Há mais exemplos de AWS SDK disponíveis no repositório [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) GitHub .
As traduções são geradas por tradução automática. Em caso de conflito entre o conteúdo da tradução e da versão original em inglês, a versão em inglês prevalecerá.
# Exemplos básicos para o Amazon Transcribe usando AWS SDKs
Os exemplos de código a seguir mostram como usar os conceitos básicos do Amazon Transcribe com. AWS SDKs
**Contents**
+ [Ações](transcribe_code_examples_actions.md)
+ [`CreateVocabulary`](transcribe_example_transcribe_CreateVocabulary_section.md)
+ [`DeleteMedicalTranscriptionJob`](transcribe_example_transcribe_DeleteMedicalTranscriptionJob_section.md)
+ [`DeleteTranscriptionJob`](transcribe_example_transcribe_DeleteTranscriptionJob_section.md)
+ [`DeleteVocabulary`](transcribe_example_transcribe_DeleteVocabulary_section.md)
+ [`GetTranscriptionJob`](transcribe_example_transcribe_GetTranscriptionJob_section.md)
+ [`GetVocabulary`](transcribe_example_transcribe_GetVocabulary_section.md)
+ [`ListMedicalTranscriptionJobs`](transcribe_example_transcribe_ListMedicalTranscriptionJobs_section.md)
+ [`ListTranscriptionJobs`](transcribe_example_transcribe_ListTranscriptionJobs_section.md)
+ [`ListVocabularies`](transcribe_example_transcribe_ListVocabularies_section.md)
+ [`StartMedicalTranscriptionJob`](transcribe_example_transcribe_StartMedicalTranscriptionJob_section.md)
+ [`StartTranscriptionJob`](transcribe_example_transcribe_StartTranscriptionJob_section.md)
+ [`UpdateVocabulary`](transcribe_example_transcribe_UpdateVocabulary_section.md)
# Ações para o Amazon Transcribe usando AWS SDKs
Os exemplos de código a seguir demonstram como realizar ações individuais do Amazon Transcribe com. AWS SDKs Cada exemplo inclui um link para GitHub, onde você pode encontrar instruções para configurar e executar o código.
Esses trechos chamam a API do Amazon Transcribe e são trechos de código de programas maiores que devem ser executados no contexto. É possível ver as ações em contexto em [Cenários para o Amazon Transcribe usando AWS SDKs](transcribe_code_examples_scenarios.md).
Os exemplos a seguir incluem apenas as ações mais utilizadas. Para obter uma lista completa, consulte a [Referência da API do Amazon Transcribe](https://docs.aws.amazon.com/transcribe/latest/APIReference/Welcome.html).
**Topics**
+ [`CreateVocabulary`](transcribe_example_transcribe_CreateVocabulary_section.md)
+ [`DeleteMedicalTranscriptionJob`](transcribe_example_transcribe_DeleteMedicalTranscriptionJob_section.md)
+ [`DeleteTranscriptionJob`](transcribe_example_transcribe_DeleteTranscriptionJob_section.md)
+ [`DeleteVocabulary`](transcribe_example_transcribe_DeleteVocabulary_section.md)
+ [`GetTranscriptionJob`](transcribe_example_transcribe_GetTranscriptionJob_section.md)
+ [`GetVocabulary`](transcribe_example_transcribe_GetVocabulary_section.md)
+ [`ListMedicalTranscriptionJobs`](transcribe_example_transcribe_ListMedicalTranscriptionJobs_section.md)
+ [`ListTranscriptionJobs`](transcribe_example_transcribe_ListTranscriptionJobs_section.md)
+ [`ListVocabularies`](transcribe_example_transcribe_ListVocabularies_section.md)
+ [`StartMedicalTranscriptionJob`](transcribe_example_transcribe_StartMedicalTranscriptionJob_section.md)
+ [`StartTranscriptionJob`](transcribe_example_transcribe_StartTranscriptionJob_section.md)
+ [`UpdateVocabulary`](transcribe_example_transcribe_UpdateVocabulary_section.md)
# Use `CreateVocabulary` com um AWS SDK ou CLI
Os exemplos de código a seguir mostram como usar o `CreateVocabulary`.
Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto no seguinte exemplo de código:
+ [Criar e refinar um vocabulário personalizado](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
------
#### [ .NET ]
**SDK para .NET**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples).
```
///
/// Create a custom vocabulary using a list of phrases. Custom vocabularies
/// improve transcription accuracy for one or more specific words.
///
/// The language code of the vocabulary.
/// Phrases to use in the vocabulary.
/// Name for the vocabulary.
/// The state of the custom vocabulary.
public async Task CreateCustomVocabulary(LanguageCode languageCode,
List phrases, string vocabularyName)
{
var response = await _amazonTranscribeService.CreateVocabularyAsync(
new CreateVocabularyRequest
{
LanguageCode = languageCode,
Phrases = phrases,
VocabularyName = vocabularyName
});
return response.VocabularyState;
}
```
+ Para obter detalhes da API, consulte [CreateVocabulary](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/CreateVocabulary)a *Referência AWS SDK para .NET da API*.
------
#### [ CLI ]
**AWS CLI**
**Como criar um vocabulário personalizado**
O exemplo de `create-vocabulary` a seguir cria um vocabulário personalizado. Para criar um vocabulário personalizado, você deve ter criado um arquivo de texto com todos os termos que deseja transcrever com mais precisão. Para vocabulary-file-uri, especifique o URI do Amazon Simple Storage Service (Amazon S3) desse arquivo de texto. Em language-code, especifique um código de idioma correspondente ao idioma do vocabulário personalizado. Em vocabulary-name, especifique como você deseja chamar seu vocabulário personalizado.
```
aws transcribe create-vocabulary \
--language-code language-code \
--vocabulary-name cli-vocab-example \
--vocabulary-file-uri s3://amzn-s3-demo-bucket/Amazon-S3-prefix/the-text-file-for-the-custom-vocabulary.txt
```
Saída:
```
{
"VocabularyName": "cli-vocab-example",
"LanguageCode": "language-code",
"VocabularyState": "PENDING"
}
```
Para obter mais informações, consulte [Custom Vocabularies](https://docs.aws.amazon.com/transcribe/latest/dg/how-vocabulary.html) no *Guia do desenvolvedor do Amazon Transcribe*.
+ Para obter detalhes da API, consulte [CreateVocabulary](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/create-vocabulary.html)em *Referência de AWS CLI Comandos*.
------
#### [ Python ]
**SDK para Python (Boto3)**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples).
```
def create_vocabulary(
vocabulary_name, language_code, transcribe_client, phrases=None, table_uri=None
):
"""
Creates a custom vocabulary that can be used to improve the accuracy of
transcription jobs. This function returns as soon as the vocabulary processing
is started. Call get_vocabulary to get the current status of the vocabulary.
The vocabulary is ready to use when its status is 'READY'.
:param vocabulary_name: The name of the custom vocabulary.
:param language_code: The language code of the vocabulary.
For example, en-US or nl-NL.
:param transcribe_client: The Boto3 Transcribe client.
:param phrases: A list of comma-separated phrases to include in the vocabulary.
:param table_uri: A table of phrases and pronunciation hints to include in the
vocabulary.
:return: Information about the newly created vocabulary.
"""
try:
vocab_args = {"VocabularyName": vocabulary_name, "LanguageCode": language_code}
if phrases is not None:
vocab_args["Phrases"] = phrases
elif table_uri is not None:
vocab_args["VocabularyFileUri"] = table_uri
response = transcribe_client.create_vocabulary(**vocab_args)
logger.info("Created custom vocabulary %s.", response["VocabularyName"])
except ClientError:
logger.exception("Couldn't create custom vocabulary %s.", vocabulary_name)
raise
else:
return response
```
+ Para obter detalhes da API, consulte a [CreateVocabulary](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/CreateVocabulary)Referência da API *AWS SDK for Python (Boto3*).
------
#### [ SAP ABAP ]
**SDK para SAP ABAP**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples).
```
TRY.
IF it_phrases IS NOT INITIAL.
oo_result = lo_tnb->createvocabulary(
iv_vocabularyname = iv_vocabulary_name
iv_languagecode = iv_language_code
it_phrases = it_phrases ).
ELSEIF iv_vocab_file_uri IS NOT INITIAL.
oo_result = lo_tnb->createvocabulary(
iv_vocabularyname = iv_vocabulary_name
iv_languagecode = iv_language_code
iv_vocabularyfileuri = iv_vocab_file_uri ).
ENDIF.
MESSAGE 'Custom vocabulary created.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnblimitexceededex INTO DATA(lo_limit_ex).
MESSAGE lo_limit_ex TYPE 'I'.
RAISE EXCEPTION lo_limit_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
CATCH /aws1/cx_tnbconflictexception INTO DATA(lo_conflict_ex).
MESSAGE lo_conflict_ex TYPE 'I'.
RAISE EXCEPTION lo_conflict_ex.
ENDTRY.
```
+ Para obter detalhes da API, consulte a [CreateVocabulary](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)referência da *API AWS SDK for SAP ABAP*.
------
# Use `DeleteMedicalTranscriptionJob` com um AWS SDK ou CLI
Os exemplos de código a seguir mostram como usar o `DeleteMedicalTranscriptionJob`.
------
#### [ .NET ]
**SDK para .NET**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples).
```
///
/// Delete a medical transcription job. Also deletes the transcript associated with the job.
///
/// Name of the medical transcription job to delete.
