examples: use LLMUserResponseAggregator with VAD
This commit is contained in:
@@ -10,8 +10,8 @@ from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
|
||||
from dailyai.services.open_ai_services import OpenAILLMService
|
||||
from dailyai.services.ai_services import FrameLogger
|
||||
from dailyai.pipeline.aggregators import (
|
||||
LLMAssistantContextAggregator,
|
||||
LLMUserContextAggregator,
|
||||
LLMAssistantResponseAggregator,
|
||||
LLMUserResponseAggregator,
|
||||
)
|
||||
from runner import configure
|
||||
|
||||
@@ -55,11 +55,9 @@ async def main(room_url: str, token):
|
||||
},
|
||||
]
|
||||
|
||||
tma_in = LLMUserContextAggregator(
|
||||
messages, transport._my_participant_id)
|
||||
tma_out = LLMAssistantContextAggregator(
|
||||
messages, transport._my_participant_id
|
||||
)
|
||||
tma_in = LLMUserResponseAggregator(messages)
|
||||
tma_out = LLMAssistantResponseAggregator(messages)
|
||||
|
||||
pipeline = Pipeline(
|
||||
processors=[
|
||||
fl,
|
||||
|
||||
Reference in New Issue
Block a user