镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 14:36:48 +00:00
比较提交
6 次代码提交
version3.4
...
version3.4
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49253c4dc6 | ||
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1a00093015 | ||
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64f76e7401 | ||
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eb4c07997e | ||
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d684b4cdb3 | ||
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4290821a50 |
@@ -348,17 +348,28 @@ 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 +379,6 @@ 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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@@ -190,10 +190,10 @@ 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"https://arxiv.org/abs/2303.12712"
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# txt = r"C:\Users\fuqingxu\arxiv_cache\2303.12712\workfolder"
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@@ -430,7 +430,7 @@ class LatexPaperSplit():
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"""
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def __init__(self) -> None:
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self.nodes = None
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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," + \
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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," + \
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"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。" + \
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"项目Github地址 \\url{https://github.com/binary-husky/gpt_academic/}。"
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# 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)
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@@ -532,11 +532,11 @@ class LatexPaperFileGroup():
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f.write(res)
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return manifest
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def write_html(sp_file_contents, sp_file_result, chatbot):
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def write_html(sp_file_contents, sp_file_result, chatbot, project_folder):
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# write html
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try:
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import copy
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import shutil
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from .crazy_utils import construct_html
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from toolbox import gen_time_str
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ch = construct_html()
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@@ -554,6 +554,7 @@ def write_html(sp_file_contents, sp_file_result, chatbot):
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ch.add_row(a=orig, b=trans)
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create_report_file_name = f"{gen_time_str()}.trans.html"
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ch.save_file(create_report_file_name)
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shutil.copyfile(pj('./gpt_log/', create_report_file_name), pj(project_folder, create_report_file_name))
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promote_file_to_downloadzone(file=f'./gpt_log/{create_report_file_name}', chatbot=chatbot)
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except:
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from toolbox import trimmed_format_exc
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@@ -634,7 +635,7 @@ def Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin
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pfg.get_token_num = None
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objdump(pfg, file=pj(project_folder,'temp.pkl'))
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write_html(pfg.sp_file_contents, pfg.sp_file_result, chatbot=chatbot)
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write_html(pfg.sp_file_contents, pfg.sp_file_result, chatbot=chatbot, project_folder=project_folder)
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# <-------- 写出文件 ---------->
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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']}。"
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@@ -741,13 +742,15 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
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results_ += f"对比PDF编译是否成功: {diff_pdf_success};"
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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
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if diff_pdf_success:
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result_pdf = pj(work_folder_modified, f'merge_diff.pdf') # get pdf path
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promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot) # promote file to web UI
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if modified_pdf_success:
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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
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os.chdir(current_dir)
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result_pdf = pj(work_folder_modified, f'{main_file_modified}.pdf')
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result_pdf = pj(work_folder_modified, f'{main_file_modified}.pdf') # get pdf path
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if os.path.exists(pj(work_folder, '..', 'translation')):
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shutil.copyfile(result_pdf, pj(work_folder, '..', 'translation', 'translate_zh.pdf'))
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promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot)
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promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot) # promote file to web UI
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return True # 成功啦
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else:
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if n_fix>=max_try: break
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@@ -13,7 +13,9 @@ def 解析PDF(file_name, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
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# 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)
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# 的长度必须小于 2500 个 Token
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file_content, page_one = read_and_clean_pdf_text(file_name) # (尝试)按照章节切割PDF
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file_content = file_content.encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars
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page_one = str(page_one).encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars
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TOKEN_LIMIT_PER_FRAGMENT = 2500
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from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
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4
version
4
version
@@ -1,5 +1,5 @@
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{
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"version": 3.41,
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"version": 3.42,
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"show_feature": true,
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"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"
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"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"
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}
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