examples: update with new user and bot turn start strategies

examples/foundational/20d-persistent-context-gemini.py

@@ -14,7 +14,6 @@ from loguru import logger
 
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
-from pipecat.audio.turn.smart_turn.base_smart_turn import SmartTurnParams
 from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.audio.vad.vad_analyzer import VADParams
@@ -36,6 +35,8 @@ from pipecat.services.google.llm import GoogleLLMService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
+from pipecat.turns.bot.turn_analyzer_bot_turn_start_strategy import TurnAnalyzerBotTurnStartStrategy
+from pipecat.turns.turn_start_strategies import TurnStartStrategies
 
 load_dotenv(override=True)
 
@@ -121,7 +122,7 @@ messages = [
     {
         "role": "system",
         "content": """You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your
-capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that 
+capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that
 can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative
 and helpful way.
 
@@ -233,14 +234,12 @@ transport_params = {
         audio_out_enabled=True,
         video_in_enabled=True,
         vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
-        turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
     ),
     "webrtc": lambda: TransportParams(
         audio_in_enabled=True,
         audio_out_enabled=True,
         video_in_enabled=True,
         vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
-        turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
     ),
 }
 
@@ -285,6 +284,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         params=PipelineParams(
             enable_metrics=True,
             enable_usage_metrics=True,
+            turn_start_strategies=TurnStartStrategies(
+                bot=[TurnAnalyzerBotTurnStartStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
+            ),
         ),
         idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )