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version3.4
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master-lat
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| 4290821a50 |
@ -56,6 +56,9 @@ LOCAL_MODEL_DEVICE = "cpu" # 可选 "cuda"
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# 设置gradio的并行线程数(不需要修改)
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CONCURRENT_COUNT = 100
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# 是否在提交时自动清空输入框
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AUTO_CLEAR_TXT = False
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# 加一个live2d装饰
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ADD_WAIFU = False
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@ -63,6 +63,7 @@ def get_core_functions():
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"Prefix": r"我需要你找一张网络图片。使用Unsplash API(https://source.unsplash.com/960x640/?<英语关键词>)获取图片URL," +
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r"然后请使用Markdown格式封装,并且不要有反斜线,不要用代码块。现在,请按以下描述给我发送图片:" + "\n\n",
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"Suffix": r"",
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"Visible": False,
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},
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"解释代码": {
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"Prefix": r"请解释以下代码:" + "\n```\n",
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@ -73,6 +74,5 @@ def get_core_functions():
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r"Note that, reference styles maybe more than one kind, you should transform each item correctly." +
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r"Items need to be transformed:",
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"Suffix": r"",
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"Visible": False,
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}
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}
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@ -226,12 +226,20 @@ def get_crazy_functions():
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try:
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from crazy_functions.联网的ChatGPT import 连接网络回答问题
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function_plugins.update({
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"连接网络回答问题(先输入问题,再点击按钮,需要访问谷歌)": {
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"连接网络回答问题(输入问题后点击该插件,需要访问谷歌)": {
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"Color": "stop",
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"AsButton": False, # 加入下拉菜单中
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"Function": HotReload(连接网络回答问题)
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}
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})
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from crazy_functions.联网的ChatGPT_bing版 import 连接bing搜索回答问题
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function_plugins.update({
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"连接网络回答问题(中文Bing版,输入问题后点击该插件)": {
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"Color": "stop",
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"AsButton": False, # 加入下拉菜单中
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"Function": HotReload(连接bing搜索回答问题)
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}
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})
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except:
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print('Load function plugin failed')
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@ -348,17 +356,28 @@ def get_crazy_functions():
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try:
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from crazy_functions.Latex输出PDF结果 import Latex英文纠错加PDF对比
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function_plugins.update({
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"[功能尚不稳定] Latex英文纠错+LatexDiff高亮修正位置": {
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"Latex英文纠错+高亮修正位置 [需Latex]": {
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"Color": "stop",
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"AsButton": False,
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# "AdvancedArgs": True,
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# "ArgsReminder": "",
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"AdvancedArgs": True,
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"ArgsReminder": "如果有必要, 请在此处追加更细致的矫错指令(使用英文)。",
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"Function": HotReload(Latex英文纠错加PDF对比)
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}
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})
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from crazy_functions.Latex输出PDF结果 import Latex翻译中文并重新编译PDF
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function_plugins.update({
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"Arixv翻译(输入arxivID) [需Latex]": {
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"Arixv翻译(输入arxivID)[需Latex]": {
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"Color": "stop",
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"AsButton": False,
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"AdvancedArgs": True,
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"ArgsReminder":
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"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。 "+
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"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". ',
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"Function": HotReload(Latex翻译中文并重新编译PDF)
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}
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})
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function_plugins.update({
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"本地论文翻译(上传Latex压缩包)[需Latex]": {
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"Color": "stop",
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"AsButton": False,
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"AdvancedArgs": True,
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@ -368,17 +387,6 @@ def get_crazy_functions():
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"Function": HotReload(Latex翻译中文并重新编译PDF)
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}
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})
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# function_plugins.update({
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# "本地论文翻译(上传Latex压缩包) [需Latex]": {
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# "Color": "stop",
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# "AsButton": False,
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# "AdvancedArgs": True,
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# "ArgsReminder":
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# "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。 "+
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# "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". ',
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# "Function": HotReload(Latex翻译中文并重新编译PDF)
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# }
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# })
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except:
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print('Load function plugin failed')
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@ -19,9 +19,9 @@ def switch_prompt(pfg, mode, more_requirement):
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- sys_prompt_array: A list of strings containing prompts for system prompts.
