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3 Commits

Author SHA1 Message Date
James Hush
c6d759e043 Save 2025-05-09 12:17:15 +08:00
kompfner
9643296e29 Merge pull request #1779 from pipecat-ai/pk/aws-nova-sonic-missing-params-export
Add missing `Params` export to AWS Nova Sonic module
2025-05-08 16:04:38 -04:00
Paul Kompfner
c83c5b5a34 Add missing Params export to AWS Nova Sonic module 2025-05-08 15:23:25 -04:00
2 changed files with 14 additions and 11 deletions

View File

@@ -34,6 +34,7 @@ from pipecat.processors.aggregators.openai_llm_context import (
from pipecat.processors.frame_processor import FrameProcessor
from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.google.llm import GoogleLLMContext, GoogleLLMService
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.transports.base_transport import TransportParams
from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection
@@ -286,16 +287,18 @@ async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespac
voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
)
conversation_llm = GoogleLLMService(
name="Conversation",
model="gemini-2.0-flash-001",
# model="gemini-exp-1121",
api_key=os.getenv("GOOGLE_API_KEY"),
# we can give the GoogleLLMService a system instruction to use directly
# in the GenerativeModel constructor. Let's do that rather than put
# our system message in the messages list.
system_instruction=conversation_system_message,
)
# conversation_llm = GoogleLLMService(
# name="Conversation",
# model="gemini-2.0-flash-001",
# # model="gemini-exp-1121",
# api_key=os.getenv("GOOGLE_API_KEY"),
# # we can give the GoogleLLMService a system instruction to use directly
# # in the GenerativeModel constructor. Let's do that rather than put
# # our system message in the messages list.
# system_instruction=conversation_system_message,
# )
conversation_llm = OpenAILLMService(name="Conversation", api_key=os.getenv("OPENAI_API_KEY"))
input_transcription_llm = GoogleLLMService(
name="Transcription",

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@@ -1 +1 @@
from .aws import AWSNovaSonicLLMService
from .aws import AWSNovaSonicLLMService, Params