/// True if successful.
public async Task DeleteMedicalTranscriptionJob(string jobName)
{
var response = await _amazonTranscribeService.DeleteMedicalTranscriptionJobAsync(
new DeleteMedicalTranscriptionJobRequest()
{
MedicalTranscriptionJobName = jobName
});
return response.HttpStatusCode == HttpStatusCode.OK;
}
```
+ Para obter detalhes da API, consulte [DeleteMedicalTranscriptionJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/DeleteMedicalTranscriptionJob)a *Referência AWS SDK para .NET da API*.
------
#### [ CLI ]
**AWS CLI**
**Como excluir um trabalho de transcrição médica**
O exemplo de `delete-medical-transcription-job` a seguir exclui um trabalho de transcrição médica.
```
aws transcribe delete-medical-transcription-job \
--medical-transcription-job-name medical-transcription-job-name
```
Este comando não produz saída.
Para obter mais informações, consulte [DeleteMedicalTranscriptionJob](https://docs.aws.amazon.com/transcribe/latest/dg/API_DeleteMedicalTranscriptionJob.html)o *Amazon Transcribe* Developer Guide.
+ Para obter detalhes da API, consulte [DeleteMedicalTranscriptionJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/delete-medical-transcription-job.html)em *Referência de AWS CLI Comandos*.
------
#### [ JavaScript ]
**SDK para JavaScript (v3)**
Tem mais sobre GitHub. Encontre o exemplo completo e veja como configurar e executar no [Repositório de exemplos de código da AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples).
Crie o cliente.
```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
Excluir um trabalho de transcrição médica.
```
// Import the required AWS SDK clients and commands for Node.js
import { DeleteMedicalTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";
// Set the parameters
export const params = {
MedicalTranscriptionJobName: "MEDICAL_JOB_NAME", // For example, 'medical_transciption_demo'
};
export const run = async () => {
try {
const data = await transcribeClient.send(
new DeleteMedicalTranscriptionJobCommand(params),
);
console.log("Success - deleted");
return data; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
```
+ Para obter mais informações, consulte o [Guia do desenvolvedor do AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-medical-examples-section.html#transcribe-delete-medical-job).
+ Para obter detalhes da API, consulte [DeleteMedicalTranscriptionJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/DeleteMedicalTranscriptionJobCommand)a *Referência AWS SDK para JavaScript da API*.
------
# Use `DeleteTranscriptionJob` com um AWS SDK ou CLI
Os exemplos de código a seguir mostram como usar o `DeleteTranscriptionJob`.
Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto no seguinte exemplo de código:
+ [Criar e refinar um vocabulário personalizado](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
------
#### [ .NET ]
**SDK para .NET**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples).
```
///
/// Delete a transcription job. Also deletes the transcript associated with the job.
///
/// Name of the transcription job to delete.
/// True if successful.
public async Task DeleteTranscriptionJob(string jobName)
{
var response = await _amazonTranscribeService.DeleteTranscriptionJobAsync(
new DeleteTranscriptionJobRequest()
{
TranscriptionJobName = jobName
});
return response.HttpStatusCode == HttpStatusCode.OK;
}
```
+ Para obter detalhes da API, consulte [DeleteTranscriptionJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/DeleteTranscriptionJob)a *Referência AWS SDK para .NET da API*.
------
#### [ CLI ]
**AWS CLI**
**Como excluir um dos trabalhos de transcrição**
O exemplo de `delete-transcription-job` a seguir exclui um dos trabalhos de transcrição.
```
aws transcribe delete-transcription-job \
--transcription-job-name your-transcription-job
```
Este comando não produz saída.
Para obter mais informações, consulte [DeleteTranscriptionJob](https://docs.aws.amazon.com/transcribe/latest/dg/API_DeleteTranscriptionJob.html)o *Amazon Transcribe* Developer Guide.
+ Para obter detalhes da API, consulte [DeleteTranscriptionJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/delete-transcription-job.html)em *Referência de AWS CLI Comandos*.
------
#### [ JavaScript ]
**SDK para JavaScript (v3)**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples).
Excluir um trabalho de transcrição.
```
// Import the required AWS SDK clients and commands for Node.js
import { DeleteTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";
// Set the parameters
export const params = {
TranscriptionJobName: "JOB_NAME", // Required. For example, 'transciption_demo'
};
export const run = async () => {
try {
const data = await transcribeClient.send(
new DeleteTranscriptionJobCommand(params),
);
console.log("Success - deleted");
return data; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
```
Crie o cliente.
```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
+ Para obter mais informações, consulte o [Guia do desenvolvedor do AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-examples-section.html#transcribe-delete-job).
+ Para obter detalhes da API, consulte [DeleteTranscriptionJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/DeleteTranscriptionJobCommand)a *Referência AWS SDK para JavaScript da API*.
------
#### [ Python ]
**SDK para Python (Boto3)**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples).
```
def delete_job(job_name, transcribe_client):
"""
Deletes a transcription job. This also deletes the transcript associated with
the job.
:param job_name: The name of the job to delete.
:param transcribe_client: The Boto3 Transcribe client.
"""
try:
transcribe_client.delete_transcription_job(TranscriptionJobName=job_name)
logger.info("Deleted job %s.", job_name)
except ClientError:
logger.exception("Couldn't delete job %s.", job_name)
raise
```
+ Para obter detalhes da API, consulte a [DeleteTranscriptionJob](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/DeleteTranscriptionJob)Referência da API *AWS SDK for Python (Boto3*).
------
#### [ SAP ABAP ]
**SDK para SAP ABAP**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples).
```
TRY.
lo_tnb->deletetranscriptionjob( iv_job_name ).
MESSAGE 'Transcription job deleted.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnblimitexceededex INTO DATA(lo_limit_ex).
MESSAGE lo_limit_ex TYPE 'I'.
RAISE EXCEPTION lo_limit_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
ENDTRY.
```
+ Para obter detalhes da API, consulte a [DeleteTranscriptionJob](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)referência da *API AWS SDK for SAP ABAP*.
------
# Use `DeleteVocabulary` com um AWS SDK ou CLI
Os exemplos de código a seguir mostram como usar o `DeleteVocabulary`.
Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto no seguinte exemplo de código:
+ [Criar e refinar um vocabulário personalizado](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
------
#### [ .NET ]
**SDK para .NET**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples).
```
///
/// Delete an existing custom vocabulary.
///
/// Name of the vocabulary to delete.
/// True if successful.
public async Task DeleteCustomVocabulary(string vocabularyName)
{
var response = await _amazonTranscribeService.DeleteVocabularyAsync(
new DeleteVocabularyRequest
{
VocabularyName = vocabularyName
});
return response.HttpStatusCode == HttpStatusCode.OK;
}
```
+ Para obter detalhes da API, consulte [DeleteVocabulary](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/DeleteVocabulary)a *Referência AWS SDK para .NET da API*.
------
#### [ CLI ]
**AWS CLI**
**Como excluir um vocabulário personalizado**
O exemplo de `delete-vocabulary` a seguir exclui um vocabulário personalizado.
```
aws transcribe delete-vocabulary \
--vocabulary-name vocabulary-name
```
Este comando não produz saída.
Para obter mais informações, consulte [Custom Vocabularies](https://docs.aws.amazon.com/transcribe/latest/dg/how-vocabulary.html) no *Guia do desenvolvedor do Amazon Transcribe*.
+ Para obter detalhes da API, consulte [DeleteVocabulary](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/delete-vocabulary.html)em *Referência de AWS CLI Comandos*.
------
#### [ Python ]
**SDK para Python (Boto3)**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples).
```
def delete_vocabulary(vocabulary_name, transcribe_client):
"""
Deletes a custom vocabulary.
:param vocabulary_name: The name of the vocabulary to delete.
:param transcribe_client: The Boto3 Transcribe client.
"""
try:
transcribe_client.delete_vocabulary(VocabularyName=vocabulary_name)
logger.info("Deleted vocabulary %s.", vocabulary_name)
except ClientError:
logger.exception("Couldn't delete vocabulary %s.", vocabulary_name)
raise
```
+ Para obter detalhes da API, consulte a [DeleteVocabulary](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/DeleteVocabulary)Referência da API *AWS SDK for Python (Boto3*).
------
#### [ SAP ABAP ]
**SDK para SAP ABAP**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples).
```
TRY.
lo_tnb->deletevocabulary( iv_vocabulary_name ).
MESSAGE 'Vocabulary deleted.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
CATCH /aws1/cx_tnblimitexceededex INTO DATA(lo_limit_ex).
MESSAGE lo_limit_ex TYPE 'I'.
RAISE EXCEPTION lo_limit_ex.
CATCH /aws1/cx_tnbnotfoundexception INTO DATA(lo_not_found_ex).
MESSAGE lo_not_found_ex TYPE 'I'.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
ENDTRY.
```
+ Para obter detalhes da API, consulte a [DeleteVocabulary](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)referência da *API AWS SDK for SAP ABAP*.
------
# Use `GetTranscriptionJob` com um AWS SDK ou CLI
Os exemplos de código a seguir mostram como usar o `GetTranscriptionJob`.
Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código:
+ [Criar e refinar um vocabulário personalizado](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
+ [Transcrever áudio e obter dados do trabalho](transcribe_example_transcribe_Scenario_GettingStartedTranscriptionJobs_section.md)
------
#### [ .NET ]
**SDK para .NET**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples).
```
///
/// Get details about a transcription job.
///
/// A unique name for the transcription job.
/// A TranscriptionJob instance with information on the requested job.
public async Task GetTranscriptionJob(string jobName)
{
var response = await _amazonTranscribeService.GetTranscriptionJobAsync(
new GetTranscriptionJobRequest()
{
TranscriptionJobName = jobName
});
return response.TranscriptionJob;
}
```
+ Para obter detalhes da API, consulte [GetTranscriptionJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/GetTranscriptionJob)a *Referência AWS SDK para .NET da API*.
------
#### [ CLI ]
**AWS CLI**
**Como obter informações sobre um trabalho de transcrição específico**
O exemplo de `get-transcription-job` a seguir coleta informações sobre um trabalho de transcrição específico. Para acessar os resultados da transcrição, use o TranscriptFileUri parâmetro. Use o MediaFileUri parâmetro para ver qual arquivo de áudio você transcreveu com esse trabalho. É possível usar o objeto Configurações para ver os recursos opcionais habilitados no trabalho de transcrição.
```
aws transcribe get-transcription-job \
--transcription-job-name your-transcription-job
```
Saída:
```
{
"TranscriptionJob": {
"TranscriptionJobName": "your-transcription-job",
"TranscriptionJobStatus": "COMPLETED",
"LanguageCode": "language-code",
"MediaSampleRateHertz": 48000,
"MediaFormat": "mp4",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.file-extension"
},
"Transcript": {
"TranscriptFileUri": "https://Amazon-S3-file-location-of-transcription-output"
},
"StartTime": "2020-09-18T22:27:23.970000+00:00",
"CreationTime": "2020-09-18T22:27:23.948000+00:00",
"CompletionTime": "2020-09-18T22:28:21.197000+00:00",
"Settings": {
"ChannelIdentification": false,
"ShowAlternatives": false
},
"IdentifyLanguage": true,
"IdentifiedLanguageScore": 0.8672199249267578
}
}
```
Para obter mais informações, consulte [Conceitos básicos (interface de linha de AWS comando)](https://docs.aws.amazon.com/transcribe/latest/dg/getting-started-cli.html) no Guia do *desenvolvedor do Amazon Transcribe*.
+ Para obter detalhes da API, consulte [GetTranscriptionJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/get-transcription-job.html)em *Referência de AWS CLI Comandos*.
------
#### [ Python ]
**SDK para Python (Boto3)**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples).
```
def get_job(job_name, transcribe_client):
"""
Gets details about a transcription job.
:param job_name: The name of the job to retrieve.
:param transcribe_client: The Boto3 Transcribe client.
:return: The retrieved transcription job.
"""
try:
response = transcribe_client.get_transcription_job(
TranscriptionJobName=job_name
)
job = response["TranscriptionJob"]
logger.info("Got job %s.", job["TranscriptionJobName"])
except ClientError:
logger.exception("Couldn't get job %s.", job_name)
raise
else:
return job
```
+ Para obter detalhes da API, consulte a [GetTranscriptionJob](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/GetTranscriptionJob)Referência da API *AWS SDK for Python (Boto3*).
------
#### [ SAP ABAP ]
**SDK para SAP ABAP**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples).
```
TRY.
oo_result = lo_tnb->gettranscriptionjob( iv_job_name ).
DATA(lo_job) = oo_result->get_transcriptionjob( ).
MESSAGE 'Retrieved transcription job details.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnbnotfoundexception INTO DATA(lo_not_found_ex).
MESSAGE lo_not_found_ex TYPE 'I'.
RAISE EXCEPTION lo_not_found_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
ENDTRY.
```
+ Para obter detalhes da API, consulte a [GetTranscriptionJob](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)referência da *API AWS SDK for SAP ABAP*.
------
# Use `GetVocabulary` com um AWS SDK ou CLI
Os exemplos de código a seguir mostram como usar o `GetVocabulary`.
Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto no seguinte exemplo de código:
+ [Criar e refinar um vocabulário personalizado](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
------
#### [ .NET ]
**SDK para .NET**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples).
```
///
/// Get information about a custom vocabulary.
///
/// Name of the vocabulary.
/// The state of the custom vocabulary.
public async Task GetCustomVocabulary(string vocabularyName)
{
var response = await _amazonTranscribeService.GetVocabularyAsync(
new GetVocabularyRequest()
{
VocabularyName = vocabularyName
});
return response.VocabularyState;
}
```
+ Para obter detalhes da API, consulte [GetVocabulary](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/GetVocabulary)a *Referência AWS SDK para .NET da API*.
------
#### [ CLI ]
**AWS CLI**
**Como obter informações sobre um vocabulário personalizado**
O exemplo de `get-vocabulary` a seguir coleta informações sobre um vocabulário personalizado criado anteriormente.
```
aws transcribe get-vocabulary \
--vocabulary-name cli-vocab-1
```
Saída:
```
{
"VocabularyName": "cli-vocab-1",
"LanguageCode": "language-code",
"VocabularyState": "READY",
"LastModifiedTime": "2020-09-19T23:22:32.836000+00:00",
"DownloadUri": "https://link-to-download-the-text-file-used-to-create-your-custom-vocabulary"
}
```
Para obter mais informações, consulte [Custom Vocabularies](https://docs.aws.amazon.com/transcribe/latest/dg/how-vocabulary.html) no *Guia do desenvolvedor do Amazon Transcribe*.
+ Para obter detalhes da API, consulte [GetVocabulary](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/get-vocabulary.html)em *Referência de AWS CLI Comandos*.
------
#### [ Python ]
**SDK para Python (Boto3)**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples).
```
def get_vocabulary(vocabulary_name, transcribe_client):
"""
Gets information about a custom vocabulary.
:param vocabulary_name: The name of the vocabulary to retrieve.
:param transcribe_client: The Boto3 Transcribe client.
:return: Information about the vocabulary.
"""
try:
response = transcribe_client.get_vocabulary(VocabularyName=vocabulary_name)
logger.info("Got vocabulary %s.", response["VocabularyName"])
except ClientError:
logger.exception("Couldn't get vocabulary %s.", vocabulary_name)
raise
else:
return response
```
+ Para obter detalhes da API, consulte a [GetVocabulary](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/GetVocabulary)Referência da API *AWS SDK for Python (Boto3*).
------
#### [ SAP ABAP ]
**SDK para SAP ABAP**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples).
```
TRY.
oo_result = lo_tnb->getvocabulary( iv_vocabulary_name ).
MESSAGE 'Retrieved vocabulary details.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnbnotfoundexception INTO DATA(lo_not_found_ex).
MESSAGE lo_not_found_ex TYPE 'I'.
RAISE EXCEPTION lo_not_found_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
ENDTRY.
```
+ Para obter detalhes da API, consulte a [GetVocabulary](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)referência da *API AWS SDK for SAP ABAP*.
------
# Use `ListMedicalTranscriptionJobs` com um AWS SDK ou CLI
Os exemplos de código a seguir mostram como usar o `ListMedicalTranscriptionJobs`.
------
#### [ .NET ]
**SDK para .NET**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples).
```
///
/// List medical transcription jobs, optionally with a name filter.
///
/// Optional name filter for the medical transcription jobs.
/// A list of summaries about medical transcription jobs.
public async Task> ListMedicalTranscriptionJobs(
string? jobNameContains = null)
{
var response = await _amazonTranscribeService.ListMedicalTranscriptionJobsAsync(
new ListMedicalTranscriptionJobsRequest()
{
JobNameContains = jobNameContains
});
return response.MedicalTranscriptionJobSummaries;
}
```
+ Para obter detalhes da API, consulte [ListMedicalTranscriptionJobs](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/ListMedicalTranscriptionJobs)a *Referência AWS SDK para .NET da API*.
------
#### [ CLI ]
**AWS CLI**
**Para listar os trabalhos de transcrição médica**
O `list-medical-transcription-jobs` exemplo a seguir lista os trabalhos de transcrição médica associados à sua AWS conta e região. Para obter mais informações sobre um trabalho de transcrição específico, copie o valor de um MedicalTranscriptionJobName parâmetro na saída da transcrição e especifique esse valor para a `MedicalTranscriptionJobName` opção do `get-medical-transcription-job` comando. Para ver mais trabalhos de transcrição, copie o valor do NextToken parâmetro, execute o `list-medical-transcription-jobs` comando novamente e especifique esse valor na `--next-token` opção.
```
aws transcribe list-medical-transcription-jobs
```
Saída:
```
{
"NextToken": "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",
"MedicalTranscriptionJobSummaries": [
{
"MedicalTranscriptionJobName": "vocabulary-dictation-medical-transcription-job",
"CreationTime": "2020-09-21T21:17:27.016000+00:00",
"StartTime": "2020-09-21T21:17:27.045000+00:00",
"CompletionTime": "2020-09-21T21:17:59.561000+00:00",
"LanguageCode": "en-US",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "CUSTOMER_BUCKET",
"Specialty": "PRIMARYCARE",
"Type": "DICTATION"
},
{
"MedicalTranscriptionJobName": "alternatives-dictation-medical-transcription-job",
"CreationTime": "2020-09-21T21:01:14.569000+00:00",
"StartTime": "2020-09-21T21:01:14.592000+00:00",
"CompletionTime": "2020-09-21T21:01:43.606000+00:00",
"LanguageCode": "en-US",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "CUSTOMER_BUCKET",
"Specialty": "PRIMARYCARE",
"Type": "DICTATION"
},
{
"MedicalTranscriptionJobName": "alternatives-conversation-medical-transcription-job",
"CreationTime": "2020-09-21T19:09:18.171000+00:00",
"StartTime": "2020-09-21T19:09:18.199000+00:00",
"CompletionTime": "2020-09-21T19:10:22.516000+00:00",
"LanguageCode": "en-US",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "CUSTOMER_BUCKET",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
},
{
"MedicalTranscriptionJobName": "speaker-id-conversation-medical-transcription-job",
"CreationTime": "2020-09-21T18:43:37.157000+00:00",
"StartTime": "2020-09-21T18:43:37.265000+00:00",
"CompletionTime": "2020-09-21T18:44:21.192000+00:00",
"LanguageCode": "en-US",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "CUSTOMER_BUCKET",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
},
{
"MedicalTranscriptionJobName": "multichannel-conversation-medical-transcription-job",
"CreationTime": "2020-09-20T23:46:44.053000+00:00",
"StartTime": "2020-09-20T23:46:44.081000+00:00",
"CompletionTime": "2020-09-20T23:47:35.851000+00:00",
"LanguageCode": "en-US",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "CUSTOMER_BUCKET",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
}
]
}
```
*Para obter mais informações, consulte https://docs.aws.amazon.com/transcribe/ latest/dg/batch -med-transcription.html> no Guia do desenvolvedor do Amazon Transcribe.*
+ Para obter detalhes da API, consulte [ListMedicalTranscriptionJobs](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/list-medical-transcription-jobs.html)em *Referência de AWS CLI Comandos*.
