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/search/search.service.ts

@@ -121,15 +121,18 @@ export class SearchService {
     await this.configCore.requireFeature(FeatureFlag.SEARCH);
 
     const query = dto.q || dto.query || '*';
-    const hasClip = machineLearning.enabled && machineLearning.clipEncodeEnabled;
+    const hasClip = machineLearning.enabled && machineLearning.clip.enabled;
     const strategy = dto.clip && hasClip ? SearchStrategy.CLIP : SearchStrategy.TEXT;
     const filters = { userId: authUser.id, ...dto };
 
     let assets: SearchResult<AssetEntity>;
     switch (strategy) {
       case SearchStrategy.CLIP:
-        const clip = await this.machineLearning.encodeText(machineLearning.url, query);
-        assets = await this.searchRepository.vectorSearch(clip, filters);
+        const {
+          machineLearning: { clip },
+        } = await this.configCore.getConfig();
+        const embedding = await this.machineLearning.encodeText(machineLearning.url, { text: query }, clip);
+        assets = await this.searchRepository.vectorSearch(embedding, filters);
         break;
       case SearchStrategy.TEXT:
       default: