Update foundational examples to use the development runner
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@@ -4,7 +4,7 @@
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import argparse
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import asyncio
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import os
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@@ -14,12 +14,17 @@ from loguru import logger
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from pipecat.adapters.schemas.function_schema import FunctionSchema
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from pipecat.adapters.schemas.tools_schema import ToolsSchema
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.examples.run import get_transport_client_id, maybe_capture_participant_camera
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from pipecat.frames.frames import TTSSpeakFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
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from pipecat.runner.types import RunnerArguments
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from pipecat.runner.utils import (
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create_transport,
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get_transport_client_id,
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maybe_capture_participant_camera,
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)
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from pipecat.services.cartesia.tts import CartesiaTTSService
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from pipecat.services.deepgram.stt import DeepgramSTTService
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from pipecat.services.google.llm import GoogleLLMService
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@@ -83,7 +88,7 @@ transport_params = {
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}
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async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
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async def run_bot(transport: BaseTransport):
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logger.info(f"Starting bot")
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stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
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@@ -205,12 +210,18 @@ indicate you should use the get_image tool are:
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logger.info(f"Client disconnected")
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await task.cancel()
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runner = PipelineRunner(handle_sigint=handle_sigint)
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runner = PipelineRunner(handle_sigint=False)
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await runner.run(task)
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if __name__ == "__main__":
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from pipecat.examples.run import main
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async def bot(runner_args: RunnerArguments):
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"""Main bot entry point compatible with Pipecat Cloud."""
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transport = await create_transport(runner_args, transport_params)
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await run_bot(transport)
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main(run_example, transport_params=transport_params)
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if __name__ == "__main__":
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from pipecat.runner.run import main
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main()
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