------
#### [ JavaScript ]
**SDK para JavaScript (v3)**
Tem mais sobre GitHub. Encontre o exemplo completo e veja como configurar e executar no [Repositório de exemplos de código da AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples).
Crie o cliente.
```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
Listar trabalhos de transcrição médica.
```
// Import the required AWS SDK clients and commands for Node.js
import { StartMedicalTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";
// Set the parameters
export const params = {
MedicalTranscriptionJobName: "MEDICAL_JOB_NAME", // Required
OutputBucketName: "OUTPUT_BUCKET_NAME", // Required
Specialty: "PRIMARYCARE", // Required. Possible values are 'PRIMARYCARE'
Type: "JOB_TYPE", // Required. Possible values are 'CONVERSATION' and 'DICTATION'
LanguageCode: "LANGUAGE_CODE", // For example, 'en-US'
MediaFormat: "SOURCE_FILE_FORMAT", // For example, 'wav'
Media: {
MediaFileUri: "SOURCE_FILE_LOCATION",
// The S3 object location of the input media file. The URI must be in the same region
// as the API endpoint that you are calling.For example,
// "https://transcribe-demo.s3-REGION.amazonaws.com/hello_world.wav"
},
};
export const run = async () => {
try {
const data = await transcribeClient.send(
new StartMedicalTranscriptionJobCommand(params),
);
console.log("Success - put", data);
return data; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
```
+ Para obter mais informações, consulte o [Guia do desenvolvedor do AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-medical-examples-section.html#transcribe-list-medical-jobs).
+ Para obter detalhes da API, consulte [ListMedicalTranscriptionJobs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/ListMedicalTranscriptionJobsCommand)a *Referência AWS SDK para JavaScript da API*.
------
# Use `ListTranscriptionJobs` com um AWS SDK ou CLI
Os exemplos de código a seguir mostram como usar o `ListTranscriptionJobs`.
------
#### [ .NET ]
**SDK para .NET**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples).
```
///
/// List transcription jobs, optionally with a name filter.
///
/// Optional name filter for the transcription jobs.
/// A list of transcription job summaries.
public async Task> ListTranscriptionJobs(string? jobNameContains = null)
{
var response = await _amazonTranscribeService.ListTranscriptionJobsAsync(
new ListTranscriptionJobsRequest()
{
JobNameContains = jobNameContains
});
return response.TranscriptionJobSummaries;
}
```
+ Para obter detalhes da API, consulte [ListTranscriptionJobs](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/ListTranscriptionJobs)a *Referência AWS SDK para .NET da API*.
------
#### [ CLI ]
**AWS CLI**
**Para listar os trabalhos de transcrição**
O `list-transcription-jobs` exemplo a seguir lista os trabalhos de transcrição associados à sua AWS conta e região.
```
aws transcribe list-transcription-jobs
```
Saída:
```
{
"NextToken": "NextToken",
"TranscriptionJobSummaries": [
{
"TranscriptionJobName": "speak-id-job-1",
"CreationTime": "2020-08-17T21:06:15.391000+00:00",
"StartTime": "2020-08-17T21:06:15.416000+00:00",
"CompletionTime": "2020-08-17T21:07:05.098000+00:00",
"LanguageCode": "language-code",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "SERVICE_BUCKET"
},
{
"TranscriptionJobName": "job-1",
"CreationTime": "2020-08-17T20:50:24.207000+00:00",
"StartTime": "2020-08-17T20:50:24.230000+00:00",
"CompletionTime": "2020-08-17T20:52:18.737000+00:00",
"LanguageCode": "language-code",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "SERVICE_BUCKET"
},
{
"TranscriptionJobName": "sdk-test-job-4",
"CreationTime": "2020-08-17T20:32:27.917000+00:00",
"StartTime": "2020-08-17T20:32:27.956000+00:00",
"CompletionTime": "2020-08-17T20:33:15.126000+00:00",
"LanguageCode": "language-code",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "SERVICE_BUCKET"
},
{
"TranscriptionJobName": "Diarization-speak-id",
"CreationTime": "2020-08-10T22:10:09.066000+00:00",
"StartTime": "2020-08-10T22:10:09.116000+00:00",
"CompletionTime": "2020-08-10T22:26:48.172000+00:00",
"LanguageCode": "language-code",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "SERVICE_BUCKET"
},
{
"TranscriptionJobName": "your-transcription-job-name",
"CreationTime": "2020-07-29T17:45:09.791000+00:00",
"StartTime": "2020-07-29T17:45:09.826000+00:00",
"CompletionTime": "2020-07-29T17:46:20.831000+00:00",
"LanguageCode": "language-code",
"TranscriptionJobStatus": "COMPLETED",
"OutputLocationType": "SERVICE_BUCKET"
}
]
}
```
Para obter mais informações, consulte [Conceitos básicos (interface de linha de AWS comando)](https://docs.aws.amazon.com/transcribe/latest/dg/getting-started-cli.html) no Guia do *desenvolvedor do Amazon Transcribe*.
+ Para obter detalhes da API, consulte [ListTranscriptionJobs](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/list-transcription-jobs.html)em *Referência de AWS CLI Comandos*.
------
#### [ Java ]
**SDK para Java 2.x**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/transcribe#code-examples).
```
public class ListTranscriptionJobs {
public static void main(String[] args) {
TranscribeClient transcribeClient = TranscribeClient.builder()
.region(Region.US_EAST_1)
.build();
listTranscriptionJobs(transcribeClient);
}
public static void listTranscriptionJobs(TranscribeClient transcribeClient) {
ListTranscriptionJobsRequest listJobsRequest = ListTranscriptionJobsRequest.builder()
.build();
transcribeClient.listTranscriptionJobsPaginator(listJobsRequest).stream()
.flatMap(response -> response.transcriptionJobSummaries().stream())
.forEach(jobSummary -> {
System.out.println("Job Name: " + jobSummary.transcriptionJobName());
System.out.println("Job Status: " + jobSummary.transcriptionJobStatus());
System.out.println("Output Location: " + jobSummary.outputLocationType());
// Add more information as needed
// Retrieve additional details for the job if necessary
GetTranscriptionJobResponse jobDetails = transcribeClient.getTranscriptionJob(
GetTranscriptionJobRequest.builder()
.transcriptionJobName(jobSummary.transcriptionJobName())
.build());
// Display additional details
System.out.println("Language Code: " + jobDetails.transcriptionJob().languageCode());
System.out.println("Media Format: " + jobDetails.transcriptionJob().mediaFormat());
// Add more details as needed
System.out.println("--------------");
});
}
}
```
+ Para obter detalhes da API, consulte [ListTranscriptionJobs](https://docs.aws.amazon.com/goto/SdkForJavaV2/transcribe-2017-10-26/ListTranscriptionJobs)a *Referência AWS SDK for Java 2.x da API*.
------
#### [ JavaScript ]
**SDK para JavaScript (v3)**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples).
Listar trabalhos de transcrição.
```
// Import the required AWS SDK clients and commands for Node.js
import { ListTranscriptionJobsCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";
// Set the parameters
export const params = {
JobNameContains: "KEYWORD", // Not required. Returns only transcription
// job names containing this string
};
export const run = async () => {
try {
const data = await transcribeClient.send(
new ListTranscriptionJobsCommand(params),
);
console.log("Success", data.TranscriptionJobSummaries);
return data; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
```
Crie o cliente.
```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
+ Para obter mais informações, consulte o [Guia do desenvolvedor do AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-examples-section.html#transcribe-list-jobs).
+ Para obter detalhes da API, consulte [ListTranscriptionJobs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/ListTranscriptionJobsCommand)a *Referência AWS SDK para JavaScript da API*.
------
#### [ Python ]
**SDK para Python (Boto3)**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples).
```
def list_jobs(job_filter, transcribe_client):
"""
Lists summaries of the transcription jobs for the current AWS account.
:param job_filter: The list of returned jobs must contain this string in their
names.
:param transcribe_client: The Boto3 Transcribe client.
:return: The list of retrieved transcription job summaries.
"""
try:
response = transcribe_client.list_transcription_jobs(JobNameContains=job_filter)
jobs = response["TranscriptionJobSummaries"]
next_token = response.get("NextToken")
while next_token is not None:
response = transcribe_client.list_transcription_jobs(
JobNameContains=job_filter, NextToken=next_token
)
jobs += response["TranscriptionJobSummaries"]
next_token = response.get("NextToken")
logger.info("Got %s jobs with filter %s.", len(jobs), job_filter)
except ClientError:
logger.exception("Couldn't get jobs with filter %s.", job_filter)
raise
else:
return jobs
```
+ Para obter detalhes da API, consulte a [ListTranscriptionJobs](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/ListTranscriptionJobs)Referência da API *AWS SDK for Python (Boto3*).
------
#### [ SAP ABAP ]
**SDK para SAP ABAP**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples).
```
TRY.
IF iv_job_filter IS NOT INITIAL.
oo_result = lo_tnb->listtranscriptionjobs( iv_jobnamecontains = iv_job_filter ).
ELSE.
oo_result = lo_tnb->listtranscriptionjobs( ).
ENDIF.
MESSAGE 'Retrieved transcription jobs list.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
ENDTRY.
```
+ Para obter detalhes da API, consulte a [ListTranscriptionJobs](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)referência da *API AWS SDK for SAP ABAP*.
------
# Use `ListVocabularies` com um AWS SDK ou CLI
Os exemplos de código a seguir mostram como usar o `ListVocabularies`.
Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto no seguinte exemplo de código:
+ [Criar e refinar um vocabulário personalizado](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
------
#### [ .NET ]
**SDK para .NET**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples).
```
///
/// List custom vocabularies for the current account. Optionally specify a name
/// filter and a specific state to filter the vocabularies list.
///
/// Optional string the vocabulary name must contain.
/// Optional state of the vocabulary.
/// List of information about the vocabularies.
public async Task> ListCustomVocabularies(string? nameContains = null,
VocabularyState? stateEquals = null)
{
var response = await _amazonTranscribeService.ListVocabulariesAsync(
new ListVocabulariesRequest()
{
NameContains = nameContains,
StateEquals = stateEquals
});
return response.Vocabularies;
}
```
+ Para obter detalhes da API, consulte [ListVocabularies](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/ListVocabularies)a *Referência AWS SDK para .NET da API*.
------
#### [ CLI ]
**AWS CLI**
**Para listar os vocabulários personalizados**
O `list-vocabularies` exemplo a seguir lista os vocabulários personalizados associados à sua AWS conta e região.
```
aws transcribe list-vocabularies
```
Saída:
```
{
"NextToken": "NextToken",
"Vocabularies": [
{
"VocabularyName": "ards-test-1",
"LanguageCode": "language-code",
"LastModifiedTime": "2020-04-27T22:00:27.330000+00:00",
"VocabularyState": "READY"
},
{
"VocabularyName": "sample-test",
"LanguageCode": "language-code",
"LastModifiedTime": "2020-04-24T23:04:11.044000+00:00",
"VocabularyState": "READY"
},
{
"VocabularyName": "CRLF-to-LF-test-3-1",
"LanguageCode": "language-code",
"LastModifiedTime": "2020-04-24T22:12:22.277000+00:00",
"VocabularyState": "READY"
},
{
"VocabularyName": "CRLF-to-LF-test-2",
"LanguageCode": "language-code",
"LastModifiedTime": "2020-04-24T21:53:50.455000+00:00",
"VocabularyState": "READY"
},
{
"VocabularyName": "CRLF-to-LF-1-1",
"LanguageCode": "language-code",
"LastModifiedTime": "2020-04-24T21:39:33.356000+00:00",
"VocabularyState": "READY"
}
]
}
```
Para obter mais informações, consulte [Custom Vocabularies](https://docs.aws.amazon.com/transcribe/latest/dg/how-vocabulary.html) no *Guia do desenvolvedor do Amazon Transcribe*.
+ Para obter detalhes da API, consulte [ListVocabularies](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/list-vocabularies.html)em *Referência de AWS CLI Comandos*.
------
#### [ Python ]
**SDK para Python (Boto3)**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples).
```
def list_vocabularies(vocabulary_filter, transcribe_client):
"""
Lists the custom vocabularies created for this AWS account.
:param vocabulary_filter: The returned vocabularies must contain this string in
their names.
:param transcribe_client: The Boto3 Transcribe client.
:return: The list of retrieved vocabularies.
"""
try:
response = transcribe_client.list_vocabularies(NameContains=vocabulary_filter)
vocabs = response["Vocabularies"]
next_token = response.get("NextToken")
while next_token is not None:
response = transcribe_client.list_vocabularies(
NameContains=vocabulary_filter, NextToken=next_token
)
vocabs += response["Vocabularies"]
next_token = response.get("NextToken")
logger.info(
"Got %s vocabularies with filter %s.", len(vocabs), vocabulary_filter
)
except ClientError:
logger.exception(
"Couldn't list vocabularies with filter %s.", vocabulary_filter
)
raise
else:
return vocabs
```
+ Para obter detalhes da API, consulte a [ListVocabularies](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/ListVocabularies)Referência da API *AWS SDK for Python (Boto3*).
------
#### [ SAP ABAP ]
**SDK para SAP ABAP**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples).
```
TRY.
IF iv_vocab_filter IS NOT INITIAL.
oo_result = lo_tnb->listvocabularies( iv_namecontains = iv_vocab_filter ).
ELSE.
oo_result = lo_tnb->listvocabularies( ).
ENDIF.
MESSAGE 'Retrieved vocabularies list.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
ENDTRY.
```
+ Para obter detalhes da API, consulte a [ListVocabularies](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)referência da *API AWS SDK for SAP ABAP*.
------
# Use `StartMedicalTranscriptionJob` com um AWS SDK ou CLI
Os exemplos de código a seguir mostram como usar o `StartMedicalTranscriptionJob`.
------
#### [ .NET ]
**SDK para .NET**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples).
```
///
/// Start a medical transcription job for a media file. This method returns
/// as soon as the job is started.
///
/// A unique name for the medical transcription job.
/// The URI of the media file, typically an Amazon S3 location.
/// The format of the media file.
/// Location for the output, typically an Amazon S3 location.
/// Conversation or dictation transcription type.
/// A MedicalTransactionJob instance with information on the new job.
public async Task StartMedicalTranscriptionJob(
string jobName, string mediaFileUri,
MediaFormat mediaFormat, string outputBucketName, Amazon.TranscribeService.Type transcriptionType)
{
var response = await _amazonTranscribeService.StartMedicalTranscriptionJobAsync(
new StartMedicalTranscriptionJobRequest()
{
MedicalTranscriptionJobName = jobName,
Media = new Media()
{
MediaFileUri = mediaFileUri
},
MediaFormat = mediaFormat,
LanguageCode =
LanguageCode
.EnUS, // The value must be en-US for medical transcriptions.
OutputBucketName = outputBucketName,
OutputKey =
jobName, // The value is a key used to fetch the output of the transcription.
Specialty = Specialty.PRIMARYCARE, // The value PRIMARYCARE must be set.
Type = transcriptionType
});
return response.MedicalTranscriptionJob;
}
```
+ Para obter detalhes da API, consulte [StartMedicalTranscriptionJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/StartMedicalTranscriptionJob)a *Referência AWS SDK para .NET da API*.
------
#### [ CLI ]
**AWS CLI**
**Exemplo 1: como transcrever um ditado médico armazenado como um arquivo de áudio**
O exemplo de `start-medical-transcription-job` a seguir transcreve um arquivo de áudio. Especifique o local da saída da transcrição no parâmetro `OutputBucketName`.
```
aws transcribe start-medical-transcription-job \
--cli-input-json file://myfile.json
```
Conteúdo de `myfile.json`:
```
{
"MedicalTranscriptionJobName": "simple-dictation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "DICTATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
}
}
```
Saída:
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "simple-dictation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-20T00:35:22.256000+00:00",
"CreationTime": "2020-09-20T00:35:22.218000+00:00",
"Specialty": "PRIMARYCARE",
"Type": "DICTATION"
}
}
```
Para obter mais informações, consulte [Batch Transcription Overview](https://docs.aws.amazon.com/transcribe/latest/dg/batch-med-transcription.html) no *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 2: como transcrever um diálogo entre médico e paciente armazenado como um arquivo de áudio**
O exemplo de `start-medical-transcription-job` a seguir transcreve um arquivo de áudio contendo um diálogo entre médico e paciente. Você especifica a localização da saída da transcrição no OutputBucketName parâmetro.
```
aws transcribe start-medical-transcription-job \
--cli-input-json file://mysecondfile.json
```
Conteúdo de `mysecondfile.json`:
```
{
"MedicalTranscriptionJobName": "simple-dictation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
}
}
```
Saída:
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "simple-conversation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-20T23:19:49.965000+00:00",
"CreationTime": "2020-09-20T23:19:49.941000+00:00",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
}
}
```
Para obter mais informações, consulte [Batch Transcription Overview](https://docs.aws.amazon.com/transcribe/latest/dg/batch-med-transcription.html) no *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 3: como transcrever um arquivo de áudio multicanal de um diálogo entre médico e paciente**
O exemplo de `start-medical-transcription-job` a seguir transcreve o áudio de cada canal no arquivo de áudio e mescla as transcrições separadas de cada canal em uma única saída de transcrição. Especifique o local da saída da transcrição no parâmetro `OutputBucketName`.
```
aws transcribe start-medical-transcription-job \
--cli-input-json file://mythirdfile.json
```
Conteúdo de `mythirdfile.json`:
```
{
"MedicalTranscriptionJobName": "multichannel-conversation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"Settings":{
"ChannelIdentification": true
}
}
```
Saída:
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "multichannel-conversation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-20T23:46:44.081000+00:00",
"CreationTime": "2020-09-20T23:46:44.053000+00:00",
"Settings": {
"ChannelIdentification": true
},
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
}
}
```
Para obter mais informações, consulte [Channel Identification](https://docs.aws.amazon.com/transcribe/latest/dg/how-channel-id-med.html) no *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 4: como transcrever um arquivo de áudio de um diálogo entre médico e paciente e identificar quem está falando na saída da transcrição**
O exemplo de `start-medical-transcription-job` a seguir transcreve um arquivo de áudio e rotula a fala de cada locutor na saída da transcrição. Especifique o local da saída da transcrição no parâmetro `OutputBucketName`.
