success diff --git a/crazy_functions/pdf_fns/parse_word.py b/crazy_functions/pdf_fns/parse_word.py new file mode 100644 index 0000000..64d07dc --- /dev/null +++ b/crazy_functions/pdf_fns/parse_word.py @@ -0,0 +1,85 @@ +from crazy_functions.crazy_utils import read_and_clean_pdf_text, get_files_from_everything +import os +import re +def extract_text_from_files(txt, chatbot, history): + """ + 查找pdf/md/word并获取文本内容并返回状态以及文本 + + 输入参数 Args: + chatbot: chatbot inputs and outputs （用户界面对话窗口句柄，用于数据流可视化） + history (list): List of chat history （历史，对话历史列表） + + 输出 Returns: + 文件是否存在(bool) + final_result(list):文本内容 + page_one(list):第一页内容/摘要 + file_manifest(list):文件路径 + excption(string):需要用户手动处理的信息,如没出错则保持为空 + """ + + final_result = [] + page_one = [] + file_manifest = [] + excption = "" + + if txt == "": + final_result.append(txt) + return False, final_result, page_one, file_manifest, excption #如输入区内容不是文件则直接返回输入区内容 + + #查找输入区内容中的文件 + file_pdf,pdf_manifest,folder_pdf = get_files_from_everything(txt, '.pdf') + file_md,md_manifest,folder_md = get_files_from_everything(txt, '.md') + file_word,word_manifest,folder_word = get_files_from_everything(txt, '.docx') + file_doc,doc_manifest,folder_doc = get_files_from_everything(txt, '.doc') + + if file_doc: + excption = "word" + return False, final_result, page_one, file_manifest, excption + + file_num = len(pdf_manifest) + len(md_manifest) + len(word_manifest) + if file_num == 0: + final_result.append(txt) + return False, final_result, page_one, file_manifest, excption #如输入区内容不是文件则直接返回输入区内容 + + if file_pdf: + try: # 尝试导入依赖，如果缺少依赖，则给出安装建议 + import fitz + except: + excption = "pdf" + return False, final_result, page_one, file_manifest, excption + for index, fp in enumerate(pdf_manifest): + file_content, pdf_one = read_and_clean_pdf_text(fp) # （尝试）按照章节切割PDF + file_content = file_content.encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars + pdf_one = str(pdf_one).encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars + final_result.append(file_content) + page_one.append(pdf_one) + file_manifest.append(os.path.relpath(fp, folder_pdf)) + + if file_md: + for index, fp in enumerate(md_manifest): + with open(fp, 'r', encoding='utf-8', errors='replace') as f: + file_content = f.read() + file_content = file_content.encode('utf-8', 'ignore').decode() + headers = re.findall(r'^#\s(.*)$', file_content, re.MULTILINE) #接下来提取md中的一级/二级标题作为摘要 + if len(headers) > 0: + page_one.append("\n".join(headers)) #合并所有的标题,以换行符分割 + else: + page_one.append("") + final_result.append(file_content) + file_manifest.append(os.path.relpath(fp, folder_md)) + + if file_word: + try: # 尝试导入依赖，如果缺少依赖，则给出安装建议 + from docx import Document + except: + excption = "word_pip" + return False, final_result, page_one, file_manifest, excption + for index, fp in enumerate(word_manifest): + doc = Document(fp) + file_content = '\n'.join([p.text for p in doc.paragraphs]) + file_content = file_content.encode('utf-8', 'ignore').decode() + page_one.append(file_content[:200]) + final_result.append(file_content) + file_manifest.append(os.path.relpath(fp, folder_word)) + + return True, final_result, page_one, file_manifest, excption \ No newline at end of file diff --git a/crazy_functions/生成多种Mermaid图表.py b/crazy_functions/生成多种Mermaid图表.py index 4c484fc..dc01e94 100644 --- a/crazy_functions/生成多种Mermaid图表.py +++ b/crazy_functions/生成多种Mermaid图表.py @@ -1,6 +1,5 @@ from toolbox import CatchException, update_ui, report_exception from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive -from .crazy_utils import read_and_clean_pdf_text import datetime #以下是每类图表的PROMPT @@ -162,7 +161,7 @@ mindmap ``` """ -def 解析历史输入(history,llm_kwargs,chatbot,plugin_kwargs): +def 解析历史输入(history,llm_kwargs,file_manifest,chatbot,plugin_kwargs): ############################## <第 0 步，切割输入> ################################## # 借用PDF切割中的函数对文本进行切割 TOKEN_LIMIT_PER_FRAGMENT = 2500 @@ -170,8 +169,6 @@ def 解析历史输入(history,llm_kwargs,chatbot,plugin_kwargs): from crazy_functions.pdf_fns.breakdown_txt import breakdown_text_to_satisfy_token_limit txt = breakdown_text_to_satisfy_token_limit(txt=txt, limit=TOKEN_LIMIT_PER_FRAGMENT, llm_model=llm_kwargs['llm_model']) ############################## <第 1 步，迭代地历遍整个文章，提取精炼信息> ################################## - i_say_show_user = f'首先你从历史记录或文件中提取摘要。'; gpt_say = "[Local Message] 收到。" # 用户提示 - chatbot.append([i_say_show_user, gpt_say]); yield from update_ui(chatbot=chatbot, history=history) # 更新UI results = [] MAX_WORD_TOTAL = 4096 n_txt = len(txt) @@ -179,7 +176,7 @@ def 解析历史输入(history,llm_kwargs,chatbot,plugin_kwargs): if n_txt >= 20: print('文章极长，不能达到预期效果') for i in range(n_txt): NUM_OF_WORD = MAX_WORD_TOTAL // n_txt - i_say = f"Read this section, recapitulate the content of this section with less than {NUM_OF_WORD} words: {txt[i]}" + i_say = f"Read this section, recapitulate the content of this section with less than {NUM_OF_WORD} words in Chinese: {txt[i]}" i_say_show_user = f"[{i+1}/{n_txt}] Read this section, recapitulate the content of this section with less than {NUM_OF_WORD} words: {txt[i][:200]} ...." gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(i_say, i_say_show_user, # i_say=真正给chatgpt的提问， i_say_show_user=给用户看的提问 llm_kwargs, chatbot, @@ -232,34 +229,10 @@ def 解析历史输入(history,llm_kwargs,chatbot,plugin_kwargs): inputs=i_say, inputs_show_user=i_say_show_user, llm_kwargs=llm_kwargs, chatbot=chatbot, history=[], - sys_prompt="你精通使用mermaid语法来绘制图表,首先确保语法正确,其次避免在mermaid语法中使用不允许的字符,此外也应当分考虑图表的可读性。" + sys_prompt="" ) history.append(gpt_say) yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新 - -def 输入区文件处理(txt): - if txt == "": return False, txt - success = True - import glob - from .crazy_utils import get_files_from_everything - file_pdf,pdf_manifest,folder_pdf = get_files_from_everything(txt, '.pdf') - file_md,md_manifest,folder_md = get_files_from_everything(txt, '.md') - if len(pdf_manifest) == 0 and len(md_manifest) == 0: - return False, txt #如输入区内容不是文件则直接返回输入区内容 - - final_result = "" - if file_pdf: - for index, fp in enumerate(pdf_manifest): - file_content, page_one = read_and_clean_pdf_text(fp) # （尝试）按照章节切割PDF - file_content = file_content.encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars - final_result += "\n" + file_content - if file_md: - for index, fp in enumerate(md_manifest): - with open(fp, 'r', encoding='utf-8', errors='replace') as f: - file_content = f.read() - file_content = file_content.encode('utf-8', 'ignore').decode() - final_result += "\n" + file_content - return True, final_result @CatchException def 生成多种Mermaid图表(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port): @@ -277,26 +250,47 @@ def 生成多种Mermaid图表(txt, llm_kwargs, plugin_kwargs, chatbot, history, # 基本信息：功能、贡献者 chatbot.append([ "函数插件功能？", - "根据当前聊天历史或文件中(文件内容优先)绘制多种mermaid图表，将会由对话模型首先判断适合的图表类型，随后绘制图表。\ + "根据当前聊天历史或指定的路径文件(文件内容优先)绘制多种mermaid图表，将会由对话模型首先判断适合的图表类型，随后绘制图表。