439f729150
fix: returning whole tag object
2025-03-16 18:29:15 +00:00
1d5d90c3b5
refactor(models): using more organised structure
2025-03-16 18:13:30 +00:00
d4c6aa0310
feat(tags): correctly inserting new tags and adding them to images
2025-03-11 22:47:28 +00:00
9e3896a30f
feat: super basic image search
2025-03-08 15:37:10 +00:00
03a4d49ee6
feat: sending base64 image to backend
...
This is silly, but binary is apparently hard to do????
2025-03-08 12:30:16 +00:00
53c4ec1869
fix: using json response header
2025-03-07 14:14:40 +00:00
5192aeb70f
wip: Using mistral instead of OpenAi
2025-03-07 13:42:50 +00:00
1f16cfb30b
refactor: tables for image and processing_image
...
This allows a single table to be used to process images, meaning if
anything happens to the system we can always return to polling the
database and process these images individually.
Because of this we also want an `image` table to contain the actual
binary data for the image, so we aren't selecting and writing it each
time, as it is potentially a bottleneck.
2025-02-26 20:01:56 +00:00
2a37e37c4b
refactor: using chi router + bug fixes
2025-02-26 18:04:30 +00:00
c36fb1c0d6
feat: saving AI information to database
2025-02-24 21:00:05 +00:00
e26835861d
feat: method for getting images
2025-02-24 20:05:56 +00:00
e69d7b5c08
feat: methods to get image
2025-02-24 20:02:58 +00:00
c9cd0df9ca
feat: working docker image and compose file
2025-02-24 19:44:19 +00:00
050126116c
refactor: moving all files to backend
2025-02-22 23:30:59 +00:00
