# This is an automatically generated code sample.
# To make this code sample work in your Oracle Cloud tenancy,
# please replace the values for any parameters whose current values do not fit
# your use case (such as resource IDs, strings containing ‘EXAMPLE’ or ‘unique_id’, and
# boolean, number, and enum parameters with values not fitting your use case).
import oci
# Create a default config using DEFAULT profile in default location
# Refer to
# https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm#SDK_and_CLI_Configuration_File
# for more info
config = oci.config.from_file()
# Initialize service client with default config file
ai_speech_client = oci.ai_speech.AIServiceSpeechClient(config)
# Send the request to service, some parameters are not required, see API
# doc for more info
create_transcription_job_response = ai_speech_client.create_transcription_job(
create_transcription_job_details=oci.ai_speech.models.CreateTranscriptionJobDetails(
compartment_id="ocid1.test.oc1..<unique_ID>EXAMPLE-compartmentId-Value",
input_location=oci.ai_speech.models.ObjectListFileInputLocation(
location_type="OBJECT_LIST_FILE_INPUT_LOCATION",
object_location=oci.ai_speech.models.ObjectLocation(
namespace_name="EXAMPLE-namespaceName-Value",
bucket_name="EXAMPLE-bucketName-Value",
object_names=["EXAMPLE--Value"])),
output_location=oci.ai_speech.models.OutputLocation(
namespace_name="EXAMPLE-namespaceName-Value",
bucket_name="EXAMPLE-bucketName-Value",
prefix="EXAMPLE-prefix-Value"),
display_name="EXAMPLE-displayName-Value",
description="EXAMPLE-description-Value",
additional_transcription_formats=["SRT"],
model_details=oci.ai_speech.models.TranscriptionModelDetails(
model_type="EXAMPLE-modelType-Value",
domain="GENERIC",
language_code="kn",
transcription_settings=oci.ai_speech.models.TranscriptionSettings(
diarization=oci.ai_speech.models.Diarization(
is_diarization_enabled=True,
number_of_speakers=12))),
normalization=oci.ai_speech.models.TranscriptionNormalization(
is_punctuation_enabled=True,
filters=[
oci.ai_speech.models.ProfanityTranscriptionFilter(
type="PROFANITY",
mode="TAG")]),
freeform_tags={
'EXAMPLE_KEY_reCDt': 'EXAMPLE_VALUE_XNxyFAM9Mof5OQ9ukRcz'},
defined_tags={
'EXAMPLE_KEY_2qVDu': {
'EXAMPLE_KEY_zubEA': 'EXAMPLE--Value'}}),
opc_retry_token="EXAMPLE-opcRetryToken-Value",
opc_request_id="VL9WEIEFIUXSVY1WP1TJ<unique_ID>")
# Get the data from response
print(create_transcription_job_response.data)