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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.
π 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.
ποΈ 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.
π οΈ Getting Started
This repository contains the core logic and knowledge base for the EbookBuilder system.
Prerequisites
- Python 3.10+
- Hugging Face API Token
Installation
git clone https://huggingface.co/Brettapps/brettapps
cd brettapps
pip install -r requirements.txt
π 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
βοΈ License
[Specify License, e.g., MIT]
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