83 lines
2.4 KiB
Markdown
83 lines
2.4 KiB
Markdown
# 🤖 Last-In AI: Your Papers Please!
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[](https://www.python.org/downloads/)
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[](https://arxiv.org)
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[](LICENSE)
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> *"Because reading research papers manually is so 2023!"* 🎯
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## 🎭 What's This All About?
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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.
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## 🌟 Features
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- 📚 **arXiv Integration**: Fetches papers faster than you can say "peer review"
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- 🔍 **Smart Analysis**: Reads papers so you don't have to (but you probably should anyway)
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- 📊 **PDF Processing**: Turns those pesky PDFs into structured data faster than a grad student's coffee run
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- 🤹 **Orchestration**: Juggles multiple tasks like a circus professional
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## 🏗️ Architecture
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```
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src/
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├── analysis/ # Where the magic happens 🎩
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├── data_acquisition/ # Paper fetching wizardry 📥
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├── orchestration/ # The puppet master 🎭
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└── processing/ # PDF wrestling championship 📄
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```
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## 🚀 Getting Started
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1. Clone this repository (because good things should be shared)
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```bash
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git clone https://github.com/yourusername/lastin-ai.git
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cd lastin-ai
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```
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2. Install dependencies (they're like friends, but for your code)
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```bash
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pip install -r requirements.txt
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```
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3. Set up your environment (like making your bed, but more technical)
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```bash
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cp .env.example .env
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# Edit .env with your favorite text editor
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```
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## 🎮 Usage
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```python
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from src.orchestration.agent_controller import AgentController
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# Initialize the brain
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controller = AgentController()
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# Let it do its thing
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controller.process_papers("quantum_computing")
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# Now go grab a coffee, you've earned it!
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```
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## 🤝 Contributing
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Found a bug? Want to add a feature? Have a brilliant idea? We're all ears!
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Just remember:
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1. Fork it 🍴
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2. Branch it 🌿
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3. Code it 💻
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4. Test it 🧪
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5. PR it 🎯
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## 📜 License
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MIT License - Because sharing is caring! See [LICENSE](LICENSE) for more details.
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## 🎭 Fun Facts
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- This README was written by an AI (plot twist!)
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- The code is probably smarter than most of us
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- We counted the coffee cups consumed during development, but lost count at 42
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---
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Made with 💻 and questionable amounts of ☕ |