paper-reviewer
P
Paper Reviewer
Overview :
paper-reviewer is an open-source project designed to automate the generation of comprehensive reviews from arXiv papers and convert them into blog posts. This project provides a set of tools to help users build their own paper review blogs. It is implemented through two Python scripts, collect.py and convert.py, which are responsible for gathering reviews and converting them into blog posts, respectively. This tool is extremely beneficial for researchers and academics, as it saves time reviewing papers and helps share research outcomes more effectively.
Target Users :
The target audience includes researchers, academics, and tech bloggers. Researchers and academics can quickly review papers using this tool and share them on their blogs to increase the visibility of their research findings. Tech bloggers can utilize this tool to gather the latest academic resources, enriching their blog content.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 54.9K
Use Cases
Researchers use paper-reviewer to review the latest papers on artificial intelligence and publish them on their blogs.
Academics leverage this tool to transform complex mathematical paper reviews into easy-to-understand blog posts to share with peers.
Tech bloggers use paper-reviewer to gather the latest computer science papers, regularly updating their blog content.
Features
Collect and generate reviews for specific arXiv IDs
Convert collected review content into blog posts
Support the use of Upstage's document parsing features to extract image information
Allow image uploads to R2 cloud storage
Generate blog posts following a fixed design template
Customize templates to meet different blog design needs
Run via command line tools, making it easy to integrate into other workflows
How to Use
1. Install the required dependencies, including the Python environment and Poppler tools.
2. Set environment variables as needed, such as GEMINI_API_KEY and UPSTAGE_API_KEY.
3. Use the collect.py script to gather review information for specific arXiv IDs.
4. Run the convert.py script to convert the collected review information into blog posts.
5. Customize the blog post template as needed.
6. Publish the generated blog post on your personal blog or website.
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