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"""
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n_split = len(pfg.sp_file_contents)
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if mode == 'proofread':
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if mode == 'proofread_en':
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inputs_array = [r"Below is a section from an academic paper, proofread this section." +
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r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " +
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r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " + more_requirement +
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r"Answer me only with the revised text:" +
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f"\n\n{frag}" for frag in pfg.sp_file_contents]
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sys_prompt_array = ["You are a professional academic paper writer." for _ in range(n_split)]
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@ -70,6 +70,12 @@ def move_project(project_folder, arxiv_id=None):
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shutil.rmtree(new_workfolder)
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except:
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pass
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# align subfolder if there is a folder wrapper
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items = glob.glob(pj(project_folder,'*'))
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if len(glob.glob(pj(project_folder,'*.tex'))) == 0 and len(items) == 1:
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if os.path.isdir(items[0]): project_folder = items[0]
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shutil.copytree(src=project_folder, dst=new_workfolder)
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return new_workfolder
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@ -141,7 +147,11 @@ def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, histo
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chatbot.append([ "函数插件功能?",
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"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。"])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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# <-------------- more requirements ------------->
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if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
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more_req = plugin_kwargs.get("advanced_arg", "")
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_switch_prompt_ = partial(switch_prompt, more_requirement=more_req)
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# <-------------- check deps ------------->
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try:
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@ -180,13 +190,13 @@ def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, histo
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# <-------------- if merge_translate_zh is already generated, skip gpt req ------------->
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if not os.path.exists(project_folder + '/merge_proofread.tex'):
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if not os.path.exists(project_folder + '/merge_proofread_en.tex'):
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yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs,
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chatbot, history, system_prompt, mode='proofread_latex', switch_prompt=switch_prompt)
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chatbot, history, system_prompt, mode='proofread_en', switch_prompt=_switch_prompt_)
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# <-------------- compile PDF ------------->
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success = yield from 编译Latex(chatbot, history, main_file_original='merge', main_file_modified='merge_proofread',
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success = yield from 编译Latex(chatbot, history, main_file_original='merge', main_file_modified='merge_proofread_en',
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work_folder_original=project_folder, work_folder_modified=project_folder, work_folder=project_folder)
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@ -195,6 +205,7 @@ def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, histo
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if success:
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chatbot.append((f"成功啦", '请查收结果(压缩包)...'))
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yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面
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promote_file_to_downloadzone(file=zip_res, chatbot=chatbot)
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else:
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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 ...'))
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yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面
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@ -278,6 +289,7 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
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if success:
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chatbot.append((f"成功啦", '请查收结果(压缩包)...'))
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yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面
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promote_file_to_downloadzone(file=zip_res, chatbot=chatbot)
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else:
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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 ...'))
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yield from update_ui(chatbot=chatbot, history=history); time.sleep(1) # 刷新界面
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@ -190,11 +190,12 @@ def test_Latex():
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# txt = r"C:\Users\x\arxiv_cache\2211.16068\workfolder" # ACE
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# txt = r"https://arxiv.org/abs/2002.09253"
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# txt = r"https://arxiv.org/abs/2306.07831"
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txt = r"https://arxiv.org/abs/2212.10156"
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# txt = r"https://arxiv.org/abs/2212.10156"
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# txt = r"https://arxiv.org/abs/2211.11559"
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# txt = r"https://arxiv.org/abs/2303.08774"
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# txt = r"https://arxiv.org/abs/2303.12712"
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# txt = r"C:\Users\fuqingxu\arxiv_cache\2303.12712\workfolder"
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txt = r"2306.17157" # 这个paper有个input命令文件名大小写错误!
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for cookies, cb, hist, msg in (Latex翻译中文并重新编译PDF)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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@ -27,6 +27,24 @@ def set_forbidden_text(text, mask, pattern, flags=0):
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mask[res.span()[0]:res.span()[1]] = PRESERVE
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return text, mask
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def reverse_forbidden_text(text, mask, pattern, flags=0, forbid_wrapper=True):
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"""
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Move area out of preserve area (make text editable for GPT)
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count the number of the braces so as to catch compelete text area.
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e.g.
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\begin{abstract} blablablablablabla. \end{abstract}
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"""
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if isinstance(pattern, list): pattern = '|'.join(pattern)
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pattern_compile = re.compile(pattern, flags)
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for res in pattern_compile.finditer(text):
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if not forbid_wrapper:
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mask[res.span()[0]:res.span()[1]] = TRANSFORM
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else:
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mask[res.regs[0][0]: res.regs[1][0]] = PRESERVE # '\\begin{abstract}'
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mask[res.regs[1][0]: res.regs[1][1]] = TRANSFORM # abstract
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mask[res.regs[1][1]: res.regs[0][1]] = PRESERVE # abstract
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return text, mask
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def set_forbidden_text_careful_brace(text, mask, pattern, flags=0):
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"""
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Add a preserve text area in this paper (text become untouchable for GPT).
