Update foundational examples to use the development runner

examples/foundational/34-audio-recording.py

@@ -46,7 +46,6 @@ Note:
     handling merged and separate audio tracks respectively.
 """
 
-import argparse
 import datetime
 import io
 import os
@@ -62,6 +61,8 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
 from pipecat.processors.audio.audio_buffer_processor import AudioBufferProcessor
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
@@ -108,7 +109,7 @@ transport_params = {
 }
 
 
-async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
+async def run_bot(transport: BaseTransport):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"), audio_passthrough=True)
@@ -189,11 +190,17 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
         bot_filename = f"recordings/bot_{timestamp}.wav"
         await save_audio_file(bot_audio, bot_filename, sample_rate, 1)
 
-    runner = PipelineRunner(handle_sigint=handle_sigint)
+    runner = PipelineRunner(handle_sigint=False)
     await runner.run(task)
 
 
-if __name__ == "__main__":
-    from pipecat.examples.run import main
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport)
 
-    main(run_example, transport_params=transport_params)
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()