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feat(ml)!: customizable ML settings (#3891)

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* consolidated endpoints, added live configuration

* added ml settings to server

* added settings dashboard

* updated deps, fixed typos

* simplified modelconfig

updated tests

* Added ml setting accordion for admin page

updated tests

* merge `clipText` and `clipVision`

* added face distance setting

clarified setting

* add clip mode in request, dropdown for face models

* polished ml settings

updated descriptions

* update clip field on error

* removed unused import

* add description for image classification threshold

* pin safetensors for arm wheel

updated poetry lock

* moved dto

* set model type only in ml repository

* revert form-data package install

use fetch instead of axios

* added slotted description with link

updated facial recognition description

clarified effect of disabling tasks

* validation before model load

* removed unnecessary getconfig call

* added migration

* updated api

updated api

updated api

---------

Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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Mert 2023-08-29 09:58:00 -04:00 • committed by GitHub
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commit bcc36d14a1
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machine-learning/app/config.py
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@ -8,17 +8,11 @@ from .schemas import ModelType
class Settings(BaseSettings):
cache_folder: str = "/cache"
classification_model: str = "microsoft/resnet-50"
clip_image_model: str = "ViT-B-32::openai"
clip_text_model: str = "ViT-B-32::openai"
facial_recognition_model: str = "buffalo_l"
min_tag_score: float = 0.9
eager_startup: bool = False
model_ttl: int = 0
host: str = "0.0.0.0"
port: int = 3003
workers: int = 1
min_face_score: float = 0.7
test_full: bool = False
request_threads: int = os.cpu_count() or 4
model_inter_op_threads: int = 1