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@ -171,6 +189,18 @@ def rm_comments(main_file):
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main_file = re.sub(r'(?<!\\)%.*', '', main_file) # 使用正则表达式查找半行注释, 并替换为空字符串
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return main_file
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def find_tex_file_ignore_case(fp):
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dir_name = os.path.dirname(fp)
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base_name = os.path.basename(fp)
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if not base_name.endswith('.tex'): base_name+='.tex'
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if os.path.exists(pj(dir_name, base_name)): return pj(dir_name, base_name)
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# go case in-sensitive
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import glob
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for f in glob.glob(dir_name+'/*.tex'):
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base_name_s = os.path.basename(fp)
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if base_name_s.lower() == base_name.lower(): return f
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return None
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||||
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||||
def merge_tex_files_(project_foler, main_file, mode):
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"""
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Merge Tex project recrusively
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@ -179,14 +209,11 @@ def merge_tex_files_(project_foler, main_file, mode):
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for s in reversed([q for q in re.finditer(r"\\input\{(.*?)\}", main_file, re.M)]):
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f = s.group(1)
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fp = os.path.join(project_foler, f)
|
||||
if os.path.exists(fp):
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||||
# e.g., \input{srcs/07_appendix.tex}
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with open(fp, 'r', encoding='utf-8', errors='replace') as fx:
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c = fx.read()
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else:
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||||
# e.g., \input{srcs/07_appendix}
|
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with open(fp+'.tex', 'r', encoding='utf-8', errors='replace') as fx:
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||||
c = fx.read()
|
||||
fp = find_tex_file_ignore_case(fp)
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if fp:
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||||
with open(fp, 'r', encoding='utf-8', errors='replace') as fx: c = fx.read()
|
||||
else:
|
||||
raise RuntimeError(f'找不到{fp},Tex源文件缺失!')
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||||
c = merge_tex_files_(project_foler, c, mode)
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||||
main_file = main_file[:s.span()[0]] + c + main_file[s.span()[1]:]
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||||
return main_file
|
||||
@ -326,6 +353,7 @@ def split_subprocess(txt, project_folder, return_dict, opts):
|
||||
# reverse 操作必须放在最后
|
||||
text, mask = reverse_forbidden_text_careful_brace(text, mask, r"\\caption\{(.*?)\}", re.DOTALL, forbid_wrapper=True)
|
||||
text, mask = reverse_forbidden_text_careful_brace(text, mask, r"\\abstract\{(.*?)\}", re.DOTALL, forbid_wrapper=True)
|
||||
text, mask = reverse_forbidden_text(text, mask, r"\\begin\{abstract\}(.*?)\\end\{abstract\}", re.DOTALL, forbid_wrapper=True)
|
||||
root = convert_to_linklist(text, mask)
|
||||
|
||||
# 修复括号
|
||||
@ -430,7 +458,7 @@ class LatexPaperSplit():
|
||||
"""
|
||||
def __init__(self) -> None:
|
||||
self.nodes = None
|
||||
self.msg = "{\\scriptsize\\textbf{警告:该PDF由GPT-Academic开源项目调用大语言模型+Latex翻译插件一键生成," + \
|
||||
self.msg = "*{\\scriptsize\\textbf{警告:该PDF由GPT-Academic开源项目调用大语言模型+Latex翻译插件一键生成," + \
|
||||
"版权归原文作者所有。翻译内容可靠性无保障,请仔细鉴别并以原文为准。" + \
|
||||
"项目Github地址 \\url{https://github.com/binary-husky/gpt_academic/}。"
|
||||
# 请您不要删除或修改这行警告,除非您是论文的原作者(如果您是论文原作者,欢迎加REAME中的QQ联系开发者)
|
||||
@ -532,11 +560,11 @@ class LatexPaperFileGroup():
|
||||
f.write(res)
|
||||
return manifest
|
||||
|
||||
def write_html(sp_file_contents, sp_file_result, chatbot):
|
||||
def write_html(sp_file_contents, sp_file_result, chatbot, project_folder):
|
||||
|
||||
# write html
|
||||
try:
|
||||
import copy
|
||||
import shutil
|
||||
from .crazy_utils import construct_html
|
||||
from toolbox import gen_time_str
|
||||
ch = construct_html()
|
||||
@ -554,6 +582,7 @@ def write_html(sp_file_contents, sp_file_result, chatbot):
|
||||
ch.add_row(a=orig, b=trans)
|
||||
create_report_file_name = f"{gen_time_str()}.trans.html"
|
||||
ch.save_file(create_report_file_name)
|
||||
shutil.copyfile(pj('./gpt_log/', create_report_file_name), pj(project_folder, create_report_file_name))
|
||||
promote_file_to_downloadzone(file=f'./gpt_log/{create_report_file_name}', chatbot=chatbot)
|
||||
except:
|
||||
from toolbox import trimmed_format_exc
|
||||
@ -634,7 +663,7 @@ def Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin
|
||||
pfg.get_token_num = None
|
||||
objdump(pfg, file=pj(project_folder,'temp.pkl'))
|
||||
|
||||
write_html(pfg.sp_file_contents, pfg.sp_file_result, chatbot=chatbot)
|
||||
write_html(pfg.sp_file_contents, pfg.sp_file_result, chatbot=chatbot, project_folder=project_folder)
|
||||
|
||||
# <-------- 写出文件 ---------->
|
||||
msg = f"当前大语言模型: {llm_kwargs['llm_model']},当前语言模型温度设定: {llm_kwargs['temperature']}。"
|
||||
@ -671,10 +700,9 @@ def remove_buggy_lines(file_path, log_path, tex_name, tex_name_pure, n_fix, work
|
||||
print("Fatal error occurred, but we cannot identify error, please download zip, read latex log, and compile manually.")
