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examples: use LLMUserResponseAggregator with VAD

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This commit is contained in:
Aleix Conchillo Flaqué
2024-04-11 08:10:56 -07:00
parent 9a9df35d7b
commit e288aa047b
1 changed files with 5 additions and 7 deletions
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12
examples/foundational/06-listen-and-respond.py
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@@ -10,8 +10,8 @@ from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
from dailyai.services.open_ai_services import OpenAILLMService from dailyai.services.open_ai_services import OpenAILLMService
from dailyai.services.ai_services import FrameLogger from dailyai.services.ai_services import FrameLogger
from dailyai.pipeline.aggregators import ( from dailyai.pipeline.aggregators import (
LLMAssistantContextAggregator, LLMAssistantResponseAggregator,
LLMUserContextAggregator, LLMUserResponseAggregator,
) )
from runner import configure from runner import configure
@@ -55,11 +55,9 @@ async def main(room_url: str, token):
}, },
] ]
tma_in = LLMUserContextAggregator( tma_in = LLMUserResponseAggregator(messages)
messages, transport._my_participant_id) tma_out = LLMAssistantResponseAggregator(messages)
tma_out = LLMAssistantContextAggregator(
messages, transport._my_participant_id
)
pipeline = Pipeline( pipeline = Pipeline(
processors=[ processors=[
fl, fl,