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AWS Polly is a cloud service provided by Amazon Web Services that converts text into lifelike speech. It enables developers to create applications that can speak in a variety of languages and voices, enhancing user interaction through voice-based interfaces. AWS Polly is widely used in applications such as newsreaders, e-learning platforms, and voice assistants.
When using AWS Polly, you might encounter the ServiceUnavailableException
. This error indicates that the AWS Polly service is temporarily unavailable, and your application might not be able to process text-to-speech requests during this period.
The ServiceUnavailableException
is an error response from AWS Polly indicating that the service is currently unable to handle the request. This could be due to maintenance activities, high traffic, or other temporary issues affecting the service's availability.
To address the ServiceUnavailableException
, follow these steps:
Visit the AWS Service Health Dashboard to check if there are any ongoing issues with AWS Polly. This dashboard provides real-time information about the status of AWS services.
Incorporate retry logic in your application to handle temporary service unavailability. Use exponential backoff strategy to retry the request after a short delay. Here is a basic example in Python:
import time
import boto3
from botocore.exceptions import ClientError
def synthesize_speech_with_retry(text, voice_id, max_retries=5):
polly_client = boto3.client('polly')
retries = 0
while retries < max_retries:
try:
response = polly_client.synthesize_speech(
Text=text,
VoiceId=voice_id,
OutputFormat='mp3'
)
return response
except ClientError as e:
if e.response['Error']['Code'] == 'ServiceUnavailableException':
retries += 1
time.sleep(2 ** retries) # Exponential backoff
else:
raise
raise Exception("Max retries exceeded")
If the issue persists, consider reaching out to AWS Support for further assistance. They can provide more detailed insights into the problem and help resolve it.
Encountering a ServiceUnavailableException
can be frustrating, but by understanding the root cause and implementing the suggested solutions, you can minimize downtime and ensure your application continues to function smoothly. Always keep an eye on the AWS Service Health Dashboard and implement robust error handling in your applications.
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