Progress on updating foundational examples to avoid using the newly-deprecated LLMMessagesFrame.
Skipping over 07b-interruptible-langchain.py for now, as it requires deeper changes involving `LLMUserResponseAggregator` and `LLMAssistantResponseAggregator`.
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@@ -6,9 +6,13 @@ from typing import Tuple
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import aiohttp
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from dotenv import load_dotenv
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from pipecat.frames.frames import AudioFrame, EndFrame, ImageFrame, LLMMessagesFrame, TextFrame
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from pipecat.frames.frames import AudioFrame, EndFrame, ImageFrame, TextFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.processors.aggregators import SentenceAggregator
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from pipecat.processors.aggregators.openai_llm_context import (
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OpenAILLMContext,
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OpenAILLMContextFrame,
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)
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from pipecat.runner.daily import configure
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from pipecat.services.azure import AzureLLMService, AzureTTSService
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from pipecat.services.elevenlabs import ElevenLabsTTSService
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@@ -79,7 +83,7 @@ async def main():
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sentence_aggregator = SentenceAggregator()
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pipeline = Pipeline([llm, sentence_aggregator, tts1], source_queue, sink_queue)
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await source_queue.put(LLMMessagesFrame(messages))
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await source_queue.put(OpenAILLMContextFrame(OpenAILLMContext(messages)))
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await source_queue.put(EndFrame())
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await pipeline.run_pipeline()
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