Update examples

examples/foundational/16-gpu-container-local-bot.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.deepgram.tts import DeepgramTTSService
-from pipecat.services.openai.llm import OpenAILLMService
+from pipecat.services.deepgram.tts import DeepgramTTSService, DeepgramTTSSettings
+from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import (
     DailyOutputTransportMessageFrame,
@@ -60,7 +60,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = DeepgramTTSService(
         api_key=os.getenv("DEEPGRAM_API_KEY"),
-        voice="aura-asteria-en",
+        settings=DeepgramTTSSettings(
+            voice="aura-asteria-en",
+        ),
         base_url="http://0.0.0.0:8080",
     )
 
@@ -68,7 +70,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         # To use OpenAI
         # api_key=os.getenv("OPENAI_API_KEY"),
         # Or, to use a local vLLM (or similar) api server
-        model="meta-llama/Meta-Llama-3-8B-Instruct",
+        settings=OpenAILLMSettings(
+            model="meta-llama/Meta-Llama-3-8B-Instruct",
+        ),
         base_url="http://0.0.0.0:8000/v1",
         system_instruction="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 can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
     )