wehub-resource-sync
87 lines
3.4 KiB
Markdown
87 lines
3.4 KiB
Markdown
# Book Character Mind Map With Llama4 Maverick
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Book Mind is a web application that allows users to explore character relationships and storylines in books using AI-powered visualizations.
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This leverages **Llama 4 Maverick**'s impressive 1M token context windows to process entire books at once, enabling comprehensive analysis of complex narratives and character relationships across lengthy texts.
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## Features
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### Leverage Long Context Length
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| Model | Meta Llama4 Maverick | Meta Llama4 Scout | OpenAI GPT-4.5 | Claude Sonnet 3.7 |
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| ----- | -------------- | -------------- | -------------- | -------------- |
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| Context Window | 1M tokens | 10M tokens | 128K tokens | 1K tokens | 200K tokens |
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Because of the long context length, Book Mind can process entire books at once, providing a comprehensive understanding of complex narratives and character relationships.
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- Interactive Mind Maps: Visualize relationships between characters and plot elements.
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- Book Summaries: Get concise overviews of plots and themes.
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### Step-by-Step Instructions
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We implemented a step-by-step approach to ensure the model outputs' reliability.
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1. **Character Identification**: Identify all characters in the book and summarize their roles.
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```
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You are a highly detailed literary analyst AI. Your sole mission is to meticulously extract comprehensive information about characters and the *nuances* of their relationships from the provided text segment. This data will be used later to build a relationship graph.
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```
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2. **Character Relationships**: Determine the relationships between characters.
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```
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You are an expert data architect AI specializing in transforming literary analysis into structured graph data. Your task is to synthesize character and relationship information into a specific JSON format containing nodes and links, including a title and summary.
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```
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3. **JSON Format**: Output the results in a JSON format for easy parsing and visualization.
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```
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You are an extremely precise and strict JSON extractor.
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Extract only the complete JSON object from the input. Get the last one if there are multiple.
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```
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### Ask the Book with Chat Interface
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We also implemented a chat interface to interact with the book. Users can ask questions about the book's characters, plot, and relationships. The model will respond with a concise answer based on the book's content and the relationships between characters.
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```
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You are an expert search AI designed to help users find detailed information about character relationships from a book. Your task is to assist users in querying the relationship data extracted from the book.
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```
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## Getting Started
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### Frontend Setup
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To communicate with the [server/server.py](server/server.py), we use `React.js` and `axios`.
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1. Install dependencies:
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```
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npm install
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```
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2. Run the application:
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```
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npm start
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```
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### Server Setup
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We use `Flask` to serve the model's responses and `vllm` to run the **Llama 4 Maverick** model.
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1. Install dependencies:
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```
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cd server
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pip install -r requirements.txt
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```
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2. Run the server:
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```
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python server.py
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```
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## Get Copyright Free Books
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- [Project Gutenberg](https://www.gutenberg.org/)
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- [Romeo and Juliet](https://www.gutenberg.org/ebooks/1513): 50,687 input tokens
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- [Moby-Dick; The Whale](https://www.gutenberg.org/ebooks/2701): 318,027 input tokens
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