```
aws transcribe start-medical-transcription-job \
--cli-input-json file://myfourthfile.json
```
Conteúdo de `myfourthfile.json`:
```
{
"MedicalTranscriptionJobName": "speaker-id-conversation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"Settings":{
"ShowSpeakerLabels": true,
"MaxSpeakerLabels": 2
}
}
```
Saída:
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "speaker-id-conversation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-21T18:43:37.265000+00:00",
"CreationTime": "2020-09-21T18:43:37.157000+00:00",
"Settings": {
"ShowSpeakerLabels": true,
"MaxSpeakerLabels": 2
},
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
}
}
```
Para obter mais informações, consulte [Identifying Speakers](https://docs.aws.amazon.com/transcribe/latest/dg/diarization-med.html) no *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 5: como transcrever uma conversa médica armazenada como um arquivo de áudio com até duas alternativas de transcrição**
O exemplo de `start-medical-transcription-job` a seguir cria até duas transcrições alternativas de um único arquivo de áudio. Cada transcrição tem um nível de confiança associado a ela. Por padrão, o Amazon Transcribe retorna a transcrição com o maior nível de confiança. É possível especificar que o Amazon Transcribe retorne transcrições adicionais com níveis de confiança mais baixos. Especifique o local da saída da transcrição no parâmetro `OutputBucketName`.
```
aws transcribe start-medical-transcription-job \
--cli-input-json file://myfifthfile.json
```
Conteúdo de `myfifthfile.json`:
```
{
"MedicalTranscriptionJobName": "alternatives-conversation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"Settings":{
"ShowAlternatives": true,
"MaxAlternatives": 2
}
}
```
Saída:
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "alternatives-conversation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-21T19:09:18.199000+00:00",
"CreationTime": "2020-09-21T19:09:18.171000+00:00",
"Settings": {
"ShowAlternatives": true,
"MaxAlternatives": 2
},
"Specialty": "PRIMARYCARE",
"Type": "CONVERSATION"
}
}
```
Para obter mais informações, consulte [Alternative Transcriptions](https://docs.aws.amazon.com/transcribe/latest/dg/how-alternatives-med.html) no *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 6: como transcrever um arquivo de áudio de um ditado médico com até duas transcrições alternativas**
O exemplo de `start-medical-transcription-job` a seguir transcreve um arquivo de áudio e usa um filtro de vocabulário para mascarar qualquer palavra indesejada. Você especifica a localização da saída da transcrição no OutputBucketName parâmetro.
```
aws transcribe start-medical-transcription-job \
--cli-input-json file://mysixthfile.json
```
Conteúdo de `mysixthfile.json`:
```
{
"MedicalTranscriptionJobName": "alternatives-conversation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "DICTATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"Settings":{
"ShowAlternatives": true,
"MaxAlternatives": 2
}
}
```
Saída:
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "alternatives-dictation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-21T21:01:14.592000+00:00",
"CreationTime": "2020-09-21T21:01:14.569000+00:00",
"Settings": {
"ShowAlternatives": true,
"MaxAlternatives": 2
},
"Specialty": "PRIMARYCARE",
"Type": "DICTATION"
}
}
```
Para obter mais informações, consulte [Alternative Transcriptions](https://docs.aws.amazon.com/transcribe/latest/dg/how-alternatives-med.html) no *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 7: como transcrever um arquivo de áudio de um ditado médico com maior precisão usando um vocabulário personalizado**
O exemplo de `start-medical-transcription-job` a seguir transcreve um arquivo de áudio e usa um vocabulário médico personalizado que você criou anteriormente para aumentar a precisão da transcrição. Especifique o local da saída da transcrição no parâmetro `OutputBucketName`.
```
aws transcribe start-transcription-job \
--cli-input-json file://myseventhfile.json
```
Conteúdo de `mysixthfile.json`:
```
{
"MedicalTranscriptionJobName": "vocabulary-dictation-medical-transcription-job",
"LanguageCode": "language-code",
"Specialty": "PRIMARYCARE",
"Type": "DICTATION",
"OutputBucketName":"amzn-s3-demo-bucket",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"Settings":{
"VocabularyName": "cli-medical-vocab-1"
}
}
```
Saída:
```
{
"MedicalTranscriptionJob": {
"MedicalTranscriptionJobName": "vocabulary-dictation-medical-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.extension"
},
"StartTime": "2020-09-21T21:17:27.045000+00:00",
"CreationTime": "2020-09-21T21:17:27.016000+00:00",
"Settings": {
"VocabularyName": "cli-medical-vocab-1"
},
"Specialty": "PRIMARYCARE",
"Type": "DICTATION"
}
}
```
Para obter mais informações, consulte [Medical Custom Vocabularies](https://docs.aws.amazon.com/transcribe/latest/dg/how-vocabulary-med.html) no *Guia do desenvolvedor do Amazon Transcribe*.
+ Para obter detalhes da API, consulte [StartMedicalTranscriptionJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/start-medical-transcription-job.html)em *Referência de AWS CLI Comandos*.
------
#### [ JavaScript ]
**SDK para JavaScript (v3)**
Tem mais sobre GitHub. Encontre o exemplo completo e veja como configurar e executar no [Repositório de exemplos de código da AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples).
Crie o cliente.
```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
Iniciar um trabalho de transcrição médica.
```
// Import the required AWS SDK clients and commands for Node.js
import { StartMedicalTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";
// Set the parameters
export const params = {
MedicalTranscriptionJobName: "MEDICAL_JOB_NAME", // Required
OutputBucketName: "OUTPUT_BUCKET_NAME", // Required
Specialty: "PRIMARYCARE", // Required. Possible values are 'PRIMARYCARE'
Type: "JOB_TYPE", // Required. Possible values are 'CONVERSATION' and 'DICTATION'
LanguageCode: "LANGUAGE_CODE", // For example, 'en-US'
MediaFormat: "SOURCE_FILE_FORMAT", // For example, 'wav'
Media: {
MediaFileUri: "SOURCE_FILE_LOCATION",
// The S3 object location of the input media file. The URI must be in the same region
// as the API endpoint that you are calling.For example,
// "https://transcribe-demo.s3-REGION.amazonaws.com/hello_world.wav"
},
};
export const run = async () => {
try {
const data = await transcribeClient.send(
new StartMedicalTranscriptionJobCommand(params),
);
console.log("Success - put", data);
return data; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
```
+ Para obter mais informações, consulte o [Guia do desenvolvedor do AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-medical-examples-section.html#transcribe-start-medical-transcription).
+ Para obter detalhes da API, consulte [StartMedicalTranscriptionJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/StartMedicalTranscriptionJobCommand)a *Referência AWS SDK para JavaScript da API*.
------
# Use `StartTranscriptionJob` com um AWS SDK ou CLI
Os exemplos de código a seguir mostram como usar o `StartTranscriptionJob`.
Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código:
+ [Criar e refinar um vocabulário personalizado](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
+ [Transcrever áudio e obter dados do trabalho](transcribe_example_transcribe_Scenario_GettingStartedTranscriptionJobs_section.md)
------
#### [ .NET ]
**SDK para .NET**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples).
```
///
/// Start a transcription job for a media file. This method returns
/// as soon as the job is started.
///
/// A unique name for the transcription job.
/// The URI of the media file, typically an Amazon S3 location.
/// The format of the media file.
/// The language code of the media file, such as en-US.
/// Optional name of a custom vocabulary.
/// A TranscriptionJob instance with information on the new job.
public async Task StartTranscriptionJob(string jobName, string mediaFileUri,
MediaFormat mediaFormat, LanguageCode languageCode, string? vocabularyName)
{
var response = await _amazonTranscribeService.StartTranscriptionJobAsync(
new StartTranscriptionJobRequest()
{
TranscriptionJobName = jobName,
Media = new Media()
{
MediaFileUri = mediaFileUri
},
MediaFormat = mediaFormat,
LanguageCode = languageCode,
Settings = vocabularyName != null ? new Settings()
{
VocabularyName = vocabularyName
} : null
});
return response.TranscriptionJob;
}
```
+ Para obter detalhes da API, consulte [StartTranscriptionJob](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/StartTranscriptionJob)a *Referência AWS SDK para .NET da API*.
------
#### [ CLI ]
**AWS CLI**
**Exemplo 1: como transcrever um arquivo de áudio**
O exemplo de `start-transcription-job` a seguir transcreve o arquivo de áudio.
```
aws transcribe start-transcription-job \
--cli-input-json file://myfile.json
```
Conteúdo de `myfile.json`:
```
{
"TranscriptionJobName": "cli-simple-transcription-job",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
}
}
```
Para obter mais informações, consulte [Conceitos básicos (interface de linha de AWS comando)](https://docs.aws.amazon.com/transcribe/latest/dg/getting-started-cli.html) no Guia do *desenvolvedor do Amazon Transcribe*.
**Exemplo 2: como transcrever um arquivo de áudio multicanal**
O exemplo de `start-transcription-job` a seguir transcreve o arquivo de áudio multicanal.
