use of com.google.cloud.automl.v1.TextSnippet in project java-automl by googleapis.
the class LanguageSentimentAnalysisPredict method predict.
static void predict(String projectId, String modelId, String content) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (PredictionServiceClient client = PredictionServiceClient.create()) {
// Get the full path of the model.
ModelName name = ModelName.of(projectId, "us-central1", modelId);
// For available mime types, see:
// https://cloud.google.com/automl/docs/reference/rest/v1/projects.locations.models/predict#textsnippet
TextSnippet textSnippet = TextSnippet.newBuilder().setContent(content).setMimeType(// Types: text/plain, text/html
"text/plain").build();
ExamplePayload payload = ExamplePayload.newBuilder().setTextSnippet(textSnippet).build();
PredictRequest predictRequest = PredictRequest.newBuilder().setName(name.toString()).setPayload(payload).build();
PredictResponse response = client.predict(predictRequest);
for (AnnotationPayload annotationPayload : response.getPayloadList()) {
System.out.format("Predicted class name: %s\n", annotationPayload.getDisplayName());
System.out.format("Predicted sentiment score: %d\n", annotationPayload.getTextSentiment().getSentiment());
}
}
}
use of com.google.cloud.automl.v1.TextSnippet in project java-automl by googleapis.
the class LanguageEntityExtractionPredict method predict.
static void predict(String projectId, String modelId, String content) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (PredictionServiceClient client = PredictionServiceClient.create()) {
// Get the full path of the model.
ModelName name = ModelName.of(projectId, "us-central1", modelId);
// For available mime types, see:
// https://cloud.google.com/automl/docs/reference/rest/v1/projects.locations.models/predict#textsnippet
TextSnippet textSnippet = TextSnippet.newBuilder().setContent(content).setMimeType(// Types: text/plain, text/html
"text/plain").build();
ExamplePayload payload = ExamplePayload.newBuilder().setTextSnippet(textSnippet).build();
PredictRequest predictRequest = PredictRequest.newBuilder().setName(name.toString()).setPayload(payload).build();
PredictResponse response = client.predict(predictRequest);
for (AnnotationPayload annotationPayload : response.getPayloadList()) {
System.out.format("Text Extract Entity Type: %s\n", annotationPayload.getDisplayName());
System.out.format("Text score: %.2f\n", annotationPayload.getTextExtraction().getScore());
TextSegment textSegment = annotationPayload.getTextExtraction().getTextSegment();
System.out.format("Text Extract Entity Content: %s\n", textSegment.getContent());
System.out.format("Text Start Offset: %s\n", textSegment.getStartOffset());
System.out.format("Text End Offset: %s\n\n", textSegment.getEndOffset());
}
}
}
use of com.google.cloud.automl.v1.TextSnippet in project java-automl by googleapis.
the class LanguageTextClassificationPredict method predict.
static void predict(String projectId, String modelId, String content) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (PredictionServiceClient client = PredictionServiceClient.create()) {
// Get the full path of the model.
ModelName name = ModelName.of(projectId, "us-central1", modelId);
// For available mime types, see:
// https://cloud.google.com/automl/docs/reference/rest/v1/projects.locations.models/predict#textsnippet
TextSnippet textSnippet = TextSnippet.newBuilder().setContent(content).setMimeType(// Types: text/plain, text/html
"text/plain").build();
ExamplePayload payload = ExamplePayload.newBuilder().setTextSnippet(textSnippet).build();
PredictRequest predictRequest = PredictRequest.newBuilder().setName(name.toString()).setPayload(payload).build();
PredictResponse response = client.predict(predictRequest);
for (AnnotationPayload annotationPayload : response.getPayloadList()) {
System.out.format("Predicted class name: %s\n", annotationPayload.getDisplayName());
System.out.format("Predicted sentiment score: %.2f\n\n", annotationPayload.getClassification().getScore());
}
}
}
use of com.google.cloud.automl.v1.TextSnippet in project java-automl by googleapis.
the class TranslatePredict method predict.
static void predict(String projectId, String modelId, String filePath) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (PredictionServiceClient client = PredictionServiceClient.create()) {
// Get the full path of the model.
ModelName name = ModelName.of(projectId, "us-central1", modelId);
String content = new String(Files.readAllBytes(Paths.get(filePath)));
TextSnippet textSnippet = TextSnippet.newBuilder().setContent(content).build();
ExamplePayload payload = ExamplePayload.newBuilder().setTextSnippet(textSnippet).build();
PredictRequest predictRequest = PredictRequest.newBuilder().setName(name.toString()).setPayload(payload).build();
PredictResponse response = client.predict(predictRequest);
TextSnippet translatedContent = response.getPayload(0).getTranslation().getTranslatedContent();
System.out.format("Translated Content: %s\n", translatedContent.getContent());
}
}
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