introduce Ruff formatting
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@@ -26,6 +26,7 @@ from runner import configure
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from loguru import logger
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from dotenv import load_dotenv
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load_dotenv(override=True)
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logger.remove(0)
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@@ -52,8 +53,8 @@ async def main():
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audio_out_enabled=True,
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transcription_enabled=True,
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vad_enabled=True,
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vad_analyzer=SileroVADAnalyzer()
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)
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vad_analyzer=SileroVADAnalyzer(),
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),
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)
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tts = CartesiaTTSService(
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@@ -61,15 +62,10 @@ async def main():
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voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
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)
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llm = OpenAILLMService(
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api_key=os.getenv("OPENAI_API_KEY"),
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model="gpt-4o")
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llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
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# Register a function_name of None to get all functions
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# sent to the same callback with an additional function_name parameter.
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llm.register_function(
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None,
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fetch_weather_from_api,
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start_callback=start_fetch_weather)
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llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
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fl_in = FrameLogger("Inner")
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fl_out = FrameLogger("Outer")
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@@ -89,17 +85,15 @@ async def main():
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},
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"format": {
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"type": "string",
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"enum": [
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"celsius",
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"fahrenheit"],
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"enum": ["celsius", "fahrenheit"],
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"description": "The temperature unit to use. Infer this from the users location.",
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},
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},
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"required": [
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"location",
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"format"],
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"required": ["location", "format"],
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},
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})]
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},
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)
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]
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messages = [
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{
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"role": "system",
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@@ -110,16 +104,18 @@ async def main():
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context = OpenAILLMContext(messages, tools)
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context_aggregator = llm.create_context_aggregator(context)
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pipeline = Pipeline([
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fl_in,
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transport.input(),
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context_aggregator.user(),
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llm,
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fl_out,
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tts,
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transport.output(),
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context_aggregator.assistant(),
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])
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pipeline = Pipeline(
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[
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fl_in,
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transport.input(),
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context_aggregator.user(),
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llm,
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fl_out,
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tts,
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transport.output(),
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context_aggregator.assistant(),
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]
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)
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task = PipelineTask(pipeline)
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@@ -133,5 +129,6 @@ async def main():
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await runner.run(task)
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if __name__ == "__main__":
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asyncio.run(main())
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