Merge remote-tracking branch 'upstream/main'
This commit is contained in:
@@ -89,7 +89,6 @@ async def main():
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)
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tts = ElevenLabsTTSService(
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aiohttp_session=session,
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api_key=os.getenv("ELEVENLABS_API_KEY"),
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voice_id=os.getenv("ELEVENLABS_VOICE_ID"),
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)
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@@ -85,7 +85,6 @@ async def main():
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model="gpt-4o")
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tts = ElevenLabsTTSService(
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aiohttp_session=session,
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api_key=os.getenv("ELEVENLABS_API_KEY"),
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voice_id=os.getenv("ELEVENLABS_VOICE_ID"))
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@@ -79,7 +79,6 @@ async def main():
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)
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tts = ElevenLabsTTSService(
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aiohttp_session=session,
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api_key=os.getenv("ELEVENLABS_API_KEY"),
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voice_id=os.getenv("ELEVENLABS_VOICE_ID"),
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)
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@@ -18,7 +18,6 @@ from pipecat.processors.aggregators.llm_response import (
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LLMAssistantResponseAggregator, LLMUserResponseAggregator)
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from pipecat.processors.frameworks.langchain import LangchainProcessor
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from pipecat.services.cartesia import CartesiaTTSService
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from pipecat.services.elevenlabs import ElevenLabsTTSService
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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from pipecat.vad.silero import SileroVADAnalyzer
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@@ -4,8 +4,8 @@
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import aiohttp
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import asyncio
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import aiohttp
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import os
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import sys
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@@ -15,12 +15,11 @@ 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.llm_response import (
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LLMAssistantResponseAggregator, LLMUserResponseAggregator)
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from pipecat.services.cartesia import CartesiaTTSService
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from pipecat.services.elevenlabs import ElevenLabsTTSService
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from pipecat.services.openai import OpenAILLMService
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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from pipecat.vad.silero import SileroVADAnalyzer
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from runner import configure
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from loguru import logger
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@@ -41,7 +40,6 @@ async def main():
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token,
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"Respond bot",
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DailyParams(
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audio_out_sample_rate=44100,
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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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@@ -49,12 +47,9 @@ async def main():
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)
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)
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tts = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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voice_id="a0e99841-438c-4a64-b679-ae501e7d6091", # Barbershop Man
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params=CartesiaTTSService.InputParams(
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sample_rate=44100,
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),
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tts = ElevenLabsTTSService(
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api_key=os.getenv("ELEVENLABS_API_KEY", ""),
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voice_id=os.getenv("ELEVENLABS_VOICE_ID", ""),
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)
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llm = OpenAILLMService(
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@@ -76,11 +71,16 @@ async def main():
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tma_in, # User responses
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llm, # LLM
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tts, # TTS
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tma_out, # Goes before the transport because cartesia has word-level timestamps!
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transport.output(), # Transport bot output
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tma_out # Assistant spoken responses
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])
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task = PipelineTask(pipeline, PipelineParams(allow_interruptions=True, enable_metrics=True))
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task = PipelineTask(pipeline, PipelineParams(
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allow_interruptions=True,
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enable_metrics=True,
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enable_usage_metrics=True,
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report_only_initial_ttfb=True,
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))
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@transport.event_handler("on_first_participant_joined")
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async def on_first_participant_joined(transport, participant):
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@@ -104,7 +104,6 @@ async def main():
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model="gpt-4o")
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tts = ElevenLabsTTSService(
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aiohttp_session=session,
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api_key=os.getenv("ELEVENLABS_API_KEY"),
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voice_id="ErXwobaYiN019PkySvjV",
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)
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