diff --git a/examples/foundational/07c-interruptible-deepgram-sagemaker.py b/examples/foundational/07c-interruptible-deepgram-sagemaker.py
index f6d1c9354..aced7666f 100644
--- a/examples/foundational/07c-interruptible-deepgram-sagemaker.py
+++ b/examples/foundational/07c-interruptible-deepgram-sagemaker.py
@@ -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: