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Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

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Traceback (most recent call last): File "chat_paper.py", line 412, in main(args=args) File "chat_paper.py", line 382, in main paper_list = [Paper(path=args.pdf_path)] File "/Users/apple/Documents/workspace/python/ChatPaper/get_paper_from_pdf.py", line 14, in __init__ self.title = self.get_title() File...

请问有遇到封号情况嘛,max_result 参数设置20 + 国外云服务器动态IP配置被封了,不知道是否是一次性调用API次数过多的原因

本地PDF,运行了一段时间后报错。 python .\chat_paper.py --pdf_path '.\localpdf\2022-CVPR-Learning_To_Imagine_Diversify_Memory_for_Incremental_Learning_Using_Unlabeled_Data.pdf' Traceback (most recent call last): File "D:\STUDY\code\ChatPaper\chat_paper.py", line 478, in main(args=args) File "D:\STUDY\code\ChatPaper\chat_paper.py", line 446, in main reader1.summary_with_chat(paper_list=paper_list) File "D:\STUDY\code\ChatPaper\chat_paper.py", line 187, in summary_with_chat htmls.append(chat_summary_text)...

bug

一个小建议,关于 Query 与实际检索结果匹配度不高的问题或许可以通过引入 Semantic Scholar API 来解决,可参见[文档](https://www.semanticscholar.org/product/api)。 1. Semantic Scholar 的检索效果比 ArXiv 自带的要强 (个人感觉,未经过严格测试) 2. 数据来源更广,可以解决 ArXiv 不能查到想要文献的问题 3. Semantic Scholar API 的接入成本比较低 4. Semantic Scholar API 提供了按照作者、引文分析的的功能,进一步扩展的空间比较大

feature request

(base) jingxiao@ec2-34-215-129-247 ChatPaper-main % pip install arxiv Requirement already satisfied: arxiv in /Users/jingxiao/opt/anaconda3/lib/python3.9/site-packages (1.4.3) Requirement already satisfied: feedparser in /Users/jingxiao/opt/anaconda3/lib/python3.9/site-packages (from arxiv) (6.0.10) Requirement already satisfied: sgmllib3k in /Users/jingxiao/opt/anaconda3/lib/python3.9/site-packages (from...