* build: add typesense to docker
* feat(server): typesense search
* feat(web): search
* fix(web): show api error response message
* chore: search tests
* chore: regenerate open api
* fix: disable typesense on e2e
* fix: number properties for open api (dart)
* fix: e2e test
* fix: change lat/lng from floats to typesense geopoint
* dev: Add smartInfo relation to findAssetById to be able to query against it
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Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
* Use multi stage build to slim down ML image size
* Use gunicorn as WSGI server in ML image
* Configure gunicorn server for ML use case
* Use requirements.txt file to install python dependencies in ML image
* Make ML listen IP configurable
* rebuilding gridview
* adds listview, gridview and responsive display to backup album selection
* aligned selection info title and chips to the left
* fixed search
* style: album tile
---------
Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
* adds onboarding
* fixed error where login was taking you to permission page
* fixed a bad rebase and added more checks to not start backup service on login if no gallery permission
* forgot the permission handler import in AppDelegate
* reverts album selection page
* change to ref watch
* added device_info_plus to podspec
* removed unused import
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Co-authored-by: Marty Fuhry <marty@fuhry.farm>
* chore: update package-lock.json version
* rfix(server) long album load time
* remove all eagerness
* generate index
* remove console.log
* remove deadcode
* fix: shared link album owner
* Install nightly release of pytorch to enable ML support for arm CPUs
* Remove linux/arm/v7 from ML docker builds
* Add --no-cache-dir to torch installation command in ML image build
* Use PIP_NO_CACHE_DIR option in ML build to further decrease image size
* fix(machine-learning): Add the command to execute at startup
Previously it wasn't set in the Docker container but it should be.
* fix(docker): remove machine-learning command arg
* fix(docker): machine-learning CMD argument
