paper阅读慢？免费速读工具ChatPaper上线啦

ChatPaper已经在Hugging Face上在线了，不用配置，不用fq，即可使用。

web端：https://huggingface.co/spaces/wangrongsheng/ChatPaper
使用教程：打开可直接使用

实现展示：

import numpy as np
import os
import re
import datetime
import arxiv
import openai, tenacity
import base64, requests
import argparse
import configparser
from get_paper_from_pdf import Paper

从github截一段吧

def chat_conclusion(self, text):
        openai.api_key = self.chat_api_list[self.cur_api]
        self.cur_api += 1
        self.cur_api = 0 if self.cur_api >= len(self.chat_api_list)-1 else self.cur_api
        response = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            # prompt需要用英语替换，少占用token。
            messages=[
                {"role": "system", "content": "You are a reviewer in the field of ["+self.key_word+"] and you need to critically review this article"},  # chatgpt 角色
                {"role": "assistant", "content": "This is the <summary> and <conclusion> part of an English literature, where <summary> you have already summarized, but <conclusion> part, I need your help to summarize the following questions:"+text},  # 背景知识，可以参考OpenReview的审稿流程
                {"role": "user", "content": """                 
                 8. Make the following summary.Be sure to use Chinese answers (proper nouns need to be marked in English).
                    - (1):What is the significance of this piece of work?
                    - (2):Summarize the strengths and weaknesses of this article in three dimensions: innovation point, performance, and workload.                   
                    .......
                 Follow the format of the output later: 
                 8. Conclusion: \n\n
                    - (1):xxx;\n                     
                    - (2):Innovation point: xxx; Performance: xxx; Workload: xxx;\n                      
                 
                 Be sure to use Chinese answers (proper nouns need to be marked in English), statements as concise and academic as possible, do not repeat the content of the previous <summary>, the value of the use of the original numbers, be sure to strictly follow the format, the corresponding content output to xxx, in accordance with \n line feed, ....... means fill in according to the actual requirements, if not, you can not write.                 
                 """},
            ]
        )
        result = ''
        for choice in response.choices:
            result += choice.message.content
        print("conclusion_result:\n", result)
        return result   

更多请点击：
源仓库: https://github.com/kaixindelele/chatpaper
bilibili视频