|
||||
return False, -1, [-1]
|
||||
|
||||
|
||||
def compile_latex_with_timeout(command, timeout=60):
|
||||
def compile_latex_with_timeout(command, cwd, timeout=60):
|
||||
import subprocess
|
||||
process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
|
||||
process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=cwd)
|
||||
try:
|
||||
stdout, stderr = process.communicate(timeout=timeout)
|
||||
except subprocess.TimeoutExpired:
|
||||
@ -698,24 +726,24 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
|
||||
|
||||
# https://stackoverflow.com/questions/738755/dont-make-me-manually-abort-a-latex-compile-when-theres-an-error
|
||||
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译原始PDF ...', chatbot, history) # 刷新Gradio前端界面
|
||||
os.chdir(work_folder_original); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex'); os.chdir(current_dir)
|
||||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex', work_folder_original)
|
||||
|
||||
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译转化后的PDF ...', chatbot, history) # 刷新Gradio前端界面
|
||||
os.chdir(work_folder_modified); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex'); os.chdir(current_dir)
|
||||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex', work_folder_modified)
|
||||
|
||||
if ok and os.path.exists(pj(work_folder_modified, f'{main_file_modified}.pdf')):
|
||||
# 只有第二步成功,才能继续下面的步骤
|
||||
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译BibTex ...', chatbot, history) # 刷新Gradio前端界面
|
||||
if not os.path.exists(pj(work_folder_original, f'{main_file_original}.bbl')):
|
||||
os.chdir(work_folder_original); ok = compile_latex_with_timeout(f'bibtex {main_file_original}.aux'); os.chdir(current_dir)
|
||||
ok = compile_latex_with_timeout(f'bibtex {main_file_original}.aux', work_folder_original)
|
||||
if not os.path.exists(pj(work_folder_modified, f'{main_file_modified}.bbl')):
|
||||
os.chdir(work_folder_modified); ok = compile_latex_with_timeout(f'bibtex {main_file_modified}.aux'); os.chdir(current_dir)
|
||||
ok = compile_latex_with_timeout(f'bibtex {main_file_modified}.aux', work_folder_modified)
|
||||
|
||||
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译文献交叉引用 ...', chatbot, history) # 刷新Gradio前端界面
|
||||
os.chdir(work_folder_original); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex'); os.chdir(current_dir)
|
||||
os.chdir(work_folder_modified); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex'); os.chdir(current_dir)
|
||||
os.chdir(work_folder_original); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex'); os.chdir(current_dir)
|
||||
os.chdir(work_folder_modified); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex'); os.chdir(current_dir)
|
||||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex', work_folder_original)
|
||||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex', work_folder_modified)
|
||||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_original}.tex', work_folder_original)
|
||||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error {main_file_modified}.tex', work_folder_modified)
|
||||
|
||||
if mode!='translate_zh':
|
||||
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 使用latexdiff生成论文转化前后对比 ...', chatbot, history) # 刷新Gradio前端界面
|
||||
@ -723,13 +751,11 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
|
||||
ok = compile_latex_with_timeout(f'latexdiff --encoding=utf8 --append-safecmd=subfile {work_folder_original}/{main_file_original}.tex {work_folder_modified}/{main_file_modified}.tex --flatten > {work_folder}/merge_diff.tex')
|
||||
|
||||
yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 正在编译对比PDF ...', chatbot, history) # 刷新Gradio前端界面
|
||||
os.chdir(work_folder); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex'); os.chdir(current_dir)
|
||||
os.chdir(work_folder); ok = compile_latex_with_timeout(f'bibtex merge_diff.aux'); os.chdir(current_dir)
