7e7f3ff732
feat: making prompt be more generic with tags
2025-02-26 20:53:12 +00:00
3fe48464e4
feat: using different prompt
2025-02-26 20:49:55 +00:00
d1d6ee6762
fix: some spam from get images request
2025-02-26 20:48:52 +00:00
ad61b8e1fa
fix: getting user images
2025-02-26 20:09:19 +00:00
d8095b0c67
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
410270e217
refactor: using chi router + bug fixes
2025-02-26 18:04:30 +00:00
5bec6c9590
fix: actually saving to the correct db table
2025-02-26 15:54:27 +00:00
971f705288
fix: actually returning all the user images
...
fix
2025-02-24 21:19:59 +00:00
13ebd80ce9
chore: documentation
2025-02-24 21:04:25 +00:00
b99432c202
feat: saving AI information to database
2025-02-24 21:00:05 +00:00
ee0587a16b
feat: method for getting images
2025-02-24 20:05:56 +00:00
64f6bde6a9
feat: methods to get image
2025-02-24 20:02:58 +00:00
f49589907a
feat: instructions for docker compose
2025-02-24 20:02:54 +00:00
2115da85b5
feat: working docker image and compose file
2025-02-24 19:44:19 +00:00
43092fa4f5
feat: using parsing on response
2025-02-24 19:05:11 +00:00
46e4043994
chore: updating gitignore
...
fix
2025-02-24 19:01:18 +00:00
24ef31e00f
feat: parsing response from open ai
...
bruh
2025-02-24 19:01:18 +00:00
97b1619b01
refactor: moving all files to backend
2025-02-22 23:30:59 +00:00