\ \n您也可以使用插件参数指定绘制的图表类型,函数插件贡献者: Menghuan1918"]) yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 - - # 尝试导入依赖，如果缺少依赖，则给出安装建议 - try: - import fitz - except: - report_exception(chatbot, history, - a = f"解析项目: {txt}", - b = f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade pymupdf```。") - yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 - return if os.path.exists(txt): #如输入区无内容则直接解析历史记录 - file_exist, txt = 输入区文件处理(txt) + from crazy_functions.pdf_fns.parse_word import extract_text_from_files + file_exist, final_result, page_one, file_manifest, excption = extract_text_from_files(txt, chatbot, history) else: file_exist = False + excption = "" + file_manifest = [] - if file_exist : history = [] #如输入区内容为文件则清空历史记录 - history.append(txt) #将解析后的txt传递加入到历史中 - - yield from 解析历史输入(history,llm_kwargs,chatbot,plugin_kwargs) \ No newline at end of file + if excption != "": + if excption == "word": + report_exception(chatbot, history, + a = f"解析项目: {txt}", + b = f"找到了.doc文件，但是该文件格式不被支持，请先转化为.docx格式。") + + elif excption == "pdf": + report_exception(chatbot, history, + a = f"解析项目: {txt}", + b = f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade pymupdf```。") + + elif excption == "word_pip": + report_exception(chatbot, history, + a=f"解析项目: {txt}", + b=f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade python-docx pywin32```。") + + yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 + + else: + if not file_exist: + history.append(txt) #如输入区不是文件则将输入区内容加入历史记录 + i_say_show_user = f'首先你从历史记录中提取摘要。'; gpt_say = "[Local Message] 收到。" # 用户提示 + chatbot.append([i_say_show_user, gpt_say]); yield from update_ui(chatbot=chatbot, history=history) # 更新UI + yield from 解析历史输入(history,llm_kwargs,file_manifest,chatbot,plugin_kwargs) + else: + file_num = len(file_manifest) + for i in range(file_num): #依次处理文件 + i_say_show_user = f"[{i+1}/{file_num}]处理文件{file_manifest[i]}"; gpt_say = "[Local Message] 收到。" # 用户提示 + chatbot.append([i_say_show_user, gpt_say]); yield from update_ui(chatbot=chatbot, history=history) # 更新UI + history = [] #如输入区内容为文件则清空历史记录 + history.append(final_result[i]) + yield from 解析历史输入(history,llm_kwargs,file_manifest,chatbot,plugin_kwargs) \ No newline at end of file diff --git a/docs/translate_english.json b/docs/translate_english.json index 3920e1f..3a248fe 100644 --- a/docs/translate_english.json +++ b/docs/translate_english.json @@ -1668,7 +1668,7 @@ "Markdown翻译指定语言": "TranslateMarkdownToSpecifiedLanguage", "Langchain知识库": "LangchainKnowledgeBase", "Latex英文纠错加PDF对比": "CorrectEnglishInLatexWithPDFComparison", - "Latex输出PDF结果": "OutputPDFFromLatex", + "Latex输出PDF": "OutputPDFFromLatex", "Latex翻译中文并重新编译PDF": "TranslateChineseToEnglishInLatexAndRecompilePDF", "sprint亮靛": "SprintIndigo", "寻找Latex主文件": "FindLatexMainFile", diff --git a/docs/translate_japanese.json b/docs/translate_japanese.json index 142e4a6..a70f5df 100644 --- a/docs/translate_japanese.json +++ b/docs/translate_japanese.json @@ -1492,7 +1492,7 @@ "交互功能模板函数": "InteractiveFunctionTemplateFunction", "交互功能函数模板": "InteractiveFunctionFunctionTemplate", "Latex英文纠错加PDF对比": "LatexEnglishErrorCorrectionWithPDFComparison", - "Latex输出PDF结果": "LatexOutputPDFResult", + "Latex输出PDF": "LatexOutputPDFResult", "Latex翻译中文并重新编译PDF": "TranslateChineseAndRecompilePDF", "语音助手": "VoiceAssistant", "微调数据集生成": "FineTuneDatasetGeneration", diff --git a/docs/translate_std.json b/docs/translate_std.json index 961e595..46ec5dc 100644 --- a/docs/translate_std.json +++ b/docs/translate_std.json @@ -16,7 +16,7 @@ "批量Markdown翻译": "BatchTranslateMarkdown", "连接bing搜索回答问题": "ConnectBingSearchAnswerQuestion", "Langchain知识库": "LangchainKnowledgeBase", - "Latex输出PDF结果": "OutputPDFFromLatex", + "Latex输出PDF": "OutputPDFFromLatex", "把字符太少的块清除为回车": "ClearBlocksWithTooFewCharactersToNewline", "Latex精细分解与转化": "DecomposeAndConvertLatex", "解析一个C项目的头文件": "ParseCProjectHeaderFiles", diff --git a/docs/translate_traditionalchinese.json b/docs/translate_traditionalchinese.json index 4edc65d..3378eda 100644 --- a/docs/translate_traditionalchinese.json +++ b/docs/translate_traditionalchinese.json @@ -1468,7 +1468,7 @@ "交互功能模板函数": "InteractiveFunctionTemplateFunctions", "交互功能函数模板": "InteractiveFunctionFunctionTemplates", "Latex英文纠错加PDF对比": "LatexEnglishCorrectionWithPDFComparison", - "Latex输出PDF结果": "OutputPDFFromLatex", + "Latex输出PDF": "OutputPDFFromLatex", "Latex翻译中文并重新编译PDF": "TranslateLatexToChineseAndRecompilePDF", "语音助手": "VoiceAssistant", "微调数据集生成": "FineTuneDatasetGeneration", diff --git a/docs/waifu_plugin/autoload.js b/docs/waifu_plugin/autoload.js deleted file mode 100644 index d064877..0000000 --- a/docs/waifu_plugin/autoload.js +++ /dev/null @@ -1,30 +0,0 @@ -try { - $("").attr({href: "file=docs/waifu_plugin/waifu.css", rel: "stylesheet", type: "text/css"}).appendTo('head'); - $('body').append('
'); - $.ajax({url: "file=docs/waifu_plugin/waifu-tips.js", dataType:"script", cache: true, success: function() { - $.ajax({url: "file=docs/waifu_plugin/live2d.js", dataType:"script", cache: true, success: function() { - /* 可直接修改部分参数 */ - live2d_settings['hitokotoAPI'] = "hitokoto.cn"; // 一言 API - live2d_settings['modelId'] = 5; // 默认模型 ID - live2d_settings['modelTexturesId'] = 1; // 默认材质 ID - live2d_settings['modelStorage'] = false; // 不储存模型 ID - live2d_settings['waifuSize'] = '210x187'; - live2d_settings['waifuTipsSize'] = '187x52'; - live2d_settings['canSwitchModel'] = true; - live2d_settings['canSwitchTextures'] = true; - live2d_settings['canSwitchHitokoto'] = false; - live2d_settings['canTakeScreenshot'] = false; - live2d_settings['canTurnToHomePage'] = false; - live2d_settings['canTurnToAboutPage'] = false; - live2d_settings['showHitokoto'] = false; // 显示一言 - live2d_settings['showF12Status'] = false; // 显示加载状态 - live2d_settings['showF12Message'] = false; // 显示看板娘消息 - live2d_settings['showF12OpenMsg'] = false; // 显示控制台打开提示 - live2d_settings['showCopyMessage'] = false; // 显示 复制内容 提示 - live2d_settings['showWelcomeMessage'] = true; // 显示进入面页欢迎词 - - /* 在 initModel 前添加 */ - initModel("file=docs/waifu_plugin/waifu-tips.json"); - }}); - }}); -} catch(err) { console.log("[Error] JQuery is not defined.") } diff --git a/main.py b/main.py index d715f30..6339e1c 100644 --- a/main.py +++ b/main.py @@ -15,22 +15,22 @@ help_menu_description = \ def main(): import gradio as gr - if gr.__version__ not in ['3.32.6', '3.32.7', '3.32.8']: + if gr.__version__ not in ['3.32.8']: raise ModuleNotFoundError("使用项目内置Gradio获取最优体验! 请运行 `pip install -r requirements.txt` 指令安装内置Gradio及其他依赖, 详情信息见requirements.txt.") from request_llms.bridge_all import predict from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, load_chat_cookies, DummyWith # 建议您复制一个config_private.py放自己的秘密, 如API和代理网址 proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION = get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION') CHATBOT_HEIGHT, LAYOUT, AVAIL_LLM_MODELS, AUTO_CLEAR_TXT = get_conf('CHATBOT_HEIGHT', 'LAYOUT', 'AVAIL_LLM_MODELS', 'AUTO_CLEAR_TXT') - ENABLE_AUDIO, AUTO_CLEAR_TXT, PATH_LOGGING, AVAIL_THEMES, THEME = get_conf('ENABLE_AUDIO', 'AUTO_CLEAR_TXT', 'PATH_LOGGING', 'AVAIL_THEMES', 'THEME') + ENABLE_AUDIO, AUTO_CLEAR_TXT, PATH_LOGGING, AVAIL_THEMES, THEME, ADD_WAIFU = get_conf('ENABLE_AUDIO', 'AUTO_CLEAR_TXT', 'PATH_LOGGING', 'AVAIL_THEMES', 'THEME', 'ADD_WAIFU') DARK_MODE, NUM_CUSTOM_BASIC_BTN, SSL_KEYFILE, SSL_CERTFILE = get_conf('DARK_MODE', 'NUM_CUSTOM_BASIC_BTN', 'SSL_KEYFILE', 'SSL_CERTFILE') INIT_SYS_PROMPT = get_conf('INIT_SYS_PROMPT') # 如果WEB_PORT是-1, 则随机选取WEB端口 PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT from check_proxy import get_current_version - from themes.theme import adjust_theme, advanced_css, theme_declaration - from themes.theme import js_code_for_css_changing, js_code_for_darkmode_init, js_code_for_toggle_darkmode, js_code_for_persistent_cookie_init + from themes.theme import adjust_theme, advanced_css, theme_declaration, js_code_clear, js_code_reset, js_code_show_or_hide, js_code_show_or_hide_group2 + from themes.theme import js_code_for_css_changing, js_code_for_toggle_darkmode, js_code_for_persistent_cookie_init from themes.theme import load_dynamic_theme, to_cookie_str, from_cookie_str, init_cookie title_html = f"

GPT 学术优化 {get_current_version()}

