I Built a Python script that uses a local Ollama LLM to automatically find and add movies to Radarr.

It picks random films from your library, asks Ollama for similar suggestions based on theme and atmosphere, validates against OMDb, scores with plot embeddings, then adds the top results to Radarr automatically.

Examples:

  • Whiplash → La La Land, Birdman, All That Jazz
  • The Thing → In the Mouth of Madness, It Follows, The Descent
  • In Bruges → Seven Psychopaths, Dead Man’s Shoes

Features:

  • 100% local, no external AI API
  • –auto mode for daily cron/Task Scheduler
  • –genre “Horror” for themed movie nights
  • Persistent blacklist, configurable quality profile
  • Works on Windows, Linux, Mac

GitHub: https://github.com/nikodindon/radarr-movie-recommender

  • Eager Eagle@lemmy.worldEnglish
    6·
    6 hours ago

    chill, this is extracting text embeddings from a local model, not generating feature-length films

    that’s like saying “no jet use is benign” meant for comparing a private jet to a jet-ski

    the generative aspect is not even used here