```
aws transcribe start-transcription-job \
--cli-input-json file://mysecondfile.json
```
Conteúdo de `mysecondfile.json`:
```
{
"TranscriptionJobName": "cli-channelid-job",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"Settings":{
"ChannelIdentification":true
}
}
```
Saída:
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-channelid-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"StartTime": "2020-09-17T16:07:56.817000+00:00",
"CreationTime": "2020-09-17T16:07:56.784000+00:00",
"Settings": {
"ChannelIdentification": true
}
}
}
```
Para obter mais informações, consulte [Transcribing Multi-Channel Audio](https://docs.aws.amazon.com/transcribe/latest/dg/channel-id.html) no *Guia do desenvolvedor do Amazon Transcribe.*
**Exemplo 3: como transcrever um arquivo de áudio e identificar quem está falando**
O exemplo de `start-transcription-job` a seguir transcreve o arquivo de áudio e identifica os locutores na saída da transcrição.
```
aws transcribe start-transcription-job \
--cli-input-json file://mythirdfile.json
```
Conteúdo de `mythirdfile.json`:
```
{
"TranscriptionJobName": "cli-speakerid-job",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"Settings":{
"ShowSpeakerLabels": true,
"MaxSpeakerLabels": 2
}
}
```
Saída:
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-speakerid-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"StartTime": "2020-09-17T16:22:59.696000+00:00",
"CreationTime": "2020-09-17T16:22:59.676000+00:00",
"Settings": {
"ShowSpeakerLabels": true,
"MaxSpeakerLabels": 2
}
}
}
```
Para obter mais informações, consulte [Identifying Speakers](https://docs.aws.amazon.com/transcribe/latest/dg/diarization.html) no *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 4: como transcrever um arquivo de áudio e mascarar palavras indesejadas na saída da transcrição**
O exemplo de `start-transcription-job` a seguir transcreve o arquivo de áudio e usa um filtro de vocabulário que você criou anteriormente para mascarar palavras indesejadas.
```
aws transcribe start-transcription-job \
--cli-input-json file://myfourthfile.json
```
Conteúdo de `myfourthfile.json`:
```
{
"TranscriptionJobName": "cli-filter-mask-job",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"Settings":{
"VocabularyFilterName": "your-vocabulary-filter",
"VocabularyFilterMethod": "mask"
}
}
```
Saída:
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-filter-mask-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://Amazon-S3-Prefix/your-media-file.file-extension"
},
"StartTime": "2020-09-18T16:36:18.568000+00:00",
"CreationTime": "2020-09-18T16:36:18.547000+00:00",
"Settings": {
"VocabularyFilterName": "your-vocabulary-filter",
"VocabularyFilterMethod": "mask"
}
}
}
```
Para obter mais informações, consulte [Filtering Transcriptions](https://docs.aws.amazon.com/transcribe/latest/dg/filter-transcriptions.html) o *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 5: como transcrever um arquivo de áudio e remover palavras indesejadas na saída da transcrição**
O exemplo de `start-transcription-job` a seguir transcreve o arquivo de áudio e usa um filtro de vocabulário que você criou anteriormente para mascarar palavras indesejadas.
```
aws transcribe start-transcription-job \
--cli-input-json file://myfifthfile.json
```
Conteúdo de `myfifthfile.json`:
```
{
"TranscriptionJobName": "cli-filter-remove-job",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"Settings":{
"VocabularyFilterName": "your-vocabulary-filter",
"VocabularyFilterMethod": "remove"
}
}
```
Saída:
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-filter-remove-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"StartTime": "2020-09-18T16:36:18.568000+00:00",
"CreationTime": "2020-09-18T16:36:18.547000+00:00",
"Settings": {
"VocabularyFilterName": "your-vocabulary-filter",
"VocabularyFilterMethod": "remove"
}
}
}
```
Para obter mais informações, consulte [Filtering Transcriptions](https://docs.aws.amazon.com/transcribe/latest/dg/filter-transcriptions.html) o *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 6: como transcrever um arquivo de áudio com maior precisão usando um vocabulário personalizado**
O exemplo de `start-transcription-job` a seguir transcreve o arquivo de áudio e usa um filtro de vocabulário que você criou anteriormente para mascarar palavras indesejadas.
```
aws transcribe start-transcription-job \
--cli-input-json file://mysixthfile.json
```
Conteúdo de `mysixthfile.json`:
```
{
"TranscriptionJobName": "cli-vocab-job",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"Settings":{
"VocabularyName": "your-vocabulary"
}
}
```
Saída:
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-vocab-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "the-language-of-your-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"StartTime": "2020-09-18T16:36:18.568000+00:00",
"CreationTime": "2020-09-18T16:36:18.547000+00:00",
"Settings": {
"VocabularyName": "your-vocabulary"
}
}
}
```
Para obter mais informações, consulte [Filtering Transcriptions](https://docs.aws.amazon.com/transcribe/latest/dg/filter-transcriptions.html) o *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 7: como identificar o idioma de um arquivo de áudio e transcrevê-lo**
O exemplo de `start-transcription-job` a seguir transcreve o arquivo de áudio e usa um filtro de vocabulário que você criou anteriormente para mascarar palavras indesejadas.
```
aws transcribe start-transcription-job \
--cli-input-json file://myseventhfile.json
```
Conteúdo de `myseventhfile.json`:
```
{
"TranscriptionJobName": "cli-identify-language-transcription-job",
"IdentifyLanguage": true,
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
}
}
```
Saída:
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-identify-language-transcription-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/Amazon-S3-prefix/your-media-file-name.file-extension"
},
"StartTime": "2020-09-18T22:27:23.970000+00:00",
"CreationTime": "2020-09-18T22:27:23.948000+00:00",
"IdentifyLanguage": true
}
}
```
Para obter mais informações, consulte [Identifying the Language](https://docs.aws.amazon.com/transcribe/latest/dg/auto-lang-id.html) no *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 8: como transcrever um arquivo de áudio com informações de identificação pessoal censuradas**
O exemplo de `start-transcription-job` a seguir transcreve o arquivo de áudio e oculta qualquer informação de identificação pessoal na saída da transcrição.
```
aws transcribe start-transcription-job \
--cli-input-json file://myeighthfile.json
```
Conteúdo de `myeigthfile.json`:
```
{
"TranscriptionJobName": "cli-redaction-job",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://Amazon-S3-Prefix/your-media-file.file-extension"
},
"ContentRedaction": {
"RedactionOutput":"redacted",
"RedactionType":"PII"
}
}
```
Saída:
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-redaction-job",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://Amazon-S3-Prefix/your-media-file.file-extension"
},
"StartTime": "2020-09-25T23:49:13.195000+00:00",
"CreationTime": "2020-09-25T23:49:13.176000+00:00",
"ContentRedaction": {
"RedactionType": "PII",
"RedactionOutput": "redacted"
}
}
}
```
Para obter mais informações, consulte [Automatic Content Redaction](https://docs.aws.amazon.com/transcribe/latest/dg/content-redaction.html) no *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 9: como gerar uma transcrição com informações de identificação pessoal (PII) censuradas e uma transcrição não censurada**
O exemplo de `start-transcription-job` a seguir gera duas transcrições do arquivo de áudio, uma com as informações de identificação pessoal editadas e a outra sem nenhuma edição.
```
aws transcribe start-transcription-job \
--cli-input-json file://myninthfile.json
```
Conteúdo de `myninthfile.json`:
```
{
"TranscriptionJobName": "cli-redaction-job-with-unredacted-transcript",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://Amazon-S3-Prefix/your-media-file.file-extension"
},
"ContentRedaction": {
"RedactionOutput":"redacted_and_unredacted",
"RedactionType":"PII"
}
}
```
Saída:
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-redaction-job-with-unredacted-transcript",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://Amazon-S3-Prefix/your-media-file.file-extension"
},
"StartTime": "2020-09-25T23:59:47.677000+00:00",
"CreationTime": "2020-09-25T23:59:47.653000+00:00",
"ContentRedaction": {
"RedactionType": "PII",
"RedactionOutput": "redacted_and_unredacted"
}
}
}
```
Para obter mais informações, consulte [Automatic Content Redaction](https://docs.aws.amazon.com/transcribe/latest/dg/content-redaction.html) no *Guia do desenvolvedor do Amazon Transcribe*.
**Exemplo 10: como usar um modelo de linguagem personalizado criado anteriormente para transcrever um arquivo de áudio.**
O exemplo de `start-transcription-job` a seguir transcreve o arquivo de áudio com um modelo de idioma personalizado que você criou anteriormente.
```
aws transcribe start-transcription-job \
--cli-input-json file://mytenthfile.json
```
Conteúdo de `mytenthfile.json`:
```
{
"TranscriptionJobName": "cli-clm-2-job-1",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.file-extension"
},
"ModelSettings": {
"LanguageModelName":"cli-clm-2"
}
}
```
Saída:
```
{
"TranscriptionJob": {
"TranscriptionJobName": "cli-clm-2-job-1",
"TranscriptionJobStatus": "IN_PROGRESS",
"LanguageCode": "language-code",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/your-audio-file.file-extension"
},
"StartTime": "2020-09-28T17:56:01.835000+00:00",
"CreationTime": "2020-09-28T17:56:01.801000+00:00",
"ModelSettings": {
"LanguageModelName": "cli-clm-2"
}
}
}
```
Para obter mais informações, consulte [Improving Domain-Specific Transcription Accuracy with Custom Language Models](https://docs.aws.amazon.com/transcribe/latest/dg/custom-language-models.html) no *Guia do desenvolvedor do Amazon Transcribe*.
+ Para obter detalhes da API, consulte [StartTranscriptionJob](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/start-transcription-job.html)em *Referência de AWS CLI Comandos*.
------
#### [ JavaScript ]
**SDK para JavaScript (v3)**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/transcribe#code-examples).
Iniciar um trabalho de transcrição.