{theme_declaration}" @@ -76,7 +76,7 @@ def main(): predefined_btns = {} with gr.Blocks(title="GPT 学术优化", theme=set_theme, analytics_enabled=False, css=advanced_css) as demo: gr.HTML(title_html) - secret_css, dark_mode, persistent_cookie = gr.Textbox(visible=False), gr.Textbox(DARK_MODE, visible=False), gr.Textbox(visible=False) + secret_css, dark_mode, py_pickle_cookie = gr.Textbox(visible=False), gr.Textbox(DARK_MODE, visible=False), gr.Textbox(visible=False) cookies = gr.State(load_chat_cookies()) with gr_L1(): with gr_L2(scale=2, elem_id="gpt-chat"): @@ -98,6 +98,7 @@ def main(): audio_mic = gr.Audio(source="microphone", type="numpy", elem_id="elem_audio", streaming=True, show_label=False).style(container=False) with gr.Row(): status = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行。当前模型: {LLM_MODEL} \n {proxy_info}", elem_id="state-panel") + with gr.Accordion("基础功能区", open=True, elem_id="basic-panel") as area_basic_fn: with gr.Row(): for k in range(NUM_CUSTOM_BASIC_BTN): @@ -142,7 +143,6 @@ def main(): with gr.Accordion("点击展开“文件下载区”。", open=False) as area_file_up: file_upload = gr.Files(label="任何文件, 推荐上传压缩文件(zip, tar)", file_count="multiple", elem_id="elem_upload") - with gr.Floating(init_x="0%", init_y="0%", visible=True, width=None, drag="forbidden", elem_id="tooltip"): with gr.Row(): with gr.Tab("上传文件", elem_id="interact-panel"): @@ -158,10 +158,11 @@ def main(): with gr.Tab("界面外观", elem_id="interact-panel"): theme_dropdown = gr.Dropdown(AVAIL_THEMES, value=THEME, label="更换UI主题").style(container=False) - checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区", "浮动输入区", "输入清除键", "插件参数区"], - value=["基础功能区", "函数插件区"], label="显示/隐藏功能区", elem_id='cbs').style(container=False) - checkboxes_2 = gr.CheckboxGroup(["自定义菜单"], - value=[], label="显示/隐藏自定义菜单", elem_id='cbsc').style(container=False) + checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区", "浮动输入区", "输入清除键", "插件参数区"], value=["基础功能区", "函数插件区"], label="显示/隐藏功能区", elem_id='cbs').style(container=False) + opt = ["自定义菜单"] + value=[] + if ADD_WAIFU: opt += ["添加Live2D形象"]; value += ["添加Live2D形象"] + checkboxes_2 = gr.CheckboxGroup(opt, value=value, label="显示/隐藏自定义菜单", elem_id='cbsc').style(container=False) dark_mode_btn = gr.Button("切换界面明暗 ☀", variant="secondary").style(size="sm") dark_mode_btn.click(None, None, None, _js=js_code_for_toggle_darkmode) with gr.Tab("帮助", elem_id="interact-panel"): @@ -178,7 +179,7 @@ def main(): submitBtn2 = gr.Button("提交", variant="primary"); submitBtn2.style(size="sm") resetBtn2 = gr.Button("重置", variant="secondary"); resetBtn2.style(size="sm") stopBtn2 = gr.Button("停止", variant="secondary"); stopBtn2.style(size="sm") - clearBtn2 = gr.Button("清除", variant="secondary", visible=False); clearBtn2.style(size="sm") + clearBtn2 = gr.Button("清除", elem_id="elem_clear2", variant="secondary", visible=False); clearBtn2.style(size="sm") with gr.Floating(init_x="20%", init_y="50%", visible=False, width="40%", drag="top") as area_customize: @@ -192,10 +193,12 @@ def main(): basic_fn_suffix = gr.Textbox(show_label=False, placeholder="输入新提示后缀", lines=4).style(container=False) with gr.Column(scale=1, min_width=70): basic_fn_confirm = gr.Button("确认并保存", variant="primary"); basic_fn_confirm.style(size="sm") - basic_fn_load = gr.Button("加载已保存", variant="primary"); basic_fn_load.style(size="sm") - def assign_btn(persistent_cookie_, cookies_, basic_btn_dropdown_, basic_fn_title, basic_fn_prefix, basic_fn_suffix): + basic_fn_clean = gr.Button("恢复默认", variant="primary"); basic_fn_clean.style(size="sm") + def assign_btn(persistent_cookie_, cookies_, basic_btn_dropdown_, basic_fn_title, basic_fn_prefix, basic_fn_suffix, clean_up=False): ret = {} + # 读取之前的自定义按钮 customize_fn_overwrite_ = cookies_['customize_fn_overwrite'] + # 更新新的自定义按钮 customize_fn_overwrite_.update({ basic_btn_dropdown_: { @@ -205,20 +208,34 @@ def main(): } } ) - cookies_.update(customize_fn_overwrite_) + if clean_up: + customize_fn_overwrite_ = {} + cookies_.update(customize_fn_overwrite_) # 更新cookie + visible = (not clean_up) and (basic_fn_title != "") if basic_btn_dropdown_ in customize_btns: - ret.update({customize_btns[basic_btn_dropdown_]: gr.update(visible=True, value=basic_fn_title)}) + # 是自定义按钮，不是预定义按钮 + ret.update({customize_btns[basic_btn_dropdown_]: gr.update(visible=visible, value=basic_fn_title)}) else: - ret.update({predefined_btns[basic_btn_dropdown_]: gr.update(visible=True, value=basic_fn_title)}) + # 是预定义按钮 + ret.update({predefined_btns[basic_btn_dropdown_]: gr.update(visible=visible, value=basic_fn_title)}) ret.update({cookies: cookies_}) try: persistent_cookie_ = from_cookie_str(persistent_cookie_) # persistent cookie to dict except: persistent_cookie_ = {} persistent_cookie_["custom_bnt"] = customize_fn_overwrite_ # dict update new value persistent_cookie_ = to_cookie_str(persistent_cookie_) # persistent cookie to dict - ret.update({persistent_cookie: persistent_cookie_}) # write persistent cookie + ret.update({py_pickle_cookie: persistent_cookie_}) # write persistent cookie return ret - def reflesh_btn(persistent_cookie_, cookies_): + # update btn + h = basic_fn_confirm.click(assign_btn, [py_pickle_cookie, cookies, basic_btn_dropdown, basic_fn_title, basic_fn_prefix, basic_fn_suffix], + [py_pickle_cookie, cookies, *customize_btns.values(), *predefined_btns.values()]) + h.then(None, [py_pickle_cookie], None, _js="""(py_pickle_cookie)=>{setCookie("py_pickle_cookie", py_pickle_cookie, 365);}""") + # clean up btn + h2 = basic_fn_clean.click(assign_btn, [py_pickle_cookie, cookies, basic_btn_dropdown, basic_fn_title, basic_fn_prefix, basic_fn_suffix, gr.State(True)], + [py_pickle_cookie, cookies, *customize_btns.values(), *predefined_btns.values()]) + h2.then(None, [py_pickle_cookie], None, _js="""(py_pickle_cookie)=>{setCookie("py_pickle_cookie", py_pickle_cookie, 365);}""") + + def persistent_cookie_reload(persistent_cookie_, cookies_): ret = {} for k in customize_btns: ret.update({customize_btns[k]: gr.update(visible=False, value="")}) @@ -236,25 +253,16 @@ def main(): else: ret.update({predefined_btns[k]: gr.update(visible=True, value=v['Title'])}) return ret - basic_fn_load.click(reflesh_btn, [persistent_cookie, cookies], [cookies, *customize_btns.values(), *predefined_btns.values()]) - h = basic_fn_confirm.click(assign_btn, [persistent_cookie, cookies, basic_btn_dropdown, basic_fn_title, basic_fn_prefix, basic_fn_suffix], - [persistent_cookie, cookies, *customize_btns.values(), *predefined_btns.values()]) - # save persistent cookie - h.then(None, [persistent_cookie], None, _js="""(persistent_cookie)=>{setCookie("persistent_cookie", persistent_cookie, 5);}""") - # 功能区显示开关与功能区的互动 def fn_area_visibility(a): ret = {} - ret.update({area_basic_fn: gr.update(visible=("基础功能区" in a))}) - ret.update({area_crazy_fn: gr.update(visible=("函数插件区" in a))}) ret.update({area_input_primary: gr.update(visible=("浮动输入区" not in a))}) ret.update({area_input_secondary: gr.update(visible=("浮动输入区" in a))}) - ret.update({clearBtn: gr.update(visible=("输入清除键" in a))}) - ret.update({clearBtn2: gr.update(visible=("输入清除键" in a))}) ret.update({plugin_advanced_arg: gr.update(visible=("插件参数区" in a))}) if "浮动输入区" in a: ret.update({txt: gr.update(value="")}) return ret - checkboxes.select(fn_area_visibility, [checkboxes], [area_basic_fn, area_crazy_fn, area_input_primary, area_input_secondary, txt, txt2, clearBtn, clearBtn2, plugin_advanced_arg] ) + checkboxes.select(fn_area_visibility, [checkboxes], [area_basic_fn, area_crazy_fn, area_input_primary, area_input_secondary, txt, txt2, plugin_advanced_arg] ) + checkboxes.select(None, [checkboxes], None, _js=js_code_show_or_hide) # 