Enabling generative call summarization - Amazon Transcribe

Enabling generative call summarization

Note

Generative call summarization feature is in preview release for Transcribe Call Analytics - Post Call Analytics and is subject to change. The feature is provided as a Preview service as defined in the AWS Service Terms.

Note

Powered by Amazon Bedrock: AWS implements automated abuse detection. Because post-contact summarization powered by generative AI is built on Amazon Bedrock, users can take full advantage of the controls implemented in Amazon Bedrock to enforce safety, security, and the responsible use of artificial intelligence (AI).

To use generative call summarization with a post call analytics job, see the following for examples:

In the Summarization panel, enable Generative call summarization to receive summary in the output.


            Amazon Transcribe console screenshot: the 'Call Analytics jobs' page.

This example uses the start-call-analytics-job command and Settings parameter with the Summarization sub-parameters. For more information, see StartCallAnalyticsJob.

aws transcribe start-call-analytics-job \ --region us-west-2 \ --call-analytics-job-name my-first-call-analytics-job \ --media MediaFileUri=s3://DOC-EXAMPLE-BUCKET/my-input-files/my-media-file.flac \ --output-location s3://DOC-EXAMPLE-BUCKET/my-output-files/ \ --data-access-role-arn arn:aws:iam::111122223333:role/ExampleRole \ --channel-definitions ChannelId=0,ParticipantRole=AGENT ChannelId=1,ParticipantRole=CUSTOMER --settings '{"Summarization":{"GenerateAbstractiveSummary":true}}'

Here's another example using the start-call-analytics-job command, and a request body that enables summarization for that job.

aws transcribe start-call-analytics-job \ --region us-west-2 \ --cli-input-json file://filepath/my-call-analytics-job.json

The file my-call-analytics-job.json contains the following request body.

{ "CallAnalyticsJobName": "my-first-call-analytics-job", "DataAccessRoleArn": "arn:aws:iam::111122223333:role/ExampleRole", "Media": { "MediaFileUri": "s3://DOC-EXAMPLE-BUCKET/my-input-files/my-media-file.flac" }, "OutputLocation": "s3://DOC-EXAMPLE-BUCKET/my-output-files/", "ChannelDefinitions": [ { "ChannelId": 0, "ParticipantRole": "AGENT" }, { "ChannelId": 1, "ParticipantRole": "CUSTOMER" } ], "Settings": { "Summarization":{ "GenerateAbstractiveSummary": true } } }

This example uses the AWS SDK for Python (Boto3) to start a Call Analytics with summarization enabled using the start_call_analytics_job method. For more information, see StartCallAnalyticsJob.

For additional examples using the AWS SDKs, including feature-specific, scenario, and cross-service examples, refer to the Code examples for Amazon Transcribe using AWS SDKs chapter.

from __future__ import print_function from __future__ import print_function import time import boto3 transcribe = boto3.client('transcribe', 'us-west-2') job_name = "my-first-call-analytics-job" job_uri = "s3://DOC-EXAMPLE-BUCKET/my-input-files/my-media-file.flac" output_location = "s3://DOC-EXAMPLE-BUCKET/my-output-files/" data_access_role = "arn:aws:iam::111122223333:role/ExampleRole" transcribe.start_call_analytics_job( CallAnalyticsJobName = job_name, Media = { 'MediaFileUri': job_uri }, DataAccessRoleArn = data_access_role, OutputLocation = output_location, ChannelDefinitions = [ { 'ChannelId': 0, 'ParticipantRole': 'AGENT' }, { 'ChannelId': 1, 'ParticipantRole': 'CUSTOMER' } ], Settings = { "Summarization": { "GenerateAbstractiveSummary": true } } ) while True: status = transcribe.get_call_analytics_job(CallAnalyticsJobName = job_name) if status['CallAnalyticsJob']['CallAnalyticsJobStatus'] in ['COMPLETED', 'FAILED']: break print("Not ready yet...") time.sleep(5) print(status)