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🤖 Last-In AI: Your Papers Please! - Work in Progress
"Because reading research papers manually is so 2023!" 🎯
🎭 What's This All About?
Last-In AI is your friendly neighborhood research paper analyzer that turns those dense academic PDFs into digestible insights. Think of it as your very own academic paper whisperer, but with more silicon and less caffeine.
🌟 Features
- 📚 arXiv Integration: Fetches papers faster than you can say "peer review"
- 🔍 Smart Analysis: Reads papers so you don't have to (but you probably should anyway)
- 📊 PDF Processing: Turns those pesky PDFs into structured data faster than a grad student's coffee run
- 🤹 Orchestration: Juggles multiple tasks like a circus professional
🏗️ Architecture
src/
├── analysis/ # Where the magic happens 🎩
├── data_acquisition/ # Paper fetching wizardry 📥
├── orchestration/ # The puppet master 🎭
└── processing/ # PDF wrestling championship 📄
docker/ # Container configuration 🐳
├── Dockerfile # Multi-stage build definition
├── docker-compose.yml # Service orchestration
└── README.md # Docker setup documentation
🚀 Getting Started
Method 1: Local Installation
- Clone this repository (because good things should be shared)
git clone https://github.com/yourusername/lastin-ai.git
cd lastin-ai
- Install dependencies (they're like friends, but for your code)
pip install -r requirements.txt
- Set up your environment (like making your bed, but more technical)
cp .env.example .env
# Edit .env with your favorite text editor
Method 2: Docker Installation 🐳
- Clone and navigate to the repository
git clone https://github.com/yourusername/lastin-ai.git
cd lastin-ai
- Set up environment variables
cp .env.example .env
# Edit .env with your configuration
- Build and run with Docker Compose
docker compose -f docker/docker-compose.yml up --build
For detailed Docker setup and configuration options, see Docker Documentation.
🎮 Usage
from src.orchestration.agent_controller import AgentController
# Initialize the brain
controller = AgentController()
# Let it do its thing
controller.process_papers("quantum_computing")
# Now go grab a coffee, you've earned it!
🛠️ Development
Running Tests
# Local
python -m pytest
# Docker
docker compose -f docker/docker-compose.yml run --rm app python -m pytest
Environment Variables
- See
.env.examplefor required configuration - Docker configurations are documented in
docker/README.md
🤝 Contributing
Found a bug? Want to add a feature? Have a brilliant idea? We're all ears! Just remember:
- Fork it 🍴
- Branch it 🌿
- Code it 💻
- Test it 🧪
- PR it 🎯
📜 License
MIT License - Because sharing is caring! See LICENSE for more details.
🎭 Fun Facts
- This README was written by an AI (plot twist!)
- The code is probably smarter than most of us
- We counted the coffee cups consumed during development, but lost count at 42
Made with 💻 and questionable amounts of ☕
Description
First attempt in working with AI code editors and I have tried roo code and cline. Lots of problems with Deepseek API and also Claude rate limits and api errors galore.
Languages
Python
89.2%
Dockerfile
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