examples: use SileroVADAnalyzer instead of SileroVAD
This commit is contained in:
@@ -21,7 +21,7 @@ from pipecat.processors.logger import FrameLogger
|
||||
from pipecat.services.elevenlabs import ElevenLabsTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
from pipecat.vad.silero import SileroVAD
|
||||
from pipecat.vad.silero import SileroVADAnalyzer
|
||||
|
||||
from runner import configure
|
||||
|
||||
@@ -41,14 +41,13 @@ async def main(room_url: str, token):
|
||||
token,
|
||||
"Respond bot",
|
||||
DailyParams(
|
||||
audio_in_enabled=True, # This is so Silero VAD can get audio data
|
||||
audio_out_enabled=True,
|
||||
transcription_enabled=True
|
||||
transcription_enabled=True,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer()
|
||||
)
|
||||
)
|
||||
|
||||
vad = SileroVAD()
|
||||
|
||||
tts = ElevenLabsTTSService(
|
||||
aiohttp_session=session,
|
||||
api_key=os.getenv("ELEVENLABS_API_KEY"),
|
||||
@@ -71,7 +70,7 @@ async def main(room_url: str, token):
|
||||
tma_in = LLMUserResponseAggregator(messages)
|
||||
tma_out = LLMAssistantResponseAggregator(messages)
|
||||
|
||||
pipeline = Pipeline([fl_in, transport.input(), vad, tma_in, llm,
|
||||
pipeline = Pipeline([fl_in, transport.input(), tma_in, llm,
|
||||
fl_out, tts, tma_out, transport.output()])
|
||||
|
||||
task = PipelineTask(pipeline)
|
||||
|
||||
@@ -38,7 +38,6 @@ async def main(room_url: str, token):
|
||||
token,
|
||||
"Respond bot",
|
||||
DailyParams(
|
||||
audio_in_enabled=True,
|
||||
audio_out_enabled=True,
|
||||
transcription_enabled=True,
|
||||
vad_enabled=True,
|
||||
|
||||
@@ -19,7 +19,7 @@ from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.services.elevenlabs import ElevenLabsTTSService
|
||||
from pipecat.services.moondream import MoondreamService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
from pipecat.vad.silero import SileroVAD
|
||||
from pipecat.vad.silero import SileroVADAnalyzer
|
||||
|
||||
from runner import configure
|
||||
|
||||
@@ -54,14 +54,13 @@ async def main(room_url: str, token):
|
||||
token,
|
||||
"Describe participant video",
|
||||
DailyParams(
|
||||
audio_in_enabled=True, # This is so Silero VAD can get audio data
|
||||
audio_out_enabled=True,
|
||||
transcription_enabled=True
|
||||
transcription_enabled=True,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer()
|
||||
)
|
||||
)
|
||||
|
||||
vad = SileroVAD()
|
||||
|
||||
tts = ElevenLabsTTSService(
|
||||
aiohttp_session=session,
|
||||
api_key=os.getenv("ELEVENLABS_API_KEY"),
|
||||
@@ -90,7 +89,7 @@ async def main(room_url: str, token):
|
||||
transport.capture_participant_transcription(participant["id"])
|
||||
image_requester.set_participant_id(participant["id"])
|
||||
|
||||
pipeline = Pipeline([transport.input(), vad, user_response, image_requester,
|
||||
pipeline = Pipeline([transport.input(), user_response, image_requester,
|
||||
vision_aggregator, moondream, tts, transport.output()])
|
||||
|
||||
task = PipelineTask(pipeline)
|
||||
|
||||
@@ -29,7 +29,7 @@ from pipecat.services.elevenlabs import ElevenLabsTTSService
|
||||
from pipecat.services.moondream import MoondreamService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||
from pipecat.vad.silero import SileroVAD
|
||||
from pipecat.vad.silero import SileroVADAnalyzer
|
||||
|
||||
from runner import configure
|
||||
|
||||
@@ -127,17 +127,16 @@ async def main(room_url: str, token):
|
||||
token,
|
||||
"Chatbot",
|
||||
DailyParams(
|
||||
audio_in_enabled=True,
|
||||
audio_out_enabled=True,
|
||||
camera_out_enabled=True,
|
||||
camera_out_width=1024,
|
||||
camera_out_height=576,
|
||||
transcription_enabled=True
|
||||
transcription_enabled=True,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer()
|
||||
)
|
||||
)
|
||||
|
||||
vad = SileroVAD()
|
||||
|
||||
tts = ElevenLabsTTSService(
|
||||
aiohttp_session=session,
|
||||
api_key=os.getenv("ELEVENLABS_API_KEY"),
|
||||
@@ -169,7 +168,7 @@ async def main(room_url: str, token):
|
||||
|
||||
ura = LLMUserResponseAggregator(messages)
|
||||
|
||||
pipeline = Pipeline([transport.input(), vad, ura, llm,
|
||||
pipeline = Pipeline([transport.input(), ura, llm,
|
||||
ParallelPipeline(
|
||||
[sa, ir, va, moondream],
|
||||
[tf, imgf]),
|
||||
|
||||
@@ -21,7 +21,7 @@ from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.services.elevenlabs import ElevenLabsTTSService
|
||||
from pipecat.services.openai import OpenAILLMService
|
||||
from pipecat.transports.services.daily import DailyParams, DailyTranscriptionSettings, DailyTransport
|
||||
from pipecat.vad.silero import SileroVAD
|
||||
from pipecat.vad.silero import SileroVADAnalyzer
|
||||
|
||||
from runner import configure
|
||||
|
||||
@@ -82,11 +82,12 @@ async def main(room_url: str, token):
|
||||
token,
|
||||
"Chatbot",
|
||||
DailyParams(
|
||||
audio_in_enabled=True,
|
||||
audio_out_enabled=True,
|
||||
camera_out_enabled=True,
|
||||
camera_out_width=1024,
|
||||
camera_out_height=576,
|
||||
vad_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(),
|
||||
transcription_enabled=True,
|
||||
#
|
||||
# Spanish
|
||||
@@ -99,8 +100,6 @@ async def main(room_url: str, token):
|
||||
)
|
||||
)
|
||||
|
||||
vad = SileroVAD()
|
||||
|
||||
tts = ElevenLabsTTSService(
|
||||
aiohttp_session=session,
|
||||
api_key=os.getenv("ELEVENLABS_API_KEY"),
|
||||
@@ -139,10 +138,10 @@ async def main(room_url: str, token):
|
||||
|
||||
ta = TalkingAnimation()
|
||||
|
||||
pipeline = Pipeline([transport.input(), vad, user_response,
|
||||
pipeline = Pipeline([transport.input(), user_response,
|
||||
llm, tts, ta, transport.output()])
|
||||
|
||||
task = PipelineTask(pipeline)
|
||||
task = PipelineTask(pipeline, allow_interruptions=True)
|
||||
await task.queue_frame(quiet_frame)
|
||||
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
|
||||
Reference in New Issue
Block a user