|
||||
os.chdir(work_folder); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex'); os.chdir(current_dir)
|
||||
os.chdir(work_folder); ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex'); os.chdir(current_dir)
|
||||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex', work_folder)
|
||||
ok = compile_latex_with_timeout(f'bibtex merge_diff.aux', work_folder)
|
||||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex', work_folder)
|
||||
ok = compile_latex_with_timeout(f'pdflatex -interaction=batchmode -file-line-error merge_diff.tex', work_folder)
|
||||
|
||||
# <--------------------->
|
||||
os.chdir(current_dir)
|
||||
|
||||
# <---------- 检查结果 ----------->
|
||||
results_ = ""
|
||||
@ -741,13 +767,15 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
|
||||
results_ += f"对比PDF编译是否成功: {diff_pdf_success};"
|
||||
yield from update_ui_lastest_msg(f'第{n_fix}编译结束:<br/>{results_}...', chatbot, history) # 刷新Gradio前端界面
|
||||
|
||||
if diff_pdf_success:
|
||||
result_pdf = pj(work_folder_modified, f'merge_diff.pdf') # get pdf path
|
||||
promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot) # promote file to web UI
|
||||
if modified_pdf_success:
|
||||
yield from update_ui_lastest_msg(f'转化PDF编译已经成功, 即将退出 ...', chatbot, history) # 刷新Gradio前端界面
|
||||
os.chdir(current_dir)
|
||||
result_pdf = pj(work_folder_modified, f'{main_file_modified}.pdf')
|
||||
result_pdf = pj(work_folder_modified, f'{main_file_modified}.pdf') # get pdf path
|
||||
if os.path.exists(pj(work_folder, '..', 'translation')):
|
||||
shutil.copyfile(result_pdf, pj(work_folder, '..', 'translation', 'translate_zh.pdf'))
|
||||
promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot)
|
||||
promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot) # promote file to web UI
|
||||
return True # 成功啦
|
||||
else:
|
||||
if n_fix>=max_try: break
|
||||
@ -763,7 +791,6 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
|
||||
yield from update_ui_lastest_msg(f'由于最为关键的转化PDF编译失败, 将根据报错信息修正tex源文件并重试, 当前报错的latex代码处于第{buggy_lines}行 ...', chatbot, history) # 刷新Gradio前端界面
|
||||
if not can_retry: break
|
||||
|
||||
os.chdir(current_dir)
|
||||
return False # 失败啦
|
||||
|
||||
|
||||
|
||||
@ -27,8 +27,10 @@ def gen_image(llm_kwargs, prompt, resolution="256x256"):
|
||||
}
|
||||
response = requests.post(url, headers=headers, json=data, proxies=proxies)
|
||||
print(response.content)
|
||||
image_url = json.loads(response.content.decode('utf8'))['data'][0]['url']
|
||||
|
||||
try:
|
||||
image_url = json.loads(response.content.decode('utf8'))['data'][0]['url']
|
||||
except:
|
||||
raise RuntimeError(response.content.decode())
|
||||
# 文件保存到本地
|
||||
r = requests.get(image_url, proxies=proxies)
|
||||
file_path = 'gpt_log/image_gen/'
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
from toolbox import CatchException, report_execption, write_results_to_file
|
||||
from toolbox import update_ui
|
||||
from toolbox import update_ui, promote_file_to_downloadzone
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
from .crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
|
||||
from .crazy_utils import read_and_clean_pdf_text
|
||||
@ -147,23 +147,14 @@ def 解析PDF(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot,
|
||||
print('writing html result failed:', trimmed_format_exc())
|
||||
|
||||
# 准备文件的下载
|
||||
import shutil
|
||||
for pdf_path in generated_conclusion_files:
|
||||
# 重命名文件
|
||||
rename_file = f'./gpt_log/翻译-{os.path.basename(pdf_path)}'
|
||||
if os.path.exists(rename_file):
|
||||
os.remove(rename_file)
|
||||
shutil.copyfile(pdf_path, rename_file)
|
||||
if os.path.exists(pdf_path):
|
||||
os.remove(pdf_path)
|
||||
rename_file = f'翻译-{os.path.basename(pdf_path)}'
|
||||
promote_file_to_downloadzone(pdf_path, rename_file=rename_file, chatbot=chatbot)