功能区显示开关与功能区的互动 def fn_area_visibility_2(a): @@ -262,6 +270,7 @@ def main(): ret.update({area_customize: gr.update(visible=("自定义菜单" in a))}) return ret checkboxes_2.select(fn_area_visibility_2, [checkboxes_2], [area_customize] ) + checkboxes_2.select(None, [checkboxes_2], None, _js=js_code_show_or_hide_group2) # 整理反复出现的控件句柄组合 input_combo = [cookies, max_length_sl, md_dropdown, txt, txt2, top_p, temperature, chatbot, history, system_prompt, plugin_advanced_arg] @@ -272,15 +281,17 @@ def main(): cancel_handles.append(txt2.submit(**predict_args)) cancel_handles.append(submitBtn.click(**predict_args)) cancel_handles.append(submitBtn2.click(**predict_args)) - resetBtn.click(lambda: ([], [], "已重置"), None, [chatbot, history, status]) - resetBtn2.click(lambda: ([], [], "已重置"), None, [chatbot, history, status]) - clearBtn.click(lambda: ("",""), None, [txt, txt2]) - clearBtn2.click(lambda: ("",""), None, [txt, txt2]) + resetBtn.click(None, None, [chatbot, history, status], _js=js_code_reset) # 先在前端快速清除chatbot&status + resetBtn2.click(None, None, [chatbot, history, status], _js=js_code_reset) # 先在前端快速清除chatbot&status + resetBtn.click(lambda: ([], [], "已重置"), None, [chatbot, history, status]) # 再在后端清除history + resetBtn2.click(lambda: ([], [], "已重置"), None, [chatbot, history, status]) # 再在后端清除history + clearBtn.click(None, None, [txt, txt2], _js=js_code_clear) + clearBtn2.click(None, None, [txt, txt2], _js=js_code_clear) if AUTO_CLEAR_TXT: - submitBtn.click(lambda: ("",""), None, [txt, txt2]) - submitBtn2.click(lambda: ("",""), None, [txt, txt2]) - txt.submit(lambda: ("",""), None, [txt, txt2]) - txt2.submit(lambda: ("",""), None, [txt, txt2]) + submitBtn.click(None, None, [txt, txt2], _js=js_code_clear) + submitBtn2.click(None, None, [txt, txt2], _js=js_code_clear) + txt.submit(None, None, [txt, txt2], _js=js_code_clear) + txt2.submit(None, None, [txt, txt2], _js=js_code_clear) # 基础功能区的回调函数注册 for k in functional: if ("Visible" in functional[k]) and (not functional[k]["Visible"]): continue @@ -360,10 +371,10 @@ def main(): audio_mic.stream(deal_audio, inputs=[audio_mic, cookies]) - demo.load(init_cookie, inputs=[cookies, chatbot], outputs=[cookies]) - darkmode_js = js_code_for_darkmode_init - demo.load(None, inputs=None, outputs=[persistent_cookie], _js=js_code_for_persistent_cookie_init) - demo.load(None, inputs=[dark_mode], outputs=None, _js=darkmode_js) # 配置暗色主题或亮色主题 + demo.load(init_cookie, inputs=[cookies], outputs=[cookies]) + demo.load(persistent_cookie_reload, inputs = [py_pickle_cookie, cookies], + outputs = [py_pickle_cookie, cookies, *customize_btns.values(), *predefined_btns.values()], _js=js_code_for_persistent_cookie_init) + demo.load(None, inputs=[dark_mode], outputs=None, _js="""(dark_mode)=>{apply_cookie_for_checkbox(dark_mode);}""") # 配置暗色主题或亮色主题 demo.load(None, inputs=[gr.Textbox(LAYOUT, visible=False)], outputs=None, _js='(LAYOUT)=>{GptAcademicJavaScriptInit(LAYOUT);}') # gradio的inbrowser触发不太稳定，回滚代码到原始的浏览器打开函数 diff --git a/request_llms/bridge_all.py b/request_llms/bridge_all.py index 575ac63..9b6c491 100644 --- a/request_llms/bridge_all.py +++ b/request_llms/bridge_all.py @@ -31,6 +31,9 @@ from .bridge_qianfan import predict as qianfan_ui from .bridge_google_gemini import predict as genai_ui from .bridge_google_gemini import predict_no_ui_long_connection as genai_noui +from .bridge_zhipu import predict_no_ui_long_connection as zhipu_noui +from .bridge_zhipu import predict as zhipu_ui + colors = ['#FF00FF', '#00FFFF', '#FF0000', '#990099', '#009999', '#990044'] class LazyloadTiktoken(object): @@ -44,13 +47,13 @@ class LazyloadTiktoken(object): tmp = tiktoken.encoding_for_model(model) print('加载tokenizer完毕') return tmp - + def encode(self, *args, **kwargs): - encoder = self.get_encoder(self.model) + encoder = self.get_encoder(self.model) return encoder.encode(*args, **kwargs) - + def decode(self, *args, **kwargs): - encoder = self.get_encoder(self.model) + encoder = self.get_encoder(self.model) return encoder.decode(*args, **kwargs) # Endpoint 重定向 @@ -63,7 +66,7 @@ azure_endpoint = AZURE_ENDPOINT + f'openai/deployments/{AZURE_ENGINE}/chat/compl # 兼容旧版的配置 try: API_URL = get_conf("API_URL") - if API_URL != "https://api.openai.com/v1/chat/completions": + if API_URL != "https://api.openai.com/v1/chat/completions": openai_endpoint = API_URL print("警告！API_URL配置选项将被弃用，请更换为API_URL_REDIRECT配置") except: @@ -95,7 +98,7 @@ model_info = { "tokenizer": tokenizer_gpt35, "token_cnt": get_token_num_gpt35, }, - + "gpt-3.5-turbo-16k": { "fn_with_ui": chatgpt_ui, "fn_without_ui": chatgpt_noui, @@ -185,7 +188,7 @@ model_info = { "tokenizer": tokenizer_gpt4, "token_cnt": get_token_num_gpt4, }, - + "gpt-4-vision-preview": { "fn_with_ui": chatgpt_vision_ui, "fn_without_ui": chatgpt_vision_noui, @@ -215,16 +218,25 @@ model_info = { "token_cnt": get_token_num_gpt4, }, - # api_2d (此后不需要在此处添加api2d的接口了，因为下面的代码会自动添加) - "api2d-gpt-3.5-turbo": { - "fn_with_ui": chatgpt_ui, - "fn_without_ui": chatgpt_noui, - "endpoint": api2d_endpoint, - "max_token": 4096, + # 智谱AI + "glm-4": { + "fn_with_ui": zhipu_ui, + "fn_without_ui": zhipu_noui, + "endpoint": None, + "max_token": 10124 * 8, + "tokenizer": tokenizer_gpt35, + "token_cnt": get_token_num_gpt35, + }, + "glm-3-turbo": { + "fn_with_ui": zhipu_ui, + "fn_without_ui": zhipu_noui, + "endpoint": None, + "max_token": 10124 * 4, "tokenizer": tokenizer_gpt35, "token_cnt": get_token_num_gpt35, }, + # api_2d (此后不需要在此处添加api2d的接口了，因为下面的代码会自动添加) "api2d-gpt-4": { "fn_with_ui": chatgpt_ui, "fn_without_ui": chatgpt_noui, @@ -580,19 +592,17 @@ if "llama2" in AVAIL_LLM_MODELS: # llama2 }) except: print(trimmed_format_exc()) -if "zhipuai" in AVAIL_LLM_MODELS: # zhipuai +if "zhipuai" in AVAIL_LLM_MODELS: # zhipuai 是glm-4的别名，向后兼容配置 try: - from .bridge_zhipu import predict_no_ui_long_connection as zhipu_noui - from .bridge_zhipu import predict as zhipu_ui model_info.update({ "zhipuai": { "fn_with_ui": zhipu_ui, "fn_without_ui": zhipu_noui, "endpoint": None, - "max_token": 4096, + "max_token": 10124 * 8, "tokenizer": tokenizer_gpt35, "token_cnt": get_token_num_gpt35, - } + }, }) except: print(trimmed_format_exc()) @@ -635,7 +645,7 @@ AZURE_CFG_ARRAY = get_conf("AZURE_CFG_ARRAY") if len(AZURE_CFG_ARRAY) > 0: for azure_model_name, azure_cfg_dict in AZURE_CFG_ARRAY.items(): # 可能会覆盖之前的配置，但这是意料之中的 - if not azure_model_name.startswith('azure'): + if not azure_model_name.startswith('azure'): raise ValueError("AZURE_CFG_ARRAY中配置的模型必须以azure开头") endpoint_ = azure_cfg_dict["AZURE_ENDPOINT"] + \ f'openai/deployments/{azure_cfg_dict["AZURE_ENGINE"]}/chat/completions?api-version=2023-05-15' @@ -701,7 +711,7 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history, sys_prompt, obser executor = ThreadPoolExecutor(max_workers=4) models = model.split('&') n_model = len(models) - + window_len = len(observe_window) assert window_len==3 window_mutex = [["", time.time(), ""] for _ in range(n_model)] + [True] @@ -720,7 +730,7 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history, sys_prompt, obser time.sleep(0.25) if not window_mutex[-1]: break # 看门狗（watchdog） - for i in range(n_model): + for i in range(n_model): window_mutex[i][1] = observe_window[1] # 观察窗（window） chat_string = [] diff --git a/request_llms/bridge_chatgpt.py b/request_llms/bridge_chatgpt.py index 660d5dd..ecb8423 100644 --- a/request_llms/bridge_chatgpt.py +++ b/request_llms/bridge_chatgpt.py @@ -113,6 +113,8 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", error_msg = get_full_error(chunk, stream_response).decode() if "reduce the length" in error_msg: raise ConnectionAbortedError("OpenAI拒绝了请求:" + error_msg) + elif """type":"upstream_error","param":"307""" in error_msg: + raise ConnectionAbortedError("正常结束，但显示Token不足，导致输出不完整，请削减单次输入的文本量。") else: raise RuntimeError("OpenAI拒绝了请求：" + error_msg) if ('data: [DONE]' in chunk_decoded): break # api2d 正常完成 diff --git a/request_llms/bridge_google_gemini.py b/request_llms/bridge_google_gemini.py index 48e5419..cb85ecb 100644 --- a/request_llms/bridge_google_gemini.py +++ b/request_llms/bridge_google_gemini.py @@ -57,6 +57,10 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp if "vision" in llm_kwargs["llm_model"]: have_recent_file, image_paths = have_any_recent_upload_image_files(chatbot) + if not have_recent_file: + chatbot.append((inputs, "没有检测到任何近期上传的图像文件，请上传jpg格式的图片，此外，请注意拓展名需要小写")) + yield from update_ui(chatbot=chatbot, history=history, msg="等待图片") # 刷新界面 + return def make_media_input(inputs, image_paths): for image_path in image_paths: inputs = inputs + f'

