[WIP] AWS Nova Sonic service - post-rebase, update examples to play nicely with recent pipecat changes
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@@ -4,6 +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 os
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from datetime import datetime
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@@ -19,6 +20,7 @@ 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.services.aws_nova_sonic import AWSNovaSonicLLMService
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from pipecat.services.llm_service import FunctionCallParams
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from pipecat.transports.base_transport import TransportParams
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from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
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from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection
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@@ -27,13 +29,13 @@ from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection
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load_dotenv(override=True)
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async def fetch_weather_from_api(function_name, tool_call_id, args, llm, context, result_callback):
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temperature = 75 if args["format"] == "fahrenheit" else 24
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await result_callback(
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async def fetch_weather_from_api(params: FunctionCallParams):
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temperature = 75 if params.arguments["format"] == "fahrenheit" else 24
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await params.result_callback(
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{
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"conditions": "nice",
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"temperature": temperature,
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"format": args["format"],
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"format": params.arguments["format"],
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"timestamp": datetime.now().strftime("%Y%m%d_%H%M%S"),
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}
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)
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@@ -60,7 +62,7 @@ weather_function = FunctionSchema(
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tools = ToolsSchema(standard_tools=[weather_function])
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async def run_bot(webrtc_connection: SmallWebRTCConnection):
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async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespace):
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logger.info(f"Starting bot")
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# Initialize the SmallWebRTCTransport with the connection
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@@ -71,8 +73,6 @@ async def run_bot(webrtc_connection: SmallWebRTCConnection):
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audio_in_sample_rate=16000,
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audio_out_enabled=True,
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camera_in_enabled=False,
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vad_enabled=True,
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vad_audio_passthrough=True,
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.8)),
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),
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)
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