[mob][photos] Delete clip ggml

mobile/lib/services/machine_learning/semantic_search/frameworks/ggml.dart

@@ -1,115 +0,0 @@
-import "package:clip_ggml/clip_ggml.dart";
-import "package:computer/computer.dart";
-import "package:logging/logging.dart";
-import 'package:photos/services/machine_learning/semantic_search/frameworks/ml_framework.dart';
-
-class GGML extends MLFramework {
-  static const kModelBucketEndpoint = "https://models.ente.io/";
-  static const kImageModel = "clip-vit-base-patch32_ggml-vision-model-f16.gguf";
-  static const kTextModel = "clip-vit-base-patch32_ggml-text-model-f16.gguf";
-
-  final _computer = Computer.shared();
-  final _logger = Logger("GGML");
-
-  GGML(super.shouldDownloadOverMobileData);
-
-  @override
-  String getImageModelRemotePath() {
-    return kModelBucketEndpoint + kImageModel;
-  }
-
-  @override
-  String getTextModelRemotePath() {
-    return kModelBucketEndpoint + kTextModel;
-  }
-
-  @override
-  Future<void> loadImageModel(String path) async {
-    final startTime = DateTime.now();
-    await _computer.compute(
-      loadModel,
-      param: {
-        "imageModelPath": path,
-      },
-    );
-    final endTime = DateTime.now();
-    _logger.info(
-      "Loading image model took: ${(endTime.millisecondsSinceEpoch - startTime.millisecondsSinceEpoch).toString()}ms",
-    );
-  }
-
-  @override
-  Future<void> loadTextModel(String path) async {
-    final startTime = DateTime.now();
-    await _computer.compute(
-      loadModel,
-      param: {
-        "textModelPath": path,
-      },
-    );
-    final endTime = DateTime.now();
-    _logger.info(
-      "Loading text model took: ${(endTime.millisecondsSinceEpoch - startTime.millisecondsSinceEpoch).toString()}ms",
-    );
-  }
-
-  @override
-  Future<List<double>> getImageEmbedding(String imagePath) async {
-    try {
-      final startTime = DateTime.now();
-      final result = await _computer.compute(
-        _createImageEmbedding,
-        param: {
-          "imagePath": imagePath,
-        },
-        taskName: "createImageEmbedding",
-      ) as List<double>;
-      final endTime = DateTime.now();
-      _logger.info(
-        "createImageEmbedding took: ${(endTime.millisecondsSinceEpoch - startTime.millisecondsSinceEpoch)}ms",
-      );
-      return result;
-    } catch (e, s) {
-      _logger.severe(e, s);
-      rethrow;
-    }
-  }
-
-  @override
-  Future<List<double>> getTextEmbedding(String text) async {
-    try {
-      final startTime = DateTime.now();
-      final result = await _computer.compute(
-        _createTextEmbedding,
-        param: {
-          "text": text,
-        },
-        taskName: "createTextEmbedding",
-      ) as List<double>;
-      final endTime = DateTime.now();
-      _logger.info(
-        "createTextEmbedding took: ${(endTime.millisecondsSinceEpoch - startTime.millisecondsSinceEpoch)}ms",
-      );
-      return result;
-    } catch (e, s) {
-      _logger.severe(e, s);
-      rethrow;
-    }
-  }
-}
-
-void loadModel(Map args) {
-  if (args["imageModelPath"] != null) {
-    CLIP.loadImageModel(args["imageModelPath"]);
-  } else if (args["textModelPath"] != null) {
-    CLIP.loadTextModel(args["textModelPath"]);
-  }
-}
-
-List<double> _createImageEmbedding(Map args) {
-  return CLIP.createImageEmbedding(args["imagePath"]);
-}
-
-List<double> _createTextEmbedding(Map args) {
-  return CLIP.createTextEmbedding(args["text"]);
-}