|
||||
for html_path in generated_html_files:
|
||||
# 重命名文件
|
||||
rename_file = f'./gpt_log/翻译-{os.path.basename(html_path)}'
|
||||
if os.path.exists(rename_file):
|
||||
os.remove(rename_file)
|
||||
shutil.copyfile(html_path, rename_file)
|
||||
if os.path.exists(html_path):
|
||||
os.remove(html_path)
|
||||
rename_file = f'翻译-{os.path.basename(html_path)}'
|
||||
promote_file_to_downloadzone(html_path, rename_file=rename_file, chatbot=chatbot)
|
||||
chatbot.append(("给出输出文件清单", str(generated_conclusion_files + generated_html_files)))
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
|
||||
|
||||
@ -13,7 +13,9 @@ def 解析PDF(file_name, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
|
||||
# 递归地切割PDF文件,每一块(尽量是完整的一个section,比如introduction,experiment等,必要时再进行切割)
|
||||
# 的长度必须小于 2500 个 Token
|
||||
file_content, page_one = read_and_clean_pdf_text(file_name) # (尝试)按照章节切割PDF
|
||||
|
||||
file_content = file_content.encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars
|
||||
page_one = str(page_one).encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars
|
||||
|
||||
TOKEN_LIMIT_PER_FRAGMENT = 2500
|
||||
|
||||
from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
|
||||
|
||||
102
crazy_functions/联网的ChatGPT_bing版.py
Normal file
102
crazy_functions/联网的ChatGPT_bing版.py
Normal file
@ -0,0 +1,102 @@
|
||||
from toolbox import CatchException, update_ui
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, input_clipping
|
||||
import requests
|
||||
from bs4 import BeautifulSoup
|
||||
from request_llm.bridge_all import model_info
|
||||
|
||||
|
||||
def bing_search(query, proxies=None):
|
||||
query = query
|
||||
url = f"https://cn.bing.com/search?q={query}"
|
||||
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.61 Safari/537.36'}
|
||||
response = requests.get(url, headers=headers, proxies=proxies)
|
||||
soup = BeautifulSoup(response.content, 'html.parser')
|
||||
results = []
|
||||
for g in soup.find_all('li', class_='b_algo'):
|
||||
anchors = g.find_all('a')
|
||||
if anchors:
|
||||
link = anchors[0]['href']
|
||||
if not link.startswith('http'):
|
||||
continue
|
||||
title = g.find('h2').text
|
||||
item = {'title': title, 'link': link}
|
||||
results.append(item)
|
||||
|
||||
for r in results:
|
||||
print(r['link'])
|
||||
return results
|
||||
|
||||
|
||||
def scrape_text(url, proxies) -> str:
|
||||
"""Scrape text from a webpage
|
||||
|
||||
Args:
|
||||
url (str): The URL to scrape text from
|
||||
|
||||
Returns:
|
||||
str: The scraped text
|
||||
"""
|
||||
headers = {
|
||||
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.61 Safari/537.36',
|
||||
'Content-Type': 'text/plain',
|
||||
}
|
||||
try:
|
||||
response = requests.get(url, headers=headers, proxies=proxies, timeout=8)
|
||||
if response.encoding == "ISO-8859-1": response.encoding = response.apparent_encoding
|
||||
except:
|
||||
return "无法连接到该网页"
|
||||
soup = BeautifulSoup(response.text, "html.parser")
|
||||
for script in soup(["script", "style"]):
|
||||
script.extract()
|
||||
text = soup.get_text()
|
||||
lines = (line.strip() for line in text.splitlines())
|
||||
chunks = (phrase.strip() for line in lines for phrase in line.split(" "))
|
||||
text = "\n".join(chunk for chunk in chunks if chunk)
|
||||
return text
|
||||
|
||||
@CatchException
|
||||
def 连接bing搜索回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
|
||||
"""
|
||||
txt 输入栏用户输入的文本,例如需要翻译的一段话,再例如一个包含了待处理文件的路径
|
||||
llm_kwargs gpt模型参数,如温度和top_p等,一般原样传递下去就行
|
||||
plugin_kwargs 插件模型的参数,暂时没有用武之地
|
||||
chatbot 聊天显示框的句柄,用于显示给用户
|
||||
history 聊天历史,前情提要
|
||||
system_prompt 给gpt的静默提醒
|
||||
web_port 当前软件运行的端口号
|
||||
"""
|
||||
history = [] # 清空历史,以免输入溢出
|
||||
chatbot.append((f"请结合互联网信息回答以下问题:{txt}",
|
||||
"[Local Message] 请注意,您正在调用一个[函数插件]的模板,该模板可以实现ChatGPT联网信息综合。该函数面向希望实现更多有趣功能的开发者,它可以作为创建新功能函数的模板。您若希望分享新的功能模组,请不吝PR!"))
