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/smart-info/smart-info.service.spec.ts

@@ -84,9 +84,13 @@ describe(SmartInfoService.name, () => {
 
       await sut.handleClassifyImage({ id: asset.id });
 
-      expect(machineMock.classifyImage).toHaveBeenCalledWith('http://immich-machine-learning:3003', {
-        imagePath: 'path/to/resize.ext',
-      });
+      expect(machineMock.classifyImage).toHaveBeenCalledWith(
+        'http://immich-machine-learning:3003',
+        {
+          imagePath: 'path/to/resize.ext',
+        },
+        { enabled: true, minScore: 0.9, modelName: 'microsoft/resnet-50' },
+      );
       expect(smartMock.upsert).toHaveBeenCalledWith({
         assetId: 'asset-1',
         tags: ['tag1', 'tag2', 'tag3'],
@@ -141,13 +145,16 @@ describe(SmartInfoService.name, () => {
     });
 
     it('should save the returned objects', async () => {
+      smartMock.upsert.mockResolvedValue();
       machineMock.encodeImage.mockResolvedValue([0.01, 0.02, 0.03]);
 
       await sut.handleEncodeClip({ id: asset.id });
 
-      expect(machineMock.encodeImage).toHaveBeenCalledWith('http://immich-machine-learning:3003', {
-        imagePath: 'path/to/resize.ext',
-      });
+      expect(machineMock.encodeImage).toHaveBeenCalledWith(
+        'http://immich-machine-learning:3003',
+        { imagePath: 'path/to/resize.ext' },
+        { enabled: true, modelName: 'ViT-B-32::openai' },
+      );
       expect(smartMock.upsert).toHaveBeenCalledWith({
         assetId: 'asset-1',
         clipEmbedding: [0.01, 0.02, 0.03],