wx44wx/pipecat
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update 07c example to use DeepgramSageMakerTTSService

Browse Source
This commit is contained in:
Mark Backman
2026-02-20 08:10:41 -07:00
parent 62ada92188
commit 82ce3ea8de
1 changed files with 4 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
examples/foundational/07c-interruptible-deepgram-sagemaker.py
View File

@@ -23,9 +23,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.aws.llm import AWSBedrockLLMService
from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.deepgram.stt_sagemaker import DeepgramSageMakerSTTService
from pipecat.services.deepgram.tts import DeepgramTTSService
from pipecat.services.deepgram.tts_sagemaker import DeepgramSageMakerTTSService
from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams
@@ -59,11 +57,10 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# This requires:
# - AWS credentials configured (via environment variables or AWS CLI)
# - A deployed SageMaker endpoint with Deepgram model
# stt = DeepgramSageMakerSTTService(
# endpoint_name=os.getenv("SAGEMAKER_STT_ENDPOINT_NAME"),
# region=os.getenv("AWS_REGION"),
# )
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
stt = DeepgramSageMakerSTTService(
endpoint_name=os.getenv("SAGEMAKER_STT_ENDPOINT_NAME"),
region=os.getenv("AWS_REGION"),
)
# Initialize Deepgram SageMaker TTS Service
# This requires: