Übersetzen großer Textvolumen mit dem Modell.
Weitere Informationen
Eine ausführliche Dokumentation, die dieses Codebeispiel enthält, finden Sie hier:
Codebeispiel
Go
Folgen Sie der Einrichtungsanleitung für Go in der Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel anwenden. Weitere Informationen finden Sie in der Referenzdokumentation zur Translation API für Go.
import (
"context"
"fmt"
"io"
translate "cloud.google.com/go/translate/apiv3"
"cloud.google.com/go/translate/apiv3/translatepb"
)
// batchTranslateTextWithModel translates a large volume of text in asynchronous batch mode.
func batchTranslateTextWithModel(w io.Writer, projectID string, location string, inputURI string, outputURI string, sourceLang string, targetLang string, modelID string) error {
// projectID := "my-project-id"
// location := "us-central1"
// inputURI := "gs://cloud-samples-data/text.txt"
// outputURI := "gs://YOUR_BUCKET_ID/path_to_store_results/"
// sourceLang := "en"
// targetLang := "de"
// modelID := "your-model-id"
ctx := context.Background()
client, err := translate.NewTranslationClient(ctx)
if err != nil {
return fmt.Errorf("NewTranslationClient: %v", err)
}
defer client.Close()
req := &translatepb.BatchTranslateTextRequest{
Parent: fmt.Sprintf("projects/%s/locations/%s", projectID, location),
SourceLanguageCode: sourceLang,
TargetLanguageCodes: []string{targetLang},
InputConfigs: []*translatepb.InputConfig{
{
Source: &translatepb.InputConfig_GcsSource{
GcsSource: &translatepb.GcsSource{InputUri: inputURI},
},
// Optional. Can be "text/plain" or "text/html".
MimeType: "text/plain",
},
},
OutputConfig: &translatepb.OutputConfig{
Destination: &translatepb.OutputConfig_GcsDestination{
GcsDestination: &translatepb.GcsDestination{
OutputUriPrefix: outputURI,
},
},
},
Models: map[string]string{
targetLang: fmt.Sprintf("projects/%s/locations/%s/models/%s", projectID, location, modelID),
},
}
// The BatchTranslateText operation is async.
op, err := client.BatchTranslateText(ctx, req)
if err != nil {
return fmt.Errorf("BatchTranslateText: %v", err)
}
fmt.Fprintf(w, "Processing operation name: %q\n", op.Name())
resp, err := op.Wait(ctx)
if err != nil {
return fmt.Errorf("Wait: %v", err)
}
fmt.Fprintf(w, "Total characters: %v\n", resp.GetTotalCharacters())
fmt.Fprintf(w, "Translated characters: %v\n", resp.GetTranslatedCharacters())
return nil
}
Java
Folgen Sie der Einrichtungsanleitung für Java in der Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel anwenden. Weitere Informationen finden Sie in der Referenzdokumentation zur Translation API für Java.
import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.translate.v3.BatchTranslateMetadata;
import com.google.cloud.translate.v3.BatchTranslateResponse;
import com.google.cloud.translate.v3.BatchTranslateTextRequest;
import com.google.cloud.translate.v3.GcsDestination;
import com.google.cloud.translate.v3.GcsSource;
import com.google.cloud.translate.v3.InputConfig;
import com.google.cloud.translate.v3.LocationName;
import com.google.cloud.translate.v3.OutputConfig;
import com.google.cloud.translate.v3.TranslationServiceClient;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ThreadLocalRandom;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
public class BatchTranslateTextWithModel {
public static void batchTranslateTextWithModel()
throws InterruptedException, ExecutionException, IOException, TimeoutException {
// TODO(developer): Replace these variables before running the sample.
