Update examples to use the class Settings alias
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@@ -23,9 +23,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
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)
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from pipecat.runner.types import RunnerArguments
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from pipecat.runner.utils import create_transport
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from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
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from pipecat.services.sarvam.stt import SarvamSTTService, SarvamSTTSettings
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from pipecat.services.sarvam.tts import SarvamHttpTTSService, SarvamHttpTTSSettings
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.services.sarvam.stt import SarvamSTTService
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from pipecat.services.sarvam.tts import SarvamHttpTTSService
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from pipecat.transcriptions.language import Language
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.daily.transport import DailyParams
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@@ -59,7 +59,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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async with aiohttp.ClientSession() as session:
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stt = SarvamSTTService(
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api_key=os.getenv("SARVAM_API_KEY"),
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settings=SarvamSTTSettings(
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settings=SarvamSTTService.Settings(
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model="saarika:v2.5",
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),
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)
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@@ -67,14 +67,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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tts = SarvamHttpTTSService(
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api_key=os.getenv("SARVAM_API_KEY"),
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aiohttp_session=session,
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settings=SarvamHttpTTSSettings(
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settings=SarvamHttpTTSService.Settings(
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language=Language.EN_IN,
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),
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)
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llm = OpenAILLMService(
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api_key=os.getenv("OPENAI_API_KEY"),
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settings=OpenAILLMSettings(
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settings=OpenAILLMService.Settings(
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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.",
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),
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)
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