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Brad Lance ed4a37ac2a Fix: Rate button now works on reading log il y a 3 mois
app ed4a37ac2a Fix: Rate button now works on reading log il y a 3 mois
.env.example 8c681f5d40 Switch AI backend from Claude to Gemini il y a 3 mois
.gitignore e1e9d13f7c Add Audiobookshelf recommendation system il y a 3 mois
README.md 47f038a0f7 Rename application to 'Dewy Oracle' il y a 3 mois
absrecommend.service 47f038a0f7 Rename application to 'Dewy Oracle' il y a 3 mois
download-all-covers.py 47774cb200 Fix: Download and cache book cover images locally il y a 3 mois
fix-cover-urls.py c00db3aad5 Fix: Proxy book cover images through authenticated endpoint il y a 3 mois
main.py 47f038a0f7 Rename application to 'Dewy Oracle' il y a 3 mois
migrate_database.py 000cd2ad4a Add admin panel, service management, and deployment tooling il y a 3 mois
remove-service.sh 000cd2ad4a Add admin panel, service management, and deployment tooling il y a 3 mois
requirements.txt 52245e6f69 Add multi-user authentication and reading log features il y a 3 mois
reset-password.py 000cd2ad4a Add admin panel, service management, and deployment tooling il y a 3 mois
restart-service.sh 000cd2ad4a Add admin panel, service management, and deployment tooling il y a 3 mois
revert-cover-urls.py c00db3aad5 Fix: Proxy book cover images through authenticated endpoint il y a 3 mois
setup-service.sh 000cd2ad4a Add admin panel, service management, and deployment tooling il y a 3 mois
test-auth.py 000cd2ad4a Add admin panel, service management, and deployment tooling il y a 3 mois

README.md

Dewy Oracle

A web application that tracks your Audiobookshelf listening history and provides AI-powered book recommendations.

Features

  • Syncs with Audiobookshelf server to track reading progress
  • AI-powered book recommendations based on your listening history
  • Web interface to view history and recommendations
  • REST API for programmatic access

Setup

  1. Install dependencies:

    pip install -r requirements.txt

  2. Configure environment variables:

    cp .env.example .env
# Edit .env with your Audiobookshelf URL, API token, and AI API key

  3. Run the application:

    python main.py

  4. Access the web interface at http://localhost:8000

API Endpoints

  • GET / - Web interface
  • GET /api/sync - Sync with Audiobookshelf
  • GET /api/recommendations - Get book recommendations
  • GET /api/history - View listening history

Configuration

See .env.example for all configuration options.