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reader3

A lightweight self-hosted EPUB reader designed to read books chapter-by-chapter alongside large language models (LLM).

Detailed Introduction

reader3 is a minimal, self-hosted EPUB reader designed to present books one chapter at a time, making it easy to copy chapter text into large language models (LLM) for joint reading, summarization, or question-answering. The repository stores a small Python-based reader and a lightweight server to browse a local library of EPUBs. The project is published under an MIT license and is intended as an illustrative, experimental tool rather than a production-ready product.

Main Features

  • Chapter-by-chapter reading: present EPUB content per chapter to facilitate model interaction.
  • Lightweight self-hosted: single-file scripts and a tiny static server for easy local deployment.
  • LLM-friendly workflow: designed to simplify copying chapter text into models for Q&A or annotation.
  • Open source: MIT-licensed for experimentation and modification.

Use Cases

  • Joint reading with LLMs: have a model summarize or annotate chapters as you progress.
  • Teaching and demos: an easy example for showing how to combine reading and LLM assistance.
  • Private local reader: a privacy-friendly way to manage and read EPUBs locally.
  • Prototyping: a minimal base for projects that integrate reading experiences with models.

Technical Features

The project is implemented in Python and serves static chapter pages from a small local server (server.py). It relies on minimal runtime tooling (for example, uv) to run and generate a simple library directory from EPUB files. Workflow: add an EPUB → parse chapters → run the server to browse chapter pages. The repository intentionally avoids including external credentials or third-party APIs; it focuses on portability and demonstrative value.

reader3
Resource Info
🎵 Vibe Coding 📱 Application 🌱 Open Source