caniwatch：驚慄電影之夜的實用小工具
Can I Watch? A helpful little tool for a scary movie night.
開發者製作了 caniwatch，一款 Python CLI，可按用戶關注事項查閲電影內容指引，並提供附有來源的簡短建議。它透過本機 Ollama 執行 Gemma 4，以 TMDB 識別電影、Tavily 搜尋一般內容提示；資料不足時會標示為「unknown」，不會猜測。用戶的關注事項不會納入公開搜尋查詢，而會留在本機，不會傳送至託管模型 API。
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle*
What I Built
Love horror, hate surprise animal cruelty? Same movie, very different evening.
I built caniwatch, a Python CLI that checks a movie against the things you'd rather avoid. Give it a title and your concerns, and it researches content guides, shows its sources, and offers a short recommendation.
Missing information stays "unknown." No guessing that silence means you're good to go.
The potential paying audience is movie fans who want personal content advice without sharing sensitive concerns with a hosted AI service. A small paid app could make this useful beyond the terminal. For now, it's a working CLI prototype, built solo.
Demo
Code
The code is MIT licensed, with setup instructions in the README.
How I Built It
I used Python, Typer, Rich, and Pydantic, with Gemma 4 running locally through Ollama.
TMDB identifies the movie, and Tavily finds general content advisories. The local model then compares that evidence against your concerns and produces a structured assessment with source references.
Your concerns never shape the public search queries. They stay on your machine.
Why Does Open Innovation Matter?
Personal content concerns can be, well, personal.
Running an open-weight model locally lets me offer that assessment without sending those details to a hosted model API. I can inspect the prompts, change the model, and improve the workflow myself.
The movie research still needs internet access. The personal part runs locally, without a hosted inference bill on every check. That gives a small project like this more room to become a viable product.
My First User
My partner! She didn't pay but liked the concept, and we plan to use it for future scary movie evenings.
Happy Halloween, everyone!
來源：DEV Community · dev.to