镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 14:36:48 +00:00
fix bugs
这个提交包含在:
@@ -1,12 +1,13 @@
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from toolbox import update_ui, trimmed_format_exc, get_conf, objdump, objload, promote_file_to_downloadzone
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from toolbox import CatchException, report_execption, update_ui_lastest_msg, zip_result, gen_time_str
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from functools import partial
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import glob, os, requests, time
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pj = os.path.join
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ARXIV_CACHE_DIR = os.path.expanduser(f"~/arxiv_cache/")
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# =================================== 工具函数 ===============================================
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专业词汇声明 = 'If the term "agent" is used in this section, it should be translated to "智能体". '
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def switch_prompt(pfg, mode):
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def switch_prompt(pfg, mode, more_requirement):
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"""
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Generate prompts and system prompts based on the mode for proofreading or translating.
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Args:
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@@ -25,7 +26,7 @@ def switch_prompt(pfg, mode):
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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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elif mode == 'translate_zh':
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inputs_array = [r"Below is a section from an English academic paper, translate it into Chinese. " + 专业词汇声明 +
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inputs_array = [r"Below is a section from an English academic paper, translate it into Chinese. " + more_requirement +
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r"Do not modify any latex command such as \section, \cite, \begin, \item and equations. " +
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r"Answer me only with the translated text:" +
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f"\n\n{frag}" for frag in pfg.sp_file_contents]
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@@ -79,7 +80,7 @@ def arxiv_download(chatbot, history, txt):
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os.makedirs(translation_dir)
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target_file = pj(translation_dir, 'translate_zh.pdf')
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if os.path.exists(target_file):
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promote_file_to_downloadzone(target_file)
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promote_file_to_downloadzone(target_file, rename_file=None, chatbot=chatbot)
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return target_file
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return False
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def is_float(s):
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@@ -88,8 +89,10 @@ def arxiv_download(chatbot, history, txt):
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return True
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except ValueError:
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return False
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if ('.' in txt) and ('/' not in txt) and is_float(txt):
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if ('.' in txt) and ('/' not in txt) and is_float(txt): # is arxiv ID
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txt = 'https://arxiv.org/abs/' + txt
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if ('.' in txt) and ('/' not in txt) and is_float(txt[:10]): # is arxiv ID
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txt = 'https://arxiv.org/abs/' + txt[:10]
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if not txt.startswith('https://arxiv.org'):
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return txt, None
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@@ -177,7 +180,8 @@ 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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yield from Latex精细分解与转化(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, mode='proofread_latex', switch_prompt=switch_prompt)
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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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# <-------------- compile PDF ------------->
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@@ -208,6 +212,10 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
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"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。"])
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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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@@ -255,11 +263,12 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
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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_translate_zh.tex'):
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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)
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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='translate_zh', 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_translate_zh',
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success = yield from 编译Latex(chatbot, history, main_file_original='merge', main_file_modified='merge_translate_zh', mode='translate_zh',
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work_folder_original=project_folder, work_folder_modified=project_folder, work_folder=project_folder)
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# <-------------- zip PDF ------------->
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