📚 AI Book Maker

An intelligent book creation tool that uses GPT-4o and Perplexity AI to automatically generate well-researched, structured books on any topic.

🌟 Features

• Automated Book Outline Generation: Creates detailed chapter structures with research questions
• Parallel Research Processing: Efficiently researches multiple chapters simultaneously
• Smart Chapter Writing: Converts research into coherent, engaging chapters
• Real-time Progress Updates: Colorful console output showing progress
• Beautiful Markdown Output: Final book is formatted in clean, readable markdown

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🔧 Prerequisites

• Python 3.7+
• OpenAI API key
• Perplexity API key

⚡ Quick Start

1. Clone the repository

   git clone <repository-url>
   cd book-maker

2. Install dependencies

   pip install -r requirements.txt

3. Set up environment variables

   Windows:

   set OPENAI_API_KEY=your-openai-key
   set PERPLEXITY_API_KEY=your-perplexity-key

   Linux/Mac:

   export OPENAI_API_KEY=your-openai-key
   export PERPLEXITY_API_KEY=your-perplexity-key

4. Run the book maker

   python book_maker.py

🎯 Detailed Process Flow

1. Book Outline Generation

   • GPT-4O receives your topic and generates a structured outline
   • Returns a JSON object containing:

     {
       "title": "Book Title",
       "chapters": [
         {
           "title": "Chapter Title",
           "description": "Brief chapter overview",
           "research_questions": [
             "Specific question 1?",
             "Specific question 2?",
             "..."
           ]
         }
       ]
     }

2. Research Process

   • Questions for each chapter are processed in parallel
   • For each chapter:

     research_data = await perplexity_client.research(questions)

   • Batching system:
     • Processes 10 chapters simultaneously (configurable)
     • Implements rate limiting (1 second between batches)
     • Handles API throttling gracefully

3. Chapter Writing

   • Research data is fed to GPT-4O-Mini
   • Each chapter is written sequentially to maintain narrative flow
   • Real-time updates:

     🎯 Generating outline...
     📚 Researching Chapter 1...
     ✍️ Writing Chapter 1...
     📝 Updating book.md...

4. Output Generation

   • Markdown file is updated after each chapter
   • Progress is visible in real-time
   • Colored console output shows status

📋 Output Format

The generated book will be saved in markdown format with:

• Book title
• Numbered chapters
• Well-formatted content
• Clean hierarchy

Example structure:

# Book Title

## Chapter 1: Chapter Title
[Chapter content...]

## Chapter 2: Chapter Title
[Chapter content...]

⚙️ Configuration

Key constants in book_maker.py:

• MAX_PARALLEL_REQUESTS: Number of concurrent research requests (default: 10)
• SLEEP_BETWEEN_REQUESTS: Delay between batch requests in seconds (default: 1)
• OUTPUT_FILE: Output file name (default: "book.md")

🚨 Error Handling

The script includes comprehensive error handling:

• API connection issues
• File writing errors
• JSON parsing errors
• All errors are displayed with descriptive colored messages

📝 Notes

• The quality of the book depends on the API response quality
• Longer books will take more time to generate
• Keep your API keys secure and never commit them to version control
• Research questions are automatically generated based on chapter context
• Each chapter typically generates 3-5 focused research questions
• Research data is processed and synthesized before writing

🔒 API Key Security

Always use environment variables for API keys. Never hardcode them in the script.

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