use of com.google.cloudbuild.v1.LocationName in project java-translate by googleapis.
the class GetSupportedLanguagesForTarget method getSupportedLanguagesForTarget.
// Listing supported languages with target language name
public static void getSupportedLanguagesForTarget(String projectId, String languageCode) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (TranslationServiceClient client = TranslationServiceClient.create()) {
// Supported Locations: `global`, [glossary location], or [model location]
// Glossaries must be hosted in `us-central1`
// Custom Models must use the same location as your model. (us-central1)
LocationName parent = LocationName.of(projectId, "global");
GetSupportedLanguagesRequest request = GetSupportedLanguagesRequest.newBuilder().setParent(parent.toString()).setDisplayLanguageCode(languageCode).build();
SupportedLanguages response = client.getSupportedLanguages(request);
// List language codes of supported languages
for (SupportedLanguage language : response.getLanguagesList()) {
System.out.printf("Language Code: %s\n", language.getLanguageCode());
System.out.printf("Display Name: %s\n", language.getDisplayName());
}
}
}
use of com.google.cloudbuild.v1.LocationName in project java-translate by googleapis.
the class TranslateTextWithGlossary method translateTextWithGlossary.
// Translates a given text using a glossary.
public static void translateTextWithGlossary(String projectId, String sourceLanguage, String targetLanguage, String text, String glossaryId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (TranslationServiceClient client = TranslationServiceClient.create()) {
// Supported Locations: `global`, [glossary location], or [model location]
// Glossaries must be hosted in `us-central1`
// Custom Models must use the same location as your model. (us-central1)
String location = "us-central1";
LocationName parent = LocationName.of(projectId, location);
GlossaryName glossaryName = GlossaryName.of(projectId, location, glossaryId);
TranslateTextGlossaryConfig glossaryConfig = TranslateTextGlossaryConfig.newBuilder().setGlossary(glossaryName.toString()).build();
// Supported Mime Types: https://cloud.google.com/translate/docs/supported-formats
TranslateTextRequest request = TranslateTextRequest.newBuilder().setParent(parent.toString()).setMimeType("text/plain").setSourceLanguageCode(sourceLanguage).setTargetLanguageCode(targetLanguage).addContents(text).setGlossaryConfig(glossaryConfig).build();
TranslateTextResponse response = client.translateText(request);
// Display the translation for each input text provided
for (Translation translation : response.getGlossaryTranslationsList()) {
System.out.printf("Translated text: %s\n", translation.getTranslatedText());
}
}
}
use of com.google.cloudbuild.v1.LocationName in project java-automl by googleapis.
the class VisionObjectDetectionCreateModel method createModel.
// Create a model
static void createModel(String projectId, String datasetId, String displayName) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "us-central1");
// Set model metadata.
ImageObjectDetectionModelMetadata metadata = ImageObjectDetectionModelMetadata.newBuilder().build();
Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setImageObjectDetectionModelMetadata(metadata).build();
// Create a model with the model metadata in the region.
OperationFuture<Model, OperationMetadata> future = client.createModelAsync(projectLocation, model);
// OperationFuture.get() will block until the model is created, which may take several hours.
// You can use OperationFuture.getInitialFuture to get a future representing the initial
// response to the request, which contains information while the operation is in progress.
System.out.format("Training operation name: %s\n", future.getInitialFuture().get().getName());
System.out.println("Training started...");
}
}
use of com.google.cloudbuild.v1.LocationName in project java-automl by googleapis.
the class ModelApi method listModels.
// [START automl_translate_list_models]
/**
* Demonstrates using the AutoML client to list all models.
*
* @param projectId the Id of the project.
* @param computeRegion the Region name.
* @param filter the filter expression.
* @throws IOException on Input/Output errors.
*/
public static void listModels(String projectId, String computeRegion, String filter) throws IOException {
// Instantiates a client
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, computeRegion);
// Create list models request.
ListModelsRequest listModlesRequest = ListModelsRequest.newBuilder().setParent(projectLocation.toString()).setFilter(filter).build();
// List all the models available in the region by applying filter.
System.out.println("List of models:");
for (Model model : client.listModels(listModlesRequest).iterateAll()) {
// Display the model information.
System.out.println(String.format("Model name: %s", model.getName()));
System.out.println(String.format("Model id: %s", model.getName().split("/")[model.getName().split("/").length - 1]));
System.out.println(String.format("Model display name: %s", model.getDisplayName()));
System.out.println("Model create time:");
System.out.println(String.format("\tseconds: %s", model.getCreateTime().getSeconds()));
System.out.println(String.format("\tnanos: %s", model.getCreateTime().getNanos()));
System.out.println(String.format("Model deployment state: %s", model.getDeploymentState()));
}
}
}
use of com.google.cloudbuild.v1.LocationName in project java-automl by googleapis.
the class ModelApi method createModel.
// [START automl_vision_create_model]
/**
* Demonstrates using the AutoML client to create a model.
*
* @param projectId the Id of the project.
* @param computeRegion the Region name.
* @param dataSetId the Id of the dataset to which model is created.
* @param modelName the Name of the model.
* @param trainBudget the Budget for training the model.
*/
static void createModel(String projectId, String computeRegion, String dataSetId, String modelName, String trainBudget) {
// Instantiates a client
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, computeRegion);
// Set model metadata.
ImageClassificationModelMetadata imageClassificationModelMetadata = Long.valueOf(trainBudget) == 0 ? ImageClassificationModelMetadata.newBuilder().build() : ImageClassificationModelMetadata.newBuilder().setTrainBudget(Long.valueOf(trainBudget)).build();
// Set model name and model metadata for the image dataset.
Model myModel = Model.newBuilder().setDisplayName(modelName).setDatasetId(dataSetId).setImageClassificationModelMetadata(imageClassificationModelMetadata).build();
// Create a model with the model metadata in the region.
OperationFuture<Model, OperationMetadata> response = client.createModelAsync(projectLocation, myModel);
System.out.println(String.format("Training operation name: %s", response.getInitialFuture().get().getName()));
System.out.println("Training started...");
} catch (IOException | ExecutionException | InterruptedException e) {
e.printStackTrace();
}
}
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