String projectId = "YOUR-PROJECT-ID";
// Supported Languages: https://cloud.google.com/translate/docs/languages
String sourceLanguage = "your-source-language";
String targetLanguage = "your-target-language";
String inputUri = "gs://your-gcs-bucket/path/to/input/file.txt";
String outputUri = "gs://your-gcs-bucket/path/to/results/";
String modelId = "YOUR-MODEL-ID";
batchTranslateTextWithModel(
projectId, sourceLanguage, targetLanguage, inputUri, outputUri, modelId);
}
// Batch translate text using AutoML Translation model
public static void batchTranslateTextWithModel(
String projectId,
String sourceLanguage,
String targetLanguage,
String inputUri,
String outputUri,
String modelId)
throws IOException, ExecutionException, InterruptedException, TimeoutException {
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// 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);
// Configure the source of the file from a GCS bucket
GcsSource gcsSource = GcsSource.newBuilder().setInputUri(inputUri).build();
// Supported Mime Types: https://cloud.google.com/translate/docs/supported-formats
InputConfig inputConfig =
InputConfig.newBuilder().setGcsSource(gcsSource).setMimeType("text/plain").build();
// Configure where to store the output in a GCS bucket
GcsDestination gcsDestination =
GcsDestination.newBuilder().setOutputUriPrefix(outputUri).build();
OutputConfig outputConfig =
OutputConfig.newBuilder().setGcsDestination(gcsDestination).build();
// Configure the model used in the request
String modelPath =
String.format("projects/%s/locations/%s/models/%s", projectId, location, modelId);
// Build the request that will be sent to the API
BatchTranslateTextRequest request =
BatchTranslateTextRequest.newBuilder()
.setParent(parent.toString())
.setSourceLanguageCode(sourceLanguage)
.addTargetLanguageCodes(targetLanguage)
.addInputConfigs(inputConfig)
.setOutputConfig(outputConfig)
.putModels(targetLanguage, modelPath)
.build();
// Start an asynchronous request
OperationFuture<BatchTranslateResponse, BatchTranslateMetadata> future =
client.batchTranslateTextAsync(request);
System.out.println("Waiting for operation to complete...");
// random number between 300 - 450 (maximum allowed seconds)
long randomNumber = ThreadLocalRandom.current().nextInt(450, 600);
BatchTranslateResponse response = future.get(randomNumber, TimeUnit.SECONDS);
// Display the translation for each input text provided
System.out.printf("Total Characters: %s\n", response.getTotalCharacters());
System.out.printf("Translated Characters: %s\n", response.getTranslatedCharacters());
}
}
}Node.js
Folgen Sie der Einrichtungsanleitung für Node.js in der Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel anwenden. Weitere Informationen finden Sie in der Referenzdokumentation zur Translation API für Node.js.
/**
* TODO(developer): Uncomment these variables before running the sample.
*/
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'us-central1';
// const inputUri = 'gs://cloud-samples-data/text.txt';
// const outputUri = 'gs://YOUR_BUCKET_ID/path_to_store_results/';
// const modelId = 'YOUR_MODEL_ID';
// Imports the Google Cloud Translation library
const {TranslationServiceClient} = require('@google-cloud/translate');
// Instantiates a client
const client = new TranslationServiceClient();
async function batchTranslateTextWithModel() {
// Construct request
const request = {
parent: `projects/${projectId}/locations/${location}`,
sourceLanguageCode: 'en',
targetLanguageCodes: ['ja'],
inputConfigs: [
{
mimeType: 'text/plain', // mime types: text/plain, text/html
gcsSource: {
inputUri: inputUri,
},
},
],
outputConfig: {
gcsDestination: {
outputUriPrefix: outputUri,
},
},
models: {
ja: `projects/${projectId}/locations/${location}/models/${modelId}`,
},
};
const options = {timeout: 240000};
// Create a job using a long-running operation
const [operation] = await client.batchTranslateText(request, options);
// Wait for the operation to complete
const [response] = await operation.promise();
// Display the translation for each input text provided
console.log(`Total Characters: ${response.totalCharacters}`);
console.log(`Translated Characters: ${response.translatedCharacters}`);
}
batchTranslateTextWithModel();PHP
Folgen Sie der Einrichtungsanleitung für PHP in der Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel anwenden. Weitere Informationen finden Sie in der Referenzdokumentation zur Translation API für PHP.
use Google\Cloud\Translate\V3\GcsDestination;
use Google\Cloud\Translate\V3\GcsSource;
use Google\Cloud\Translate\V3\InputConfig;
use Google\Cloud\Translate\V3\OutputConfig;
use Google\Cloud\Translate\V3\TranslationServiceClient;
/**
* @param string $inputUri Path to to source input (e.g. "gs://cloud-samples-data/text.txt").
* @param string $outputUri Path to store results (e.g. "gs://YOUR_BUCKET_ID/results/").
* @param string $projectId Your Google Cloud project ID.
* @param string $location Project location (e.g. us-central1)
* @param string $targetLanguage Language to translate to.
* @param string $sourceLanguage Language of the source.
* @param string $modelId Your model ID.
*/
function v3_batch_translate_text_with_model(
string $inputUri,
string $outputUri,
string $projectId,
string $location,
string $targetLanguage,
string $sourceLanguage,
string $modelId
): void {
$translationServiceClient = new TranslationServiceClient();
$modelPath = sprintf(
'projects/%s/locations/%s/models/%s',
$projectId,
$location,
$modelId
);
$targetLanguageCodes = [$targetLanguage];
$gcsSource = (new GcsSource())
->setInputUri($inputUri);
// Optional. Can be "text/plain" or "text/html".
$mimeType = 'text/plain';
$inputConfigsElement = (new InputConfig())
->setGcsSource($gcsSource)
->setMimeType($mimeType);
$inputConfigs = [$inputConfigsElement];
$gcsDestination = (new GcsDestination())
->setOutputUriPrefix($outputUri);
$outputConfig = (new OutputConfig())
->setGcsDestination($gcsDestination);
$formattedParent = $translationServiceClient->locationName($projectId, $location);
$models = ['ja' => $modelPath];
try {
$operationResponse = $translationServiceClient->batchTranslateText(
$formattedParent,
$sourceLanguage,
$targetLanguageCodes,
$inputConfigs,
$outputConfig,
['models' => $models]
);
$operationResponse->pollUntilComplete();
if ($operationResponse->operationSucceeded()) {
$response = $operationResponse->getResult();
// Display the translation for each input text provided
printf('Total Characters: %s' . PHP_EOL, $response->getTotalCharacters());
printf('Translated Characters: %s' . PHP_EOL, $response->getTranslatedCharacters());
} else {
$error = $operationResponse->getError();
print($error->getMessage());
}
} finally {
$translationServiceClient->close();
}
}Python
Folgen Sie der Einrichtungsanleitung für Python in der Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel anwenden. Weitere Informationen finden Sie in der Referenzdokumentation zur Translation API für Python.
from google.cloud import translate
def batch_translate_text_with_model(
input_uri="gs://YOUR_BUCKET_ID/path/to/your/file.txt",
output_uri="gs://YOUR_BUCKET_ID/path/to/save/results/",
project_id="YOUR_PROJECT_ID",
model_id="YOUR_MODEL_ID",
):
"""Batch translate text using Translation model.
Model can be AutoML or General[built-in] model."""
client = translate.TranslationServiceClient()
# Supported file types: https://cloud.google.com/translate/docs/supported-formats
gcs_source = {"input_uri": input_uri}
location = "us-central1"
input_configs_element = {
"gcs_source": gcs_source,
"mime_type": "text/plain", # Can be "text/plain" or "text/html".
}
gcs_destination = {"output_uri_prefix": output_uri}
output_config = {"gcs_destination": gcs_destination}
parent = f"projects/{project_id}/locations/{location}"
model_path = "projects/{}/locations/{}/models/{}".format(
project_id, location, model_id # The location of AutoML model.
)
# Supported language codes: https://cloud.google.com/translate/docs/languages
models = {"ja": model_path} # takes a target lang as key.
operation = client.batch_translate_text(
request={
"parent": parent,
"source_language_code": "en",
"target_language_codes": ["ja"], # Up to 10 language codes here.
"input_configs": [input_configs_element],
"output_config": output_config,
"models": models,
}
)
print("Waiting for operation to complete...")
response = operation.result()
# Display the translation for each input text provided.
print("Total Characters: {}".format(response.total_characters))
print("Translated Characters: {}".format(response.translated_characters))
Nächste Schritte
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