examples(foundational): support multiple transports
This commit is contained in:
Aleix Conchillo Flaqué
@@ -10,7 +10,6 @@ import json
|
||||
import os
|
||||
import sys
|
||||
|
||||
import aiohttp
|
||||
from deepgram import LiveOptions
|
||||
from dotenv import load_dotenv
|
||||
from livekit import api
|
||||
@@ -104,101 +103,100 @@ async def configure_livekit():
|
||||
|
||||
|
||||
async def main():
|
||||
async with aiohttp.ClientSession() as session:
|
||||
(url, token, room_name) = await configure_livekit()
|
||||
(url, token, room_name) = await configure_livekit()
|
||||
|
||||
transport = LiveKitTransport(
|
||||
url=url,
|
||||
token=token,
|
||||
room_name=room_name,
|
||||
params=LiveKitParams(
|
||||
audio_in_enabled=True,
|
||||
audio_out_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(),
|
||||
),
|
||||
)
|
||||
transport = LiveKitTransport(
|
||||
url=url,
|
||||
token=token,
|
||||
room_name=room_name,
|
||||
params=LiveKitParams(
|
||||
audio_in_enabled=True,
|
||||
audio_out_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(),
|
||||
),
|
||||
)
|
||||
|
||||
stt = DeepgramSTTService(
|
||||
api_key=os.getenv("DEEPGRAM_API_KEY"),
|
||||
live_options=LiveOptions(
|
||||
vad_events=True,
|
||||
),
|
||||
)
|
||||
stt = DeepgramSTTService(
|
||||
api_key=os.getenv("DEEPGRAM_API_KEY"),
|
||||
live_options=LiveOptions(
|
||||
vad_events=True,
|
||||
),
|
||||
)
|
||||
|
||||
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
|
||||
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
|
||||
|
||||
tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
|
||||
)
|
||||
tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
|
||||
)
|
||||
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful LLM in a WebRTC call. "
|
||||
"Your goal is to demonstrate your capabilities in a succinct way. "
|
||||
"Your output will be converted to audio so don't include special characters in your answers. "
|
||||
"Respond to what the user said in a creative and helpful way.",
|
||||
},
|
||||
]
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful LLM in a WebRTC call. "
|
||||
"Your goal is to demonstrate your capabilities in a succinct way. "
|
||||
"Your output will be converted to audio so don't include special characters in your answers. "
|
||||
"Respond to what the user said in a creative and helpful way.",
|
||||
},
|
||||
]
|
||||
|
||||
context = OpenAILLMContext(messages)
|
||||
context_aggregator = llm.create_context_aggregator(context)
|
||||
context = OpenAILLMContext(messages)
|
||||
context_aggregator = llm.create_context_aggregator(context)
|
||||
|
||||
runner = PipelineRunner()
|
||||
runner = PipelineRunner()
|
||||
|
||||
task = PipelineTask(
|
||||
Pipeline(
|
||||
[
|
||||
transport.input(),
|
||||
stt,
|
||||
context_aggregator.user(),
|
||||
llm,
|
||||
tts,
|
||||
transport.output(),
|
||||
context_aggregator.assistant(),
|
||||
],
|
||||
),
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True, enable_metrics=True, enable_usage_metrics=True
|
||||
),
|
||||
)
|
||||
task = PipelineTask(
|
||||
Pipeline(
|
||||
[
|
||||
transport.input(),
|
||||
stt,
|
||||
context_aggregator.user(),
|
||||
llm,
|
||||
tts,
|
||||
transport.output(),
|
||||
context_aggregator.assistant(),
|
||||
],
|
||||
),
|
||||
params=PipelineParams(
|
||||
allow_interruptions=True, enable_metrics=True, enable_usage_metrics=True
|
||||
),
|
||||
)
|
||||
|
||||
# Register an event handler so we can play the audio when the
|
||||
# participant joins.
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant_id):
|
||||
await asyncio.sleep(1)
|
||||
await task.queue_frame(
|
||||
TextFrame(
|
||||
"Hello there! How are you doing today? Would you like to talk about the weather?"
|
||||
)
|
||||
# Register an event handler so we can play the audio when the
|
||||
# participant joins.
|
||||
@transport.event_handler("on_first_participant_joined")
|
||||
async def on_first_participant_joined(transport, participant_id):
|
||||
await asyncio.sleep(1)
|
||||
await task.queue_frame(
|
||||
TextFrame(
|
||||
"Hello there! How are you doing today? Would you like to talk about the weather?"
|
||||
)
|
||||
)
|
||||
|
||||
# Register an event handler to receive data from the participant via text chat
|
||||
# in the LiveKit room. This will be used to as transcription frames and
|
||||
# interrupt the bot and pass it to llm for processing and
|
||||
# then pass back to the participant as audio output.
|
||||
@transport.event_handler("on_data_received")
|
||||
async def on_data_received(transport, data, participant_id):
|
||||
logger.info(f"Received data from participant {participant_id}: {data}")
|
||||
# convert data from bytes to string
|
||||
json_data = json.loads(data)
|
||||
# Register an event handler to receive data from the participant via text chat
|
||||
# in the LiveKit room. This will be used to as transcription frames and
|
||||
# interrupt the bot and pass it to llm for processing and
|
||||
# then pass back to the participant as audio output.
|
||||
@transport.event_handler("on_data_received")
|
||||
async def on_data_received(transport, data, participant_id):
|
||||
logger.info(f"Received data from participant {participant_id}: {data}")
|
||||
# convert data from bytes to string
|
||||
json_data = json.loads(data)
|
||||
|
||||
await task.queue_frames(
|
||||
[
|
||||
BotInterruptionFrame(),
|
||||
UserStartedSpeakingFrame(),
|
||||
TranscriptionFrame(
|
||||
user_id=participant_id,
|
||||
timestamp=json_data["timestamp"],
|
||||
text=json_data["message"],
|
||||
),
|
||||
UserStoppedSpeakingFrame(),
|
||||
],
|
||||
)
|
||||
await task.queue_frames(
|
||||
[
|
||||
BotInterruptionFrame(),
|
||||
UserStartedSpeakingFrame(),
|
||||
TranscriptionFrame(
|
||||
user_id=participant_id,
|
||||
timestamp=json_data["timestamp"],
|
||||
text=json_data["message"],
|
||||
),
|
||||
UserStoppedSpeakingFrame(),
|
||||
],
|
||||
)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
Reference in New Issue
Block a user