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

* 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>

server/src/domain/system-config/dto/system-config-machine-learning.dto.ts

@@ -1,4 +1,6 @@
-import { IsBoolean, IsUrl, ValidateIf } from 'class-validator';
+import { ClassificationConfig, CLIPConfig, RecognitionConfig } from '@app/domain';
+import { Type } from 'class-transformer';
+import { IsBoolean, IsObject, IsUrl, ValidateIf, ValidateNested } from 'class-validator';
 
 export class SystemConfigMachineLearningDto {
   @IsBoolean()
@@ -8,12 +10,18 @@ export class SystemConfigMachineLearningDto {
   @ValidateIf((dto) => dto.enabled)
   url!: string;
 
-  @IsBoolean()
-  clipEncodeEnabled!: boolean;
+  @Type(() => ClassificationConfig)
+  @ValidateNested()
+  @IsObject()
+  classification!: ClassificationConfig;
 
-  @IsBoolean()
-  facialRecognitionEnabled!: boolean;
+  @Type(() => CLIPConfig)
+  @ValidateNested()
+  @IsObject()
+  clip!: CLIPConfig;
 
-  @IsBoolean()
-  tagImageEnabled!: boolean;
+  @Type(() => RecognitionConfig)
+  @ValidateNested()
+  @IsObject()
+  facialRecognition!: RecognitionConfig;
 }