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Update examples to use the class Settings alias

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This commit is contained in:
Mark Backman
2026-03-07 09:15:24 -05:00
parent 26631a9c31
commit cd28c82de3
264 changed files with 1172 additions and 1155 deletions
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12
examples/foundational/15-switch-voices.py
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@@ -26,10 +26,10 @@ from pipecat.processors.aggregators.llm_response_universal import (
from pipecat.processors.filters.function_filter import FunctionFilter
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.llm_service import FunctionCallParams
from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams
from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -43,21 +43,21 @@ class SwitchVoices(ParallelPipeline):
news_lady = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
settings=CartesiaTTSSettings(
settings=CartesiaTTSService.Settings(
voice="bf991597-6c13-47e4-8411-91ec2de5c466", # Newslady
),
)
british_lady = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
settings=CartesiaTTSSettings(
settings=CartesiaTTSService.Settings(
voice="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
),
)
barbershop_man = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
settings=CartesiaTTSSettings(
settings=CartesiaTTSService.Settings(
voice="a0e99841-438c-4a64-b679-ae501e7d6091", # Barbershop Man
),
)
@@ -120,7 +120,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm = OpenAILLMService(
api_key=os.getenv("OPENAI_API_KEY"),
settings=OpenAILLMSettings(
settings=OpenAILLMService.Settings(
system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities. Respond to what the user said in a creative and helpful way. Your output should not include non-alphanumeric characters. You can do the following voices: 'News Lady', 'British Lady' and 'Barbershop Man'.",
),
)