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 由于请求gpt需要一段时间,我们先及时地做一次界面更新
|
||||
|
||||
# ------------- < 第1步:爬取搜索引擎的结果 > -------------
|
||||
from toolbox import get_conf
|
||||
proxies, = get_conf('proxies')
|
||||
urls = bing_search(txt, proxies)
|
||||
history = []
|
||||
|
||||
# ------------- < 第2步:依次访问网页 > -------------
|
||||
max_search_result = 8 # 最多收纳多少个网页的结果
|
||||
for index, url in enumerate(urls[:max_search_result]):
|
||||
res = scrape_text(url['link'], proxies)
|
||||
history.extend([f"第{index}份搜索结果:", res])
|
||||
chatbot.append([f"第{index}份搜索结果:", res[:500]+"......"])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 由于请求gpt需要一段时间,我们先及时地做一次界面更新
|
||||
|
||||
# ------------- < 第3步:ChatGPT综合 > -------------
|
||||
i_say = f"从以上搜索结果中抽取信息,然后回答问题:{txt}"
|
||||
i_say, history = input_clipping( # 裁剪输入,从最长的条目开始裁剪,防止爆token
|
||||
inputs=i_say,
|
||||
history=history,
|
||||
max_token_limit=model_info[llm_kwargs['llm_model']]['max_token']*3//4
|
||||
)
|
||||
gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
|
||||
inputs=i_say, inputs_show_user=i_say,
|
||||
llm_kwargs=llm_kwargs, chatbot=chatbot, history=history,
|
||||
sys_prompt="请从给定的若干条搜索结果中抽取信息,对最相关的两个搜索结果进行总结,然后回答问题。"
|
||||
)
|
||||
chatbot[-1] = (i_say, gpt_say)
|
||||
history.append(i_say);history.append(gpt_say)
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新
|
||||
|
||||
@ -1,6 +1,7 @@
|
||||
from toolbox import CatchException, update_ui
|
||||
from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
import datetime
|
||||
import datetime, re
|
||||
|
||||
@CatchException
|
||||
def 高阶功能模板函数(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
|
||||
"""
|
||||
@ -18,12 +19,34 @@ def 高阶功能模板函数(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
|
||||
for i in range(5):
|
||||
currentMonth = (datetime.date.today() + datetime.timedelta(days=i)).month
|
||||
currentDay = (datetime.date.today() + datetime.timedelta(days=i)).day
|
||||
i_say = f'历史中哪些事件发生在{currentMonth}月{currentDay}日?列举两条并发送相关图片。发送图片时,请使用Markdown,将Unsplash API中的PUT_YOUR_QUERY_HERE替换成描述该事件的一个最重要的单词。'
|
||||
i_say = f'历史中哪些事件发生在{currentMonth}月{currentDay}日?用中文列举两条,然后分别给出描述事件的两个英文单词。' + '当你给出关键词时,使用以下json格式:{"KeyWords":[EnglishKeyWord1,EnglishKeyWord2]}。'
|
||||
gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
|
||||
inputs=i_say, inputs_show_user=i_say,
|
||||
llm_kwargs=llm_kwargs, chatbot=chatbot, history=[],
|
||||
sys_prompt="当你想发送一张照片时,请使用Markdown, 并且不要有反斜线, 不要用代码块。使用 Unsplash API (https://source.unsplash.com/1280x720/? < PUT_YOUR_QUERY_HERE >)。"
|
||||
sys_prompt='输出格式示例:1908年,美国消防救援事业发展的“美国消防协会”成立。关键词:{"KeyWords":["Fire","American"]}。'
|
||||
)
|
||||
gpt_say = get_images(gpt_say)
|
||||
chatbot[-1] = (i_say, gpt_say)
|
||||
history.append(i_say);history.append(gpt_say)
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新
|
||||
|
||||
|
||||
def get_images(gpt_say):
|
||||
def get_image_by_keyword(keyword):
|
||||
import requests
|
||||
from bs4 import BeautifulSoup
|
||||
response = requests.get(f'https://wallhaven.cc/search?q={keyword}', timeout=2)
|
||||
for image_element in BeautifulSoup(response.content, 'html.parser').findAll("img"):
|
||||
if "data-src" in image_element: break
|
||||
return image_element["data-src"]
|
||||
|
||||
for keywords in re.findall('{"KeyWords":\[(.*?)\]}', gpt_say):
|
||||
keywords = [n.strip('"') for n in keywords.split(',')]
|
||||
try:
|
||||
description = keywords[0]
|
||||
url = get_image_by_keyword(keywords[0])
|
||||
img_tag = f"\n\n"
|
||||
gpt_say += img_tag
|
||||
except:
|
||||
continue
|
||||
return gpt_say
|
||||
11
main.py
11
main.py
@ -6,8 +6,8 @@ def main():
|
||||
from request_llm.bridge_all import predict
|
||||
from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, DummyWith
|
||||
# 建议您复制一个config_private.py放自己的秘密, 如API和代理网址, 避免不小心传github被别人看到
|
||||
proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, API_KEY, AVAIL_LLM_MODELS = \
|
||||
