Update foundational examples to use the development runner
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@@ -1,4 +1,3 @@
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import argparse
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import os
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from dotenv import load_dotenv
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@@ -13,6 +12,8 @@ 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.processors.frame_processor import FrameDirection, FrameProcessor
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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.gemini_multimodal_live.gemini import GeminiMultimodalLiveLLMService
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from pipecat.services.google.frames import LLMSearchResponseFrame
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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@@ -95,7 +96,7 @@ class GroundingMetadataProcessor(FrameProcessor):
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await self.push_frame(frame, direction)
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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 Gemini Live Grounding Metadata Test Bot")
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# Create tools using ToolsSchema with custom tools for Gemini
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@@ -155,7 +156,13 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
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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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