```
// Import the required AWS SDK clients and commands for Node.js
import { StartTranscriptionJobCommand } from "@aws-sdk/client-transcribe";
import { transcribeClient } from "./libs/transcribeClient.js";
// Set the parameters
export const params = {
TranscriptionJobName: "JOB_NAME",
LanguageCode: "LANGUAGE_CODE", // For example, 'en-US'
MediaFormat: "SOURCE_FILE_FORMAT", // For example, 'wav'
Media: {
MediaFileUri: "SOURCE_LOCATION",
// For example, "https://transcribe-demo.s3-REGION.amazonaws.com/hello_world.wav"
},
OutputBucketName: "OUTPUT_BUCKET_NAME",
};
export const run = async () => {
try {
const data = await transcribeClient.send(
new StartTranscriptionJobCommand(params),
);
console.log("Success - put", data);
return data; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
```
Crie o cliente.
```
import { TranscribeClient } from "@aws-sdk/client-transcribe";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon Transcribe service client object.
const transcribeClient = new TranscribeClient({ region: REGION });
export { transcribeClient };
```
+ Para obter mais informações, consulte o [Guia do desenvolvedor do AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/transcribe-examples-section.html#transcribe-start-transcription).
+ Para obter detalhes da API, consulte [StartTranscriptionJob](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/transcribe/command/StartTranscriptionJobCommand)a *Referência AWS SDK para JavaScript da API*.
------
#### [ Python ]
**SDK para Python (Boto3)**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples).
```
def start_job(
job_name,
media_uri,
media_format,
language_code,
transcribe_client,
vocabulary_name=None,
):
"""
Starts a transcription job. This function returns as soon as the job is started.
To get the current status of the job, call get_transcription_job. The job is
successfully completed when the job status is 'COMPLETED'.
:param job_name: The name of the transcription job. This must be unique for
your AWS account.
:param media_uri: The URI where the audio file is stored. This is typically
in an Amazon S3 bucket.
:param media_format: The format of the audio file. For example, mp3 or wav.
:param language_code: The language code of the audio file.
For example, en-US or ja-JP
:param transcribe_client: The Boto3 Transcribe client.
:param vocabulary_name: The name of a custom vocabulary to use when transcribing
the audio file.
:return: Data about the job.
"""
try:
job_args = {
"TranscriptionJobName": job_name,
"Media": {"MediaFileUri": media_uri},
"MediaFormat": media_format,
"LanguageCode": language_code,
}
if vocabulary_name is not None:
job_args["Settings"] = {"VocabularyName": vocabulary_name}
response = transcribe_client.start_transcription_job(**job_args)
job = response["TranscriptionJob"]
logger.info("Started transcription job %s.", job_name)
except ClientError:
logger.exception("Couldn't start transcription job %s.", job_name)
raise
else:
return job
```
+ Para obter detalhes da API, consulte a [StartTranscriptionJob](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/StartTranscriptionJob)Referência da API *AWS SDK for Python (Boto3*).
------
#### [ SAP ABAP ]
**SDK para SAP ABAP**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples).
```
TRY.
DATA(lo_media) = NEW /aws1/cl_tnbmedia( iv_mediafileuri = iv_media_uri ).
DATA(lo_settings) = NEW /aws1/cl_tnbsettings( ).
IF iv_vocabulary_name IS NOT INITIAL.
lo_settings = NEW /aws1/cl_tnbsettings( iv_vocabularyname = iv_vocabulary_name ).
ENDIF.
oo_result = lo_tnb->starttranscriptionjob(
iv_transcriptionjobname = iv_job_name
io_media = lo_media
iv_mediaformat = iv_media_format
iv_languagecode = iv_language_code
io_settings = lo_settings ).
MESSAGE 'Transcription job started.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
RAISE EXCEPTION lo_bad_request_ex.
CATCH /aws1/cx_tnblimitexceededex INTO DATA(lo_limit_ex).
MESSAGE lo_limit_ex TYPE 'I'.
RAISE EXCEPTION lo_limit_ex.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
CATCH /aws1/cx_tnbconflictexception INTO DATA(lo_conflict_ex).
MESSAGE lo_conflict_ex TYPE 'I'.
RAISE EXCEPTION lo_conflict_ex.
ENDTRY.
```
+ Para obter detalhes da API, consulte a [StartTranscriptionJob](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)referência da *API AWS SDK for SAP ABAP*.
------
# Use `UpdateVocabulary` com um AWS SDK ou CLI
Os exemplos de código a seguir mostram como usar o `UpdateVocabulary`.
Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto no seguinte exemplo de código:
+ [Criar e refinar um vocabulário personalizado](transcribe_example_transcribe_Scenario_CustomVocabulary_section.md)
------
#### [ .NET ]
**SDK para .NET**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Transcribe#code-examples).
```
///
/// Update a custom vocabulary with new values. Update overwrites all existing information.
///
/// The language code of the vocabulary.
/// Phrases to use in the vocabulary.
/// Name for the vocabulary.
/// The state of the custom vocabulary.
public async Task UpdateCustomVocabulary(LanguageCode languageCode,
List phrases, string vocabularyName)
{
var response = await _amazonTranscribeService.UpdateVocabularyAsync(
new UpdateVocabularyRequest()
{
LanguageCode = languageCode,
Phrases = phrases,
VocabularyName = vocabularyName
});
return response.VocabularyState;
}
```
+ Para obter detalhes da API, consulte [UpdateVocabulary](https://docs.aws.amazon.com/goto/DotNetSDKV3/transcribe-2017-10-26/UpdateVocabulary)a *Referência AWS SDK para .NET da API*.
------
#### [ CLI ]
**AWS CLI**
**Como atualizar um vocabulário personalizado com novos termos.**
O exemplo de `update-vocabulary` a seguir substitui os termos usados para criar o vocabulário personalizado pelos novos termos fornecidos. Pré-requisito: para substituir os termos em um vocabulário personalizado, você precisa de um arquivo com novos termos.
```
aws transcribe update-vocabulary \
--vocabulary-file-uri s3://amzn-s3-demo-bucket/Amazon-S3-Prefix/custom-vocabulary.txt \
--vocabulary-name custom-vocabulary \
--language-code language-code
```
Saída:
```
{
"VocabularyName": "custom-vocabulary",
"LanguageCode": "language",
"VocabularyState": "PENDING"
}
```
Para obter mais informações, consulte [Custom Vocabularies](https://docs.aws.amazon.com/transcribe/latest/dg/how-vocabulary.html) no *Guia do desenvolvedor do Amazon Transcribe*.
+ Para obter detalhes da API, consulte [UpdateVocabulary](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/update-vocabulary.html)em *Referência de AWS CLI Comandos*.
------
#### [ Python ]
**SDK para Python (Boto3)**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/transcribe#code-examples).
```
def update_vocabulary(
vocabulary_name, language_code, transcribe_client, phrases=None, table_uri=None
):
"""
Updates an existing custom vocabulary. The entire vocabulary is replaced with
the contents of the update.
:param vocabulary_name: The name of the vocabulary to update.
:param language_code: The language code of the vocabulary.
:param transcribe_client: The Boto3 Transcribe client.
:param phrases: A list of comma-separated phrases to include in the vocabulary.
:param table_uri: A table of phrases and pronunciation hints to include in the
vocabulary.
"""
try:
vocab_args = {"VocabularyName": vocabulary_name, "LanguageCode": language_code}
if phrases is not None:
vocab_args["Phrases"] = phrases
elif table_uri is not None:
vocab_args["VocabularyFileUri"] = table_uri
response = transcribe_client.update_vocabulary(**vocab_args)
logger.info("Updated custom vocabulary %s.", response["VocabularyName"])
except ClientError:
logger.exception("Couldn't update custom vocabulary %s.", vocabulary_name)
raise
```
+ Para obter detalhes da API, consulte a [UpdateVocabulary](https://docs.aws.amazon.com/goto/boto3/transcribe-2017-10-26/UpdateVocabulary)Referência da API *AWS SDK for Python (Boto3*).
------
#### [ SAP ABAP ]
**SDK para SAP ABAP**
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/tnb#code-examples).
```
TRY.
IF it_phrases IS NOT INITIAL.
oo_result = lo_tnb->updatevocabulary(
iv_vocabularyname = iv_vocabulary_name
iv_languagecode = iv_language_code
it_phrases = it_phrases ).
ELSEIF iv_vocab_file_uri IS NOT INITIAL.
oo_result = lo_tnb->updatevocabulary(
iv_vocabularyname = iv_vocabulary_name
iv_languagecode = iv_language_code
iv_vocabularyfileuri = iv_vocab_file_uri ).
ENDIF.
MESSAGE 'Vocabulary updated.' TYPE 'I'.
CATCH /aws1/cx_tnbbadrequestex INTO DATA(lo_bad_request_ex).
MESSAGE lo_bad_request_ex TYPE 'I'.
CATCH /aws1/cx_tnblimitexceededex INTO DATA(lo_limit_ex).
MESSAGE lo_limit_ex TYPE 'I'.
RAISE EXCEPTION lo_limit_ex.
CATCH /aws1/cx_tnbnotfoundexception INTO DATA(lo_not_found_ex).
MESSAGE lo_not_found_ex TYPE 'I'.
CATCH /aws1/cx_tnbinternalfailureex INTO DATA(lo_internal_ex).
MESSAGE lo_internal_ex TYPE 'I'.
RAISE EXCEPTION lo_internal_ex.
CATCH /aws1/cx_tnbconflictexception INTO DATA(lo_conflict_ex).
MESSAGE lo_conflict_ex TYPE 'I'.
RAISE EXCEPTION lo_conflict_ex.
ENDTRY.
```
+ Para obter detalhes da API, consulte a [UpdateVocabulary](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)referência da *API AWS SDK for SAP ABAP*.
------