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examples(simple-chatbot): use RTVIObserver for server-client messages

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This commit is contained in:
Aleix Conchillo Flaqué
2025-01-15 09:50:04 -08:00
parent dd9f9179cc
commit e50c76d075
2 changed files with 4 additions and 54 deletions
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30
examples/simple-chatbot/server/bot-gemini.py
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@@ -41,17 +41,8 @@ from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
from pipecat.processors.frameworks.rtvi import (
RTVIBotTranscriptionProcessor,
RTVIConfig,
RTVIMetricsProcessor,
RTVIProcessor,
RTVISpeakingProcessor,
RTVIUserTranscriptionProcessor,
)
from pipecat.services.elevenlabs import ElevenLabsTTSService
from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIProcessor
from pipecat.services.gemini_multimodal_live.gemini import GeminiMultimodalLiveLLMService
from pipecat.services.openai import OpenAILLMService
from pipecat.transports.services.daily import DailyParams, DailyTransport
load_dotenv(override=True)
@@ -168,20 +159,6 @@ async def main():
#
# RTVI events for Pipecat client UI
#
# This will send `user-*-speaking` and `bot-*-speaking` messages.
rtvi_speaking = RTVISpeakingProcessor()
# This will emit UserTranscript events.
rtvi_user_transcription = RTVIUserTranscriptionProcessor()
# This will emit BotTranscript events.
rtvi_bot_transcription = RTVIBotTranscriptionProcessor()
# This will send `metrics` messages.
rtvi_metrics = RTVIMetricsProcessor()
# Handles RTVI messages from the client
rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
pipeline = Pipeline(
@@ -190,11 +167,7 @@ async def main():
rtvi,
context_aggregator.user(),
llm,
rtvi_speaking,
rtvi_user_transcription,
rtvi_bot_transcription,
ta,
rtvi_metrics,
transport.output(),
context_aggregator.assistant(),
]
@@ -206,6 +179,7 @@ async def main():
allow_interruptions=True,
enable_metrics=True,
enable_usage_metrics=True,
observers=[rtvi.observer()],
),
)
await task.queue_frame(quiet_frame)

28
examples/simple-chatbot/server/bot-openai.py
View File

@@ -41,14 +41,7 @@ from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
from pipecat.processors.frameworks.rtvi import (
RTVIBotTranscriptionProcessor,
RTVIConfig,
RTVIMetricsProcessor,
RTVIProcessor,
RTVISpeakingProcessor,
RTVIUserTranscriptionProcessor,
)
from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIProcessor
from pipecat.services.elevenlabs import ElevenLabsTTSService
from pipecat.services.openai import OpenAILLMService
from pipecat.transports.services.daily import DailyParams, DailyTransport
@@ -189,34 +182,16 @@ async def main():
#
# RTVI events for Pipecat client UI
#
# This will send `user-*-speaking` and `bot-*-speaking` messages.
rtvi_speaking = RTVISpeakingProcessor()
# This will emit UserTranscript events.
rtvi_user_transcription = RTVIUserTranscriptionProcessor()
# This will emit BotTranscript events.
rtvi_bot_transcription = RTVIBotTranscriptionProcessor()
# This will send `metrics` messages.
rtvi_metrics = RTVIMetricsProcessor()
# Handles RTVI messages from the client
rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
pipeline = Pipeline(
[
transport.input(),
rtvi,
rtvi_speaking,
rtvi_user_transcription,
context_aggregator.user(),
llm,
rtvi_bot_transcription,
tts,
ta,
rtvi_metrics,
transport.output(),
context_aggregator.assistant(),
]
@@ -228,6 +203,7 @@ async def main():
allow_interruptions=True,
enable_metrics=True,
enable_usage_metrics=True,
observers=[rtvi.observer()],
),
)
await task.queue_frame(quiet_frame)