' diff --git a/request_llms/bridge_zhipu.py b/request_llms/bridge_zhipu.py index 91903ad..ecb3b75 100644 --- a/request_llms/bridge_zhipu.py +++ b/request_llms/bridge_zhipu.py @@ -1,15 +1,21 @@ - import time +import os from toolbox import update_ui, get_conf, update_ui_lastest_msg -from toolbox import check_packages, report_exception +from toolbox import check_packages, report_exception, have_any_recent_upload_image_files model_name = '智谱AI大模型' +zhipuai_default_model = 'glm-4' def validate_key(): ZHIPUAI_API_KEY = get_conf("ZHIPUAI_API_KEY") if ZHIPUAI_API_KEY == '': return False return True +def make_media_input(inputs, image_paths): + for image_path in image_paths: + inputs = inputs + f'

' + return inputs + def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=[], console_slience=False): """ ⭐多线程方法 @@ -18,34 +24,40 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", watch_dog_patience = 5 response = "" + if llm_kwargs["llm_model"] == "zhipuai": + llm_kwargs["llm_model"] = zhipuai_default_model + if validate_key() is False: raise RuntimeError('请配置ZHIPUAI_API_KEY') - from .com_zhipuapi import ZhipuRequestInstance - sri = ZhipuRequestInstance() - for response in sri.generate(inputs, llm_kwargs, history, sys_prompt): + # 开始接收回复 + from .com_zhipuglm import ZhipuChatInit + zhipu_bro_init = ZhipuChatInit() + for chunk, response in zhipu_bro_init.generate_chat(inputs, llm_kwargs, history, sys_prompt): if len(observe_window) >= 1: observe_window[0] = response if len(observe_window) >= 2: - if (time.time()-observe_window[1]) > watch_dog_patience: raise RuntimeError("程序终止。") + if (time.time() - observe_window[1]) > watch_dog_patience: + raise RuntimeError("程序终止。") return response -def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream = True, additional_fn=None): + +def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream=True, additional_fn=None): """ ⭐单线程方法 函数的说明请见 request_llms/bridge_all.py """ - chatbot.append((inputs, "")) + chatbot.append([inputs, ""]) yield from update_ui(chatbot=chatbot, history=history) # 尝试导入依赖，如果缺少依赖，则给出安装建议 try: check_packages(["zhipuai"]) except: - yield from update_ui_lastest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install zhipuai==1.0.7```。", - chatbot=chatbot, history=history, delay=0) + yield from update_ui_lastest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade zhipuai```。", + chatbot=chatbot, history=history, delay=0) return - + if validate_key() is False: yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置ZHIPUAI_API_KEY", chatbot=chatbot, history=history, delay=0) return @@ -53,16 +65,29 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp if additional_fn is not None: from core_functional import handle_core_functionality inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot) - - # 开始接收回复 - from .com_zhipuapi import ZhipuRequestInstance - sri = ZhipuRequestInstance() - for response in sri.generate(inputs, llm_kwargs, history, system_prompt): - chatbot[-1] = (inputs, response) + chatbot[-1] = [inputs, ""] yield from update_ui(chatbot=chatbot, history=history) - # 总结输出 - if response == f"[Local Message] 等待{model_name}响应中 ...": - response = f"[Local Message] {model_name}响应异常 ..." + if llm_kwargs["llm_model"] == "zhipuai": + llm_kwargs["llm_model"] = zhipuai_default_model + + if llm_kwargs["llm_model"] in ["glm-4v"]: + have_recent_file, image_paths = have_any_recent_upload_image_files(chatbot) + if not have_recent_file: + chatbot.append((inputs, "没有检测到任何近期上传的图像文件，请上传jpg格式的图片，此外，请注意拓展名需要小写")) + yield from update_ui(chatbot=chatbot, history=history, msg="等待图片") # 刷新界面 + return + if have_recent_file: + inputs = make_media_input(inputs, image_paths) + chatbot[-1] = [inputs, ""] + yield from update_ui(chatbot=chatbot, history=history) + + + # 开始接收回复 + from .com_zhipuglm import ZhipuChatInit + zhipu_bro_init = ZhipuChatInit() + for chunk, response in zhipu_bro_init.generate_chat(inputs, llm_kwargs, history, system_prompt): + chatbot[-1] = [inputs, response] + yield from update_ui(chatbot=chatbot, history=history) history.extend([inputs, response]) yield from update_ui(chatbot=chatbot, history=history) \ No newline at end of file diff --git a/request_llms/com_zhipuapi.py b/request_llms/com_zhipuapi.py deleted file mode 100644 index d8b763c..0000000 --- a/request_llms/com_zhipuapi.py +++ /dev/null @@ -1,70 +0,0 @@ -from toolbox import get_conf -import threading -import logging - -timeout_bot_msg = '[Local Message] Request timeout. Network error.' - -class ZhipuRequestInstance(): - def __init__(self): - - self.time_to_yield_event = threading.Event() - self.time_to_exit_event = threading.Event() - - self.result_buf = "" - - def generate(self, inputs, llm_kwargs, history, system_prompt): - # import _thread as thread - import zhipuai - ZHIPUAI_API_KEY, ZHIPUAI_MODEL = get_conf("ZHIPUAI_API_KEY", "ZHIPUAI_MODEL") - zhipuai.api_key = ZHIPUAI_API_KEY - self.result_buf = "" - response = zhipuai.model_api.sse_invoke( - model=ZHIPUAI_MODEL, - prompt=generate_message_payload(inputs, llm_kwargs, history, system_prompt), - top_p=llm_kwargs['top_p']*0.7, # 智谱的API抽风，手动*0.7给做个线性变换 - temperature=llm_kwargs['temperature']*0.95, # 智谱的API抽风，手动*0.7给做个线性变换 - ) - for event in response.events(): - if event.event == "add": - # if self.result_buf == "" and event.data.startswith(" "): - # event.data = event.data.lstrip(" ") # 每次智谱为啥都要带个空格开头呢？ - self.result_buf += event.data - yield self.result_buf - elif event.event == "error" or event.event == "interrupted": - raise RuntimeError("Unknown error:" + event.data) - elif event.event == "finish": - yield self.result_buf - break - else: - raise RuntimeError("Unknown error:" + str(event)) - if self.result_buf == "": - yield "智谱没有返回任何数据, 请检查ZHIPUAI_API_KEY和ZHIPUAI_MODEL是否填写正确." - logging.info(f'[raw_input] {inputs}') - logging.info(f'[response] {self.result_buf}') - return self.result_buf - -def generate_message_payload(inputs, llm_kwargs, history, system_prompt): - conversation_cnt = len(history) // 2 - messages = [{"role": "user", "content": system_prompt}, {"role": "assistant", "content": "Certainly!"