examples: pipelines readability and add LLM assistants after transport
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@@ -168,11 +168,17 @@ async def main(room_url: str, token):
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ura = LLMUserResponseAggregator(messages)
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pipeline = Pipeline([transport.input(), ura, llm,
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ParallelPipeline(
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[sa, ir, va, moondream],
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[tf, imgf]),
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tts, ta, transport.output()])
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pipeline = Pipeline([
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transport.input(),
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ura,
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llm,
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ParallelPipeline(
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[sa, ir, va, moondream],
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[tf, imgf]),
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tts,
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ta,
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transport.output()
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])
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task = PipelineTask(pipeline)
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await task.queue_frame(quiet_frame)
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