[mob][photos] Rename

mobile/lib/services/machine_learning/face_ml/face_ml_service.dart

@@ -102,7 +102,7 @@ class FaceMlService {
   static const _embeddingFetchLimit = 200;
   static const _kForceClusteringFaceCount = 8000;
 
-  /// Only call this function once at app startup, after that you can directly call [indexAndClusterAll]
+  /// Only call this function once at app startup, after that you can directly call [runAllFaceML]
   Future<void> init() async {
     if (LocalSettings.instance.isFaceIndexingEnabled == false ||
         _isInitialized) {
@@ -127,7 +127,7 @@ class FaceMlService {
             "MLController allowed running ML, faces indexing starting",
           );
         }
-        unawaited(indexAndClusterAll());
+        unawaited(runAllFaceML());
       } else {
         _logger.info(
           "MLController stopped running ML, faces indexing will be paused (unless it's fetching embeddings)",
@@ -164,7 +164,7 @@ class FaceMlService {
     _isSyncing = false;
   }
 
-  Future<void> indexAndClusterAll() async {
+  Future<void> runAllFaceML() async {
     if (_cannotRunMLFunction()) return;
 
     await sync(forceSync: _shouldSyncPeople);

mobile/lib/ui/settings/debug/face_debug_section_widget.dart

@@ -149,7 +149,7 @@ class _FaceDebugSectionWidgetState extends State<FaceDebugSectionWidget> {
           onTap: () async {
             try {
               FaceMlService.instance.debugIndexingDisabled = false;
-              unawaited(FaceMlService.instance.indexAndClusterAll());
+              unawaited(FaceMlService.instance.runAllFaceML());
             } catch (e, s) {
               _logger.warning('indexAndClusterAll failed ', e, s);
               await showGenericErrorDialog(context: context, error: e);

mobile/lib/ui/settings/machine_learning_settings_page.dart

@@ -223,7 +223,8 @@ class _MachineLearningSettingsPageState
               final isEnabled =
                   await LocalSettings.instance.toggleFaceIndexing();
               if (isEnabled) {
-                unawaited(FaceMlService.instance.indexAndClusterAll());
+                await FaceMlService.instance.init();
+                unawaited(FaceMlService.instance.runAllFaceML());
               } else {
                 FaceMlService.instance.pauseIndexingAndClustering();
               }