Movie Picker is a webapp that recommends movies based on your individual preferences. It uses K-nearest neighbors with some other tricks to accomplish its goal.
This was created as a part of my journey in the Google Front-End Web Dev Challenge Scholarship.
- Place your existing db in the scrape folder.
- Start container with
docker-compose up docker container lsto find container id (fda47af889c5 in this case)docker container exec -it fda47af889c5 bashcd scrape\ imdb/ && python3 scrapeTop250.py.
You can edit files within the container as needed (will update outside files as well)
Db will be updated with new top 250 movies. Old movies will be kept. Outdated data (eg. images) will be refreshed.