}] - if conversation_cnt: - for index in range(0, 2*conversation_cnt, 2): - what_i_have_asked = {} - what_i_have_asked["role"] = "user" - what_i_have_asked["content"] = history[index] - what_gpt_answer = {} - what_gpt_answer["role"] = "assistant" - what_gpt_answer["content"] = history[index+1] - if what_i_have_asked["content"] != "": - if what_gpt_answer["content"] == "": - continue - if what_gpt_answer["content"] == timeout_bot_msg: - continue - messages.append(what_i_have_asked) - messages.append(what_gpt_answer) - else: - messages[-1]['content'] = what_gpt_answer['content'] - what_i_ask_now = {} - what_i_ask_now["role"] = "user" - what_i_ask_now["content"] = inputs - messages.append(what_i_ask_now) - return messages diff --git a/request_llms/com_zhipuglm.py b/request_llms/com_zhipuglm.py new file mode 100644 index 0000000..2e96d3f --- /dev/null +++ b/request_llms/com_zhipuglm.py @@ -0,0 +1,84 @@ +# encoding: utf-8 +# @Time : 2024/1/22 +# @Author : Kilig947 & binary husky +# @Descr : 兼容最新的智谱Ai +from toolbox import get_conf +from zhipuai import ZhipuAI +from toolbox import get_conf, encode_image, get_pictures_list +import logging, os + + +def input_encode_handler(inputs, llm_kwargs): + if llm_kwargs["most_recent_uploaded"].get("path"): + image_paths = get_pictures_list(llm_kwargs["most_recent_uploaded"]["path"]) + md_encode = [] + for md_path in image_paths: + type_ = os.path.splitext(md_path)[1].replace(".", "") + type_ = "jpeg" if type_ == "jpg" else type_ + md_encode.append({"data": encode_image(md_path), "type": type_}) + return inputs, md_encode + + +class ZhipuChatInit: + + def __init__(self): + ZHIPUAI_API_KEY, ZHIPUAI_MODEL = get_conf("ZHIPUAI_API_KEY", "ZHIPUAI_MODEL") + if len(ZHIPUAI_MODEL) > 0: + logging.error('ZHIPUAI_MODEL 配置项选项已经弃用，请在LLM_MODEL中配置') + self.zhipu_bro = ZhipuAI(api_key=ZHIPUAI_API_KEY) + self.model = '' + + def __conversation_user(self, user_input: str, llm_kwargs): + if self.model not in ["glm-4v"]: + return {"role": "user", "content": user_input} + else: + input_, encode_img = input_encode_handler(user_input, llm_kwargs=llm_kwargs) + what_i_have_asked = {"role": "user", "content": []} + what_i_have_asked['content'].append({"type": 'text', "text": user_input}) + if encode_img: + img_d = {"type": "image_url", + "image_url": {'url': encode_img}} + what_i_have_asked['content'].append(img_d) + return what_i_have_asked + + def __conversation_history(self, history, llm_kwargs): + messages = [] + conversation_cnt = len(history) // 2 + if conversation_cnt: + for index in range(0, 2 * conversation_cnt, 2): + what_i_have_asked = self.__conversation_user(history[index], llm_kwargs) + what_gpt_answer = { + "role": "assistant", + "content": history[index + 1] + } + messages.append(what_i_have_asked) + messages.append(what_gpt_answer) + return messages + + def __conversation_message_payload(self, inputs, llm_kwargs, history, system_prompt): + messages = [] + if system_prompt: + messages.append({"role": "system", "content": system_prompt}) + self.model = llm_kwargs['llm_model'] + messages.extend(self.__conversation_history(history, llm_kwargs)) # 处理 history + messages.append(self.__conversation_user(inputs, llm_kwargs)) # 处理用户对话 + response = self.zhipu_bro.chat.completions.create( + model=self.model, messages=messages, stream=True, + temperature=llm_kwargs.get('temperature', 0.95) * 0.95, # 只能传默认的 temperature 和 top_p + top_p=llm_kwargs.get('top_p', 0.7) * 0.7, + max_tokens=llm_kwargs.get('max_tokens', 1024 * 4), # 最大输出模型的一半 + ) + return response + + def generate_chat(self, inputs, llm_kwargs, history, system_prompt): + self.model = llm_kwargs['llm_model'] + response = self.__conversation_message_payload(inputs, llm_kwargs, history, system_prompt) + bro_results = '' + for chunk in response: + bro_results += chunk.choices[0].delta.content + yield chunk.choices[0].delta.content, bro_results + + +if __name__ == '__main__': + zhipu = ZhipuChatInit() + zhipu.generate_chat('你好', {'llm_model': 'glm-4'}, [], '你是WPSAi') diff --git a/requirements.txt b/requirements.txt index 8f5e45b..fe948ee 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,10 +1,10 @@ -https://public.gpt-academic.top/publish/gradio-3.32.7-py3-none-any.whl +https://public.gpt-academic.top/publish/gradio-3.32.8-py3-none-any.whl gradio-client==0.8 pypdf2==2.12.1 -zhipuai<2 +zhipuai>=2 tiktoken>=0.3.3 requests[socks] -pydantic==1.10.11 +pydantic==2.5.2 protobuf==3.18 transformers>=4.27.1 scipdf_parser>=0.52 diff --git a/tests/test_plugins.py b/tests/test_plugins.py index 7db3623..de465a4 100644 --- a/tests/test_plugins.py +++ b/tests/test_plugins.py @@ -20,10 +20,10 @@ if __name__ == "__main__": # plugin_test(plugin='crazy_functions.函数动态生成->函数动态生成', main_input='交换图像的蓝色通道和红色通道', advanced_arg={"file_path_arg": "./build/ants.jpg"}) - # plugin_test(plugin='crazy_functions.Latex输出PDF结果->Latex翻译中文并重新编译PDF', main_input="2307.07522") + # plugin_test(plugin='crazy_functions.Latex输出PDF->Latex翻译中文并重新编译PDF', main_input="2307.07522") plugin_test( - plugin="crazy_functions.Latex输出PDF结果->Latex翻译中文并重新编译PDF", + plugin="crazy_functions.Latex输出PDF->Latex翻译中文并重新编译PDF", main_input="G:/SEAFILE_LOCAL/50503047/我的资料库/学位/paperlatex/aaai/Fu_8368_with_appendix", ) @@ -66,7 +66,7 @@ if __name__ == "__main__": # plugin_test(plugin='crazy_functions.知识库文件注入->读取知识库作答', main_input="远程云服务器部署？") - # plugin_test(plugin='crazy_functions.Latex输出PDF结果->Latex翻译中文并重新编译PDF', main_input="2210.03629") + # plugin_test(plugin='crazy_functions.Latex输出PDF->Latex翻译中文并重新编译PDF', main_input="2210.03629") # advanced_arg = {"advanced_arg":"--llm_to_learn=gpt-3.5-turbo --prompt_prefix='根据下面的服装类型提示，想象一个穿着者，对这个人外貌、身处的环境、内心世界、人设进行描写。要求：100字以内，用第二人称。' --system_prompt=''" } # plugin_test(plugin='crazy_functions.chatglm微调工具->微调数据集生成', main_input='build/dev.json', advanced_arg=advanced_arg) diff --git a/themes/base64.mjs b/themes/base64.mjs index 5e64328..b842822 100644 --- a/themes/base64.mjs +++ b/themes/base64.mjs @@ -1,296 +1 @@ -/** - * base64.ts - * - * Licensed under the BSD 3-Clause License. - * http://opensource.org/licenses/BSD-3-Clause - * - * References: - * http://en.wikipedia.org/wiki/Base64 - * - * @author Dan Kogai (https://github.com/dankogai) - */ -const version = '3.7.2'; -/** - * @deprecated use lowercase `version`. - */ -const VERSION = version; -const _hasatob = typeof atob === 'function'; -const _hasbtoa = typeof btoa === 'function'; -const _hasBuffer = typeof Buffer === 'function'; -const _TD = typeof TextDecoder === 'function' ? new TextDecoder() : undefined; -const _TE = typeof TextEncoder === 'function' ? new TextEncoder() : undefined; -const b64ch = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/='; -const b64chs = Array.prototype.slice.call(b64ch); -const b64tab = ((a) => { - let tab = {}; - a.forEach((c, i) => tab[c] = i); - return tab; -})(b64chs); -const b64re = /^(?:[A-Za-z\d+\/]{4})*?(?:[A-Za-z\d+\/]{2}(?:==)?|[A-Za-z\d+\/]{3}=?)?