get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY', 'AVAIL_LLM_MODELS')
|
||||
proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, API_KEY, AVAIL_LLM_MODELS, AUTO_CLEAR_TXT = \
|
||||
get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY', 'AVAIL_LLM_MODELS', 'AUTO_CLEAR_TXT')
|
||||
|
||||
# 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
|
||||
@ -104,7 +104,7 @@ def main():
|
||||
system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt)
|
||||
top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
|
||||
temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
|
||||
max_length_sl = gr.Slider(minimum=256, maximum=4096, value=512, step=1, interactive=True, label="Local LLM MaxLength",)
|
||||
max_length_sl = gr.Slider(minimum=256, maximum=8192, value=4096, step=1, interactive=True, label="Local LLM MaxLength",)
|
||||
checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区", "底部输入区", "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")
|
||||
md_dropdown = gr.Dropdown(AVAIL_LLM_MODELS, value=LLM_MODEL, label="更换LLM模型/请求源").style(container=False)
|
||||
|
||||
@ -144,6 +144,11 @@ def main():
|
||||
resetBtn2.click(lambda: ([], [], "已重置"), None, [chatbot, history, status])
|
||||
clearBtn.click(lambda: ("",""), None, [txt, txt2])
|
||||
clearBtn2.click(lambda: ("",""), None, [txt, txt2])
|
||||
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])
|
||||
# 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
|
||||
|
||||
@ -152,7 +152,7 @@ model_info = {
|
||||
"token_cnt": get_token_num_gpt4,
|
||||
},
|
||||
|
||||
# chatglm
|
||||
# 将 chatglm 直接对齐到 chatglm2
|
||||
"chatglm": {
|
||||
"fn_with_ui": chatglm_ui,
|
||||
"fn_without_ui": chatglm_noui,
|
||||
@ -161,6 +161,15 @@ model_info = {
|
||||
"tokenizer": tokenizer_gpt35,
|
||||
"token_cnt": get_token_num_gpt35,
|
||||
},
|
||||
"chatglm2": {
|
||||
"fn_with_ui": chatglm_ui,
|
||||
"fn_without_ui": chatglm_noui,
|
||||
"endpoint": None,
|
||||
"max_token": 1024,
|
||||
"tokenizer": tokenizer_gpt35,
|
||||
"token_cnt": get_token_num_gpt35,
|
||||
},
|
||||
|
||||
# newbing
|
||||
"newbing": {
|
||||
"fn_with_ui": newbing_ui,
|
||||
|
||||
@ -40,12 +40,12 @@ class GetGLMHandle(Process):
|
||||
while True:
|
||||
try:
|
||||
if self.chatglm_model is None:
|
||||
self.chatglm_tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
|
||||
self.chatglm_tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True)
|
||||
device, = get_conf('LOCAL_MODEL_DEVICE')
|
||||
if device=='cpu':
|
||||
self.chatglm_model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).float()
|
||||
self.chatglm_model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True).float()
|
||||
else:
|
||||
self.chatglm_model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
|
||||
self.chatglm_model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True).half().cuda()
|
||||
self.chatglm_model = self.chatglm_model.eval()
|
||||
break
|
||||
else:
|
||||
|
||||
@ -498,7 +498,7 @@ def on_report_generated(cookies, files, chatbot):
|
||||
else:
|
||||
report_files = find_recent_files('gpt_log')
|
||||
if len(report_files) == 0:
|
||||
return None, chatbot
|
||||
return cookies, None, chatbot
|
||||
# files.extend(report_files)
|
||||
file_links = ''
|
||||
for f in report_files: file_links += f'<br/><a href="file={os.path.abspath(f)}" target="_blank">{f}</a>'
|
||||
|
||||
4
version
4
version
@ -1,5 +1,5 @@
|
||||
{
|
||||
"version": 3.41,
|
||||
"version": 3.42,
|
||||
"show_feature": true,
|
||||
"new_feature": "增加gpt-3.5-16k的支持 <-> 新增最强Arxiv论文翻译插件 <-> 修复gradio复制按钮BUG <-> 修复PDF翻译的BUG, 新增HTML中英双栏对照 <-> 添加了OpenAI图片生成插件 <-> 添加了OpenAI音频转文本总结插件 <-> 通过Slack添加对Claude的支持"
|
||||
"new_feature": "完善本地Latex矫错和翻译功能 <-> 增加gpt-3.5-16k的支持 <-> 新增最强Arxiv论文翻译插件 <-> 修复gradio复制按钮BUG <-> 修复PDF翻译的BUG, 新增HTML中英双栏对照 <-> 添加了OpenAI图片生成插件 <-> 添加了OpenAI音频转文本总结插件 <-> 通过Slack添加对Claude的支持"
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user