TLDRxiv is an interactive platform designed to enhance the academic research experience by providing AI-assisted exploration of arXiv papers. It combines the comprehensive database of arXiv with modern AI capabilities to help researchers quickly understand, analyze, and discover scientific literature.

• Paper Summaries: Get concise TLDRs of complex research papers
• Interactive Chat: Ask questions about papers and get AI-powered responses
• Citation Analysis: Explore paper citations and references with detailed metadata
• BibTeX Citations: Easily copy properly formatted citations for your research
• Podcast Generation: Convert papers to podcasts for on-the-go learning

• Backend: FastAPI (Python)
• Frontend: HTML, Tailwind CSS, JavaScript
• AI Integration: Google Gemini API for chat capabilities, OpenAI API for text-to-speech
• Data Sources: arXiv API, Semantic Scholar API
• Rendering: KaTeX for LaTeX equations, Marked.js for Markdown

1. Clone the repository

   git clone https://github.com/Bloomh/tldrxiv.git
   cd tldrxiv

2. Set up a virtual environment

   python3 -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies

   pip install -r requirements.txt

4. Configure environment variables

   cp .env.template .env

   Edit the .env file and add your API keys and configuration settings.

python main.py

The application will be available at http://localhost:8000

tldrxiv/
├── main.py                # FastAPI application entry point
├── utils/                 # Utility functions
│   ├── arxiv_utils.py     # arXiv API integration
│   ├── sem_scholar_utils.py  # Semantic Scholar API integration
│   └── gemini_utils.py    # Google Gemini API integration
├── templates/             # HTML templates
│   ├── home.html          # Homepage template
│   ├── paper.html         # Paper view template
│   └── components/        # Reusable UI components
├── static/                # Static assets
│   ├── css/               # CSS files
│   ├── js/                # JavaScript files
│   └── images/            # Image assets
└── requirements.txt       # Python dependencies