$/; -const _fromCC = String.fromCharCode.bind(String); -const _U8Afrom = typeof Uint8Array.from === 'function' - ? Uint8Array.from.bind(Uint8Array) - : (it, fn = (x) => x) => new Uint8Array(Array.prototype.slice.call(it, 0).map(fn)); -const _mkUriSafe = (src) => src - .replace(/=/g, '').replace(/[+\/]/g, (m0) => m0 == '+' ? '-' : '_'); -const _tidyB64 = (s) => s.replace(/[^A-Za-z0-9\+\/]/g, ''); -/** - * polyfill version of `btoa` - */ -const btoaPolyfill = (bin) => { - // console.log('polyfilled'); - let u32, c0, c1, c2, asc = ''; - const pad = bin.length % 3; - for (let i = 0; i < bin.length;) { - if ((c0 = bin.charCodeAt(i++)) > 255 || - (c1 = bin.charCodeAt(i++)) > 255 || - (c2 = bin.charCodeAt(i++)) > 255) - throw new TypeError('invalid character found'); - u32 = (c0 << 16) | (c1 << 8) | c2; - asc += b64chs[u32 >> 18 & 63] - + b64chs[u32 >> 12 & 63] - + b64chs[u32 >> 6 & 63] - + b64chs[u32 & 63]; - } - return pad ? asc.slice(0, pad - 3) + "===".substring(pad) : asc; -}; -/** - * does what `window.btoa` of web browsers do. - * @param {String} bin binary string - * @returns {string} Base64-encoded string - */ -const _btoa = _hasbtoa ? (bin) => btoa(bin) - : _hasBuffer ? (bin) => Buffer.from(bin, 'binary').toString('base64') - : btoaPolyfill; -const _fromUint8Array = _hasBuffer - ? (u8a) => Buffer.from(u8a).toString('base64') - : (u8a) => { - // cf. https://stackoverflow.com/questions/12710001/how-to-convert-uint8-array-to-base64-encoded-string/12713326#12713326 - const maxargs = 0x1000; - let strs = []; - for (let i = 0, l = u8a.length; i < l; i += maxargs) { - strs.push(_fromCC.apply(null, u8a.subarray(i, i + maxargs))); - } - return _btoa(strs.join('')); - }; -/** - * converts a Uint8Array to a Base64 string. - * @param {boolean} [urlsafe] URL-and-filename-safe a la RFC4648 §5 - * @returns {string} Base64 string - */ -const fromUint8Array = (u8a, urlsafe = false) => urlsafe ? _mkUriSafe(_fromUint8Array(u8a)) : _fromUint8Array(u8a); -// This trick is found broken https://github.com/dankogai/js-base64/issues/130 -// const utob = (src: string) => unescape(encodeURIComponent(src)); -// reverting good old fationed regexp -const cb_utob = (c) => { - if (c.length < 2) { - var cc = c.charCodeAt(0); - return cc < 0x80 ? c - : cc < 0x800 ? (_fromCC(0xc0 | (cc >>> 6)) - + _fromCC(0x80 | (cc & 0x3f))) - : (_fromCC(0xe0 | ((cc >>> 12) & 0x0f)) - + _fromCC(0x80 | ((cc >>> 6) & 0x3f)) - + _fromCC(0x80 | (cc & 0x3f))); - } - else { - var cc = 0x10000 - + (c.charCodeAt(0) - 0xD800) * 0x400 - + (c.charCodeAt(1) - 0xDC00); - return (_fromCC(0xf0 | ((cc >>> 18) & 0x07)) - + _fromCC(0x80 | ((cc >>> 12) & 0x3f)) - + _fromCC(0x80 | ((cc >>> 6) & 0x3f)) - + _fromCC(0x80 | (cc & 0x3f))); - } -}; -const re_utob = /[\uD800-\uDBFF][\uDC00-\uDFFFF]|[^\x00-\x7F]/g; -/** - * @deprecated should have been internal use only. - * @param {string} src UTF-8 string - * @returns {string} UTF-16 string - */ -const utob = (u) => u.replace(re_utob, cb_utob); -// -const _encode = _hasBuffer - ? (s) => Buffer.from(s, 'utf8').toString('base64') - : _TE - ? (s) => _fromUint8Array(_TE.encode(s)) - : (s) => _btoa(utob(s)); -/** - * converts a UTF-8-encoded string to a Base64 string. - * @param {boolean} [urlsafe] if `true` make the result URL-safe - * @returns {string} Base64 string - */ -const encode = (src, urlsafe = false) => urlsafe - ? _mkUriSafe(_encode(src)) - : _encode(src); -/** - * converts a UTF-8-encoded string to URL-safe Base64 RFC4648 §5. - * @returns {string} Base64 string - */ -const encodeURI = (src) => encode(src, true); -// This trick is found broken https://github.com/dankogai/js-base64/issues/130 -// const btou = (src: string) => decodeURIComponent(escape(src)); -// reverting good old fationed regexp -const re_btou = /[\xC0-\xDF][\x80-\xBF]|[\xE0-\xEF][\x80-\xBF]{2}|[\xF0-\xF7][\x80-\xBF]{3}/g; -const cb_btou = (cccc) => { - switch (cccc.length) { - case 4: - var cp = ((0x07 & cccc.charCodeAt(0)) << 18) - | ((0x3f & cccc.charCodeAt(1)) << 12) - | ((0x3f & cccc.charCodeAt(2)) << 6) - | (0x3f & cccc.charCodeAt(3)), offset = cp - 0x10000; - return (_fromCC((offset >>> 10) + 0xD800) - + _fromCC((offset & 0x3FF) + 0xDC00)); - case 3: - return _fromCC(((0x0f & cccc.charCodeAt(0)) << 12) - | ((0x3f & cccc.charCodeAt(1)) << 6) - | (0x3f & cccc.charCodeAt(2))); - default: - return _fromCC(((0x1f & cccc.charCodeAt(0)) << 6) - | (0x3f & cccc.charCodeAt(1))); - } -}; -/** - * @deprecated should have been internal use only. - * @param {string} src UTF-16 string - * @returns {string} UTF-8 string - */ -const btou = (b) => b.replace(re_btou, cb_btou); -/** - * polyfill version of `atob` - */ -const atobPolyfill = (asc) => { - // console.log('polyfilled'); - asc = asc.replace(/\s+/g, ''); - if (!b64re.test(asc)) - throw new TypeError('malformed base64.'); - asc += '=='.slice(2 - (asc.length & 3)); - let u24, bin = '', r1, r2; - for (let i = 0; i < asc.length;) { - u24 = b64tab[asc.charAt(i++)] << 18 - | b64tab[asc.charAt(i++)] << 12 - | (r1 = b64tab[asc.charAt(i++)]) << 6 - | (r2 = b64tab[asc.charAt(i++)]); - bin += r1 === 64 ? _fromCC(u24 >> 16 & 255) - : r2 === 64 ? _fromCC(u24 >> 16 & 255, u24 >> 8 & 255) - : _fromCC(u24 >> 16 & 255, u24 >> 8 & 255, u24 & 255); - } - return bin; -}; -/** - * does what `window.atob` of web browsers do. - * @param {String} asc Base64-encoded string - * @returns {string} binary string - */ -const _atob = _hasatob ? (asc) => atob(_tidyB64(asc)) - : _hasBuffer ? (asc) => Buffer.from(asc, 'base64').toString('binary') - : atobPolyfill; -// -const _toUint8Array = _hasBuffer - ? (a) => _U8Afrom(Buffer.from(a, 'base64')) - : (a) => _U8Afrom(_atob(a), c => c.charCodeAt(0)); -/** - * converts a Base64 string to a Uint8Array. - */ -const toUint8Array = (a) => _toUint8Array(_unURI(a)); -// -const _decode = _hasBuffer - ? (a) => Buffer.from(a, 'base64').toString('utf8') - : _TD - ? (a) => _TD.decode(_toUint8Array(a)) - : (a) => btou(_atob(a)); -const _unURI = (a) => _tidyB64(a.replace(/[-_]/g, (m0) => m0 == '-' ? '+' : '/')); -/** - * converts a Base64 string to a UTF-8 string. - * @param {String} src Base64 string. Both normal and URL-safe are supported - * @returns {string} UTF-8 string - */ -const decode = (src) => _decode(_unURI(src)); -/** - * check if a value is a valid Base64 string - * @param {String} src a value to check - */ -const isValid = (src) => { - if (typeof src !== 'string') - return false; - const s = src.replace(/\s+/g, '').replace(/={0,2}$/, ''); - return !/[^\s0-9a-zA-Z\+/]/.test(s) || !/[^\s0-9a-zA-Z\-_]/.test(s); -}; -// -const _noEnum = (v) => { - return { - value: v, enumerable: false, writable: true, configurable: true - }; -}; -/** - * extend String.prototype with relevant methods - */ -const extendString = function () { - const _add = (name, body) => Object.defineProperty(String.prototype, name, _noEnum(body)); - _add('fromBase64', function () { return decode(this); }); - _add('toBase64', function (urlsafe) { return encode(this, urlsafe); }); - _add('toBase64URI', function () { return encode(this, true); }); - _add('toBase64URL', function () { return encode(this, true); }); - _add('toUint8Array', function () { return toUint8Array(this); }); -}; -/** - * extend Uint8Array.prototype with relevant methods - */ -const extendUint8Array = function () { - const _add = (name, body) => Object.defineProperty(Uint8Array.prototype, name, _noEnum(body)); - _add('toBase64', function (urlsafe) { return fromUint8Array(this, urlsafe); }); - _add('toBase64URI', function () { return fromUint8Array(this, true); }); - _add('toBase64URL', function () { return fromUint8Array(this, true); }); -}; -/** - * extend Builtin prototypes with relevant methods - */ -const extendBuiltins = () => { - extendString(); - extendUint8Array(); -}; -const gBase64 = { - version: version, - VERSION: VERSION, - atob: _atob, - atobPolyfill: atobPolyfill, - btoa: _btoa, - btoaPolyfill: btoaPolyfill, - fromBase64: decode, - toBase64: encode, - encode: encode, - encodeURI: encodeURI, - encodeURL: encodeURI, - utob: utob, - btou: btou, - decode: decode, - isValid: isValid, - fromUint8Array: fromUint8Array, - toUint8Array: toUint8Array, - extendString: extendString, - extendUint8Array: extendUint8Array, - extendBuiltins: extendBuiltins, -}; -// makecjs:CUT // -export { version }; -export { VERSION }; -export { _atob as atob }; -export { atobPolyfill }; -export { _btoa as btoa }; -export { btoaPolyfill }; -export { decode as fromBase64 }; -export { encode as toBase64 }; -export { utob }; -export { encode }; -export { encodeURI }; -export { encodeURI as encodeURL }; -export { btou }; -export { decode }; -export { isValid }; -export { fromUint8Array }; -export { toUint8Array }; -export { extendString }; -export { extendUint8Array }; -export { extendBuiltins }; -// and finally, -export { gBase64 as Base64 }; \ No newline at end of file +// we have moved mermaid-related code to gradio-fix repository: binary-husky/gradio-fix@32150d0 diff --git a/themes/common.css b/themes/common.css index 4e76b05..e4b453d 100644 --- a/themes/common.css +++ b/themes/common.css @@ -59,6 +59,7 @@ /* Scrollbar Width */ ::-webkit-scrollbar { + height: 12px; width: 12px; } diff --git a/themes/common.js b/themes/common.js index 5e2d8c2..4a9606c 100644 --- a/themes/common.js +++ b/themes/common.js @@ -234,7 +234,7 @@ let timeoutID = null; let lastInvocationTime = 0; let lastArgs = null; function do_something_but_not_too_frequently(min_interval, func) { - return function(...args) { + return function (...args) { lastArgs = args; const now = Date.now(); if (!lastInvocationTime || (now - lastInvocationTime) >= min_interval) { @@ -263,13 +263,8 @@ function chatbotContentChanged(attempt = 1, force = false) { gradioApp().querySelectorAll('#gpt-chatbot .message-wrap .message.bot').forEach(addCopyButton); }, i === 0 ? 0 : 200); } + // we have moved mermaid-related code to gradio-fix repository: binary-husky/gradio-fix@32150d0 - const run_mermaid_render = do_something_but_not_too_frequently(1000, function () { - const blocks = document.querySelectorAll(`pre.mermaid, diagram-div`); - if (blocks.length == 0) { return; } - uml("mermaid"); - }); - run_mermaid_render(); } @@ -672,9 +667,9 @@ function limit_scroll_position() { let scrollableDiv = document.querySelector('#gpt-chatbot > div.wrap'); scrollableDiv.addEventListener('wheel', function (e) { let preventScroll = false; - if (e.deltaX != 0) { prevented_offset = 0; return;} - if (this.scrollHeight == this.clientHeight) { prevented_offset = 0; return;} - if (e.deltaY < 0) { prevented_offset = 0; return;} + if (e.deltaX != 0) { prevented_offset = 0; return; } + if (this.scrollHeight == this.clientHeight) { prevented_offset = 0; return; } + if (e.deltaY < 0) { prevented_offset = 0; return; } if (e.deltaY > 0 && this.scrollHeight - this.clientHeight - this.scrollTop <= 1) { preventScroll = true; } if (preventScroll) { @@ -713,3 +708,161 @@ function GptAcademicJavaScriptInit(LAYOUT = "LEFT-RIGHT") { // setInterval(function () { uml("mermaid") }, 5000); // 每50毫秒执行一次 } + + +function loadLive2D() { + try { + $("").attr({ href: "file=themes/waifu_plugin/waifu.css", rel: "stylesheet", type: "text/css" }).appendTo('head'); + $('body').append('
'); + $.ajax({ + url: "file=themes/waifu_plugin/waifu-tips.js", dataType: "script", cache: true, success: function () { + $.ajax({ + url: "file=themes/waifu_plugin/live2d.js", dataType: "script", cache: true, success: function () { + /* 可直接修改部分参数 */ + live2d_settings['hitokotoAPI'] = "hitokoto.cn"; // 一言 API + live2d_settings['modelId'] = 3; // 默认模型 ID + live2d_settings['modelTexturesId'] = 44; // 默认材质 ID + live2d_settings['modelStorage'] = false; // 不储存模型 ID + live2d_settings['waifuSize'] = '210x187'; + live2d_settings['waifuTipsSize'] = '187x52'; + live2d_settings['canSwitchModel'] = true; + live2d_settings['canSwitchTextures'] = true; + live2d_settings['canSwitchHitokoto'] = false; + live2d_settings['canTakeScreenshot'] = false; + live2d_settings['canTurnToHomePage'] = false; + live2d_settings['canTurnToAboutPage'] = false; + live2d_settings['showHitokoto'] = false; // 显示一言 + live2d_settings['showF12Status'] = false; // 显示加载状态 + live2d_settings['showF12Message'] = false; // 显示看板娘消息 + live2d_settings['showF12OpenMsg'] = false; // 显示控制台打开提示 + live2d_settings['showCopyMessage'] = false; // 显示 复制内容 提示 + live2d_settings['showWelcomeMessage'] = true; // 显示进入面页欢迎词 + /* 在 initModel 前添加 */ + initModel("file=themes/waifu_plugin/waifu-tips.json"); + } + }); + } + }); + } catch (err) { console.log("[Error] JQuery is not defined.") } +} + +function get_checkbox_selected_items(elem_id){ + display_panel_arr = []; + document.getElementById(elem_id).querySelector('[data-testid="checkbox-group"]').querySelectorAll('label').forEach(label => { + // Get the span text + const spanText = label.querySelector('span').textContent; + // Get the input value + const checked = label.querySelector('input').checked; + if (checked) { + display_panel_arr.push(spanText) + } + }); + return display_panel_arr; +} + +function set_checkbox(key, bool, set_twice=false) { + set_success = false; + elem_ids = ["cbsc", "cbs"] + elem_ids.forEach(id => { + document.getElementById(id).querySelector('[data-testid="checkbox-group"]').querySelectorAll('label').forEach(label => { + // Get the span text + const spanText = label.querySelector('span').textContent; + if (spanText === key) { + if (bool){ + label.classList.add('selected'); + } else { + if (label.classList.contains('selected')) { + label.classList.remove('selected'); + } + } + if (set_twice){ + setTimeout(() => { + if (bool){ + label.classList.add('selected'); + } else { + if (label.classList.contains('selected')) { + label.classList.remove('selected'); + } + } + }, 5000); + } + + label.querySelector('input').checked = bool; + set_success = true; + return + } + }); + }); + + if (!set_success){ + console.log("设置checkbox失败，没有找到对应的key") + } +} + +function apply_cookie_for_checkbox(dark) { + // console.log("apply_cookie_for_checkboxes") + let searchString = "输入清除键"; + let bool_value = "False"; + + ////////////////// darkmode /////////////////// + if (getCookie("js_darkmode_cookie")) { + dark = getCookie("js_darkmode_cookie") + } + dark = dark == "True"; + if (document.querySelectorAll('.dark').length) { + if (!dark) { + document.querySelectorAll('.dark').forEach(el => el.classList.remove('dark')); + } + } else { + if (dark) { + document.querySelector('body').classList.add('dark'); + } + } + + ////////////////////// clearButton /////////////////////////// + if (getCookie("js_clearbtn_show_cookie")) { + // have cookie + bool_value = getCookie("js_clearbtn_show_cookie") + bool_value = bool_value == "True"; + searchString = "输入清除键"; + if (bool_value) { + let clearButton = document.getElementById("elem_clear"); + let clearButton2 = document.getElementById("elem_clear2"); + clearButton.style.display = "block"; + clearButton2.style.display = "block"; + set_checkbox(searchString, true); + } else { + let clearButton = document.getElementById("elem_clear"); + let clearButton2 = document.getElementById("elem_clear2"); + clearButton.style.display = "none"; + clearButton2.style.display = "none"; + set_checkbox(searchString, false); + } + } + + ////////////////////// live2d /////////////////////////// + + if (getCookie("js_live2d_show_cookie")) { + // have cookie + searchString = "添加Live2D形象"; + bool_value = getCookie("js_live2d_show_cookie"); + bool_value = bool_value == "True"; + if (bool_value) { + loadLive2D(); + set_checkbox(searchString, true); + } else { + $('.waifu').hide(); + set_checkbox(searchString, false); + } + } else { + // do not have cookie + // get conf + display_panel_arr = get_checkbox_selected_items("cbsc"); + searchString = "添加Live2D形象"; + if (display_panel_arr.includes(searchString)) { + loadLive2D(); + } else { + } + } + +} \ No newline at end of file diff --git a/themes/common.py b/themes/common.py index 08f8561..40c1469 100644 --- a/themes/common.py +++ b/themes/common.py @@ -5,17 +5,14 @@ def get_common_html_javascript_code(): js = "\n" for jsf in [ "file=themes/common.js", - "file=themes/mermaid.min.js", - 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