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0704f9c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | # EbookBuilder
EbookBuilder is an automated system for creating high-quality ebooks using Artificial Intelligence. By leveraging the Hugging Face ecosystem, it streamlines the process from initial outline to final publication.
## 🚀 Features
- **Meta Orchestrator (Meta Agent)**: A sophisticated "Brain" that decomposes high-level user goals into specific tool calls across 12+ specialized agents.
- **Hugging Face Inference Integration**: Real-time processing using state-of-the-art models like Llama-3 and DistilBERT.
- **Comprehensive Agent Suite**: Includes agents for Market Research, Book Writing, Fact-Checking, Illustration, Legal Guard, and more.
- **Markdown-First Workflow**: Content is maintained in Markdown for maximum portability and compatibility.
- **Automated Publication**: Streamlined paths from generation to final formatting.
## 🏗️ Architecture
The system is built on a modular architecture where specialized agents handle different stages of the ebook lifecycle:
- **Market Research**: Analyzes trends and user intent.
- **Book Writer**: Generates high-quality content based on structured outlines.
- **Meta Agent**: Orchestrates the entire workflow.
- **Localization**: Style-preserving translation for global reach.
## 🛠️ Getting Started
This repository contains the core logic and knowledge base for the EbookBuilder system.
### Prerequisites
- Python 3.10+
- Hugging Face API Token
### Installation
```bash
git clone https://huggingface.co/Brettapps/brettapps
cd brettapps
pip install -r requirements.txt
```
## 📚 Documentation
The detailed knowledge base can be found in the `knowledge/` directory, covering:
- Advanced Agent Workflows
- API Integration (OpenAI, Hugging Face)
- Market Research Strategies
- Publishing and Marketing Guides
## ⚖️ License
[Specify License, e.g., MIT]
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