add nvidia riva - fastpitch
This commit is contained in:
94
examples/foundational/07r-interruptible-riva.py
Normal file
94
examples/foundational/07r-interruptible-riva.py
Normal file
@@ -0,0 +1,94 @@
|
|||||||
|
#
|
||||||
|
# Copyright (c) 2024, Daily
|
||||||
|
#
|
||||||
|
# SPDX-License-Identifier: BSD 2-Clause License
|
||||||
|
#
|
||||||
|
|
||||||
|
import asyncio
|
||||||
|
import os
|
||||||
|
import sys
|
||||||
|
|
||||||
|
import aiohttp
|
||||||
|
from dotenv import load_dotenv
|
||||||
|
from loguru import logger
|
||||||
|
from runner import configure
|
||||||
|
|
||||||
|
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||||
|
from pipecat.frames.frames import LLMMessagesFrame
|
||||||
|
from pipecat.pipeline.pipeline import Pipeline
|
||||||
|
from pipecat.pipeline.runner import PipelineRunner
|
||||||
|
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||||
|
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||||
|
|
||||||
|
from pipecat.services.deepgram import DeepgramSTTService
|
||||||
|
from pipecat.services.riva import FastpitchTTSService, ParakeetSTTService
|
||||||
|
|
||||||
|
from pipecat.services.openai import OpenAILLMService
|
||||||
|
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||||||
|
|
||||||
|
load_dotenv(override=True)
|
||||||
|
|
||||||
|
logger.remove(0)
|
||||||
|
logger.add(sys.stderr, level="DEBUG")
|
||||||
|
|
||||||
|
|
||||||
|
async def main():
|
||||||
|
async with aiohttp.ClientSession() as session:
|
||||||
|
(room_url, _) = await configure(session)
|
||||||
|
|
||||||
|
transport = DailyTransport(
|
||||||
|
room_url