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fix

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This commit is contained in:
lbykkkk
2024-12-02 00:11:41 +08:00
parent 51ea7f3b5e
commit 2f946f3e6c
2 changed files with 8 additions and 8 deletions
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6
crazy_functional.py
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@@ -91,9 +91,9 @@ def get_crazy_functions():
"Color": "stop",
"AsButton": False,
"AdvancedArgs": True,
"Info": "通过在高级参数区写入prompt，可自定义询问逻辑，默认情况下为总结逻辑 | 输入参数为路径",
"ArgsReminder": r"1、请不要更改上方输入框中以“private_upload/...”开头的路径。 "
r"2、请在下方高级参数区中输入你的prompt，文档中的内容将被添加你的prompt后。3、示例：“这篇文章的方法是什么：” ",
"Info": "在输入区中输入论文ID，在高级参数区中输入问题",
"ArgsReminder": r"1、请在输入区中输入arxiv ID。 "
r"2、请在下方高级参数区中输入你的问题，示例：“这篇文章的方法是什么，请用中文回答我” ",
"Function": HotReload(Arxiv论文对话),
},
"翻译README或MD": {

10
crazy_functions/Arxiv_论文对话.py
View File

@@ -428,9 +428,10 @@ def Arxiv论文对话(txt: str, llm_kwargs: Dict, plugin_kwargs: Dict, chatbot:
if txt.lower().strip().startswith(('https://arxiv.org', 'arxiv.org', '0', '1', '2')) and not arxiv_worker.loading:
chatbot.append((txt, "正在处理论文，请稍等..."))
yield from update_ui(chatbot=chatbot, history=history)
fragments, formatted_content, fragment_output_dir = process_arxiv_sync(arxiv_worker.arxiv_splitter, arxiv_id)
promote_file_to_downloadzone(fragment_output_dir, chatbot=chatbot)
chatbot.append(["论文下载成功，接下来将编码论文，预计等待两分钟，请耐心等待，等待过程中，可以查看论文：", formatted_content])
fragments, formatted_content, fragment_output_files = process_arxiv_sync(arxiv_worker.arxiv_splitter, arxiv_id)
for file in fragment_output_files:
promote_file_to_downloadzone(file, chatbot=chatbot)
chatbot.append(["论文文字内容已保存至下载区，接下来将进行论文编码，请耐心等待三分钟，论文的文字内容为：", formatted_content])
yield from update_ui(chatbot=chatbot, history=history)
try:
# 创建新的事件循环
@@ -478,8 +479,7 @@ def Arxiv论文对话(txt: str, llm_kwargs: Dict, plugin_kwargs: Dict, chatbot:
fragments, formatted_content, fragment_output_files = process_arxiv_sync(arxiv_worker.arxiv_splitter, arxiv_id)
for file in fragment_output_files:
promote_file_to_downloadzone(file, chatbot=chatbot)
chatbot.append(["论文的文字内容为：", formatted_content])
chatbot.append(["处理完成", f"论文文字内容已保存至下载区"])
chatbot.append(["论文文字内容已保存至下载区，论文的文字内容为：", formatted_content])
yield from update_ui(chatbot=chatbot, history=history)
if not user_query:
user_query = "What is the main research question or problem addressed in this paper?"