diff --git a/examples/foundational/12a-describe-video-gemini-flash.py b/examples/foundational/12a-describe-video-gemini-flash.py
index 33240dd13..2cf8db7df 100644
--- a/examples/foundational/12a-describe-video-gemini-flash.py
+++ b/examples/foundational/12a-describe-video-gemini-flash.py
@@ -19,7 +19,7 @@ from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.services.elevenlabs import ElevenLabsTTSService
 from pipecat.services.google import GoogleLLMService
 from pipecat.transports.services.daily import DailyParams, DailyTransport
-from pipecat.vad.silero import SileroVAD
+from pipecat.vad.silero import SileroVADAnalyzer
 
 from runner import configure
 
@@ -56,12 +56,12 @@ async def main(room_url: str, token):
             DailyParams(
                 audio_in_enabled=True,  # This is so Silero VAD can get audio data
                 audio_out_enabled=True,
-                transcription_enabled=True
+                transcription_enabled=True,
+                vad_enabled=True,
+                vad_analyzer=SileroVADAnalyzer()
             )
         )
 
-        vad = SileroVAD()
-
         tts = ElevenLabsTTSService(
             aiohttp_session=session,
             api_key=os.getenv("ELEVENLABS_API_KEY"),
@@ -89,10 +89,17 @@ async def main(room_url: str, token):
             transport.capture_participant_transcription(participant["id"])
             image_requester.set_participant_id(participant["id"])
 
-        pipeline = Pipeline([transport.input(), vad, user_response, image_requester,
-                             vision_aggregator, google, tts, transport.output()])
+        pipeline = Pipeline([
+            transport.input(),
+            user_response,
+            image_requester,
+            vision_aggregator,
+            google,
+            tts,
+            transport.output()
+        ])
 
-        task = PipelineTask(pipeline)
+        task = PipelineTask(pipeline, allow_interruptions=True)
 
         runner = PipelineRunner()
 
diff --git a/examples/foundational/12b-describe-video-gpt-4o.py b/examples/foundational/12b-describe-video-gpt-4o.py
index dd386c8b4..669f251a9 100644
--- a/examples/foundational/12b-describe-video-gpt-4o.py
+++ b/examples/foundational/12b-describe-video-gpt-4o.py
@@ -19,7 +19,7 @@ from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.services.elevenlabs import ElevenLabsTTSService
 from pipecat.services.openai import OpenAILLMService
 from pipecat.transports.services.daily import DailyParams, DailyTransport
-from pipecat.vad.silero import SileroVAD
+from pipecat.vad.silero import SileroVADAnalyzer
 
 from runner import configure
 
@@ -56,12 +56,12 @@ async def main(room_url: str, token):
             DailyParams(
                 audio_in_enabled=True,  # This is so Silero VAD can get audio data
                 audio_out_enabled=True,
-                transcription_enabled=True
+                transcription_enabled=True,
+                vad_enabled=True,
+                vad_analyzer=SileroVADAnalyzer()
             )
         )
 
-        vad = SileroVAD()
-
         tts = ElevenLabsTTSService(
             aiohttp_session=session,
             api_key=os.getenv("ELEVENLABS_API_KEY"),
@@ -74,7 +74,7 @@ async def main(room_url: str, token):
 
         vision_aggregator = VisionImageFrameAggregator()
 
-        google = OpenAILLMService(
+        gpt4o = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
             model="gpt-4o"
         )
@@ -92,10 +92,17 @@ async def main(room_url: str, token):
             transport.capture_participant_transcription(participant["id"])
             image_requester.set_participant_id(participant["id"])
 
-        pipeline = Pipeline([transport.input(), vad, user_response, image_requester,
-                             vision_aggregator, google, tts, transport.output()])
+        pipeline = Pipeline([
+            transport.input(),
+            user_response,
+            image_requester,
+            vision_aggregator,
+            gpt4o,
+            tts,
+            transport.output()
+        ])
 
-        task = PipelineTask(pipeline)
+        task = PipelineTask(pipeline, allow_interruptions=True)
 
         runner = PipelineRunner()