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
circuscritic@lemmy.ca 3 hours ago
Since no one is leaving critical comments that might explain all your downvotes, I’m going to assume they’re reflexively anti-AI.
But one of the benign useful things I use already AI for, is giving it criterias for shows and asking it to generate lists.
So I think your project is pretty neat and well within the scope of actually useful things that AI models, especially local ones, can provide the users.
u_tamtam@programming.dev 2 hours ago
LLMs are not the tool for a recommender job
eksb@programming.dev 3 hours ago
No LLM use is benign. The affects on the environment, the internet, and society are uniformly bad, and that cannot be ignored.
You can make the argument that in some cases it is justified, e.g.: for scientific research.
eager_eagle@lemmy.world 3 hours ago
chill, this is extracting text embeddings from a local model, not generating feature-length films
circuscritic@lemmy.ca 3 hours ago
So running a local model is unforgivable, but “scientific research” running on hyperscalers, can be justified?
irmadlad@lemmy.world 3 hours ago
Didn’t down vote you. I hear this line of complaint in conjunction with AI, especially if the person saying it is anti-AI. Without even calculating in AI, some 25 million metric tons of CO2 emissions annually from streaming and content consumption. Computers, smartphones, and tablets can emit around 200 million metric tons CO2 per year in electrical consumption. Take data centers for instance. If they are powered by fossil fuels, this can add about 100 million metric tons of CO2 emissions. Infrastructure contributes around 50 million metric tons of CO2 per year.
Now…who wants to turn off their servers and computers? Volunteers? While it is true that AI does contribute, we’re already pumping out some significant CO2 without it. Until we start switching to renewable energy globally, this will continue to climb with or without AI. It seems tho, that we will have to deplete the fossil fuel supply globally before renewables become the de facto standard.
illusionist@lemmy.zip 2 hours ago
Huh? There are other ways to link similarities of movies without the use of a llm. You may use ai to find similar movies but it’s nonsense that everyone has to ask a llm to link movies.
eager_eagle@lemmy.world 2 hours ago
no one is saying everyone has to ask an LLM for movie recommendations