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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.

πŸš€ 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.

πŸ—οΈ 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.

πŸ› 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

πŸ“š 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

βš–οΈ License

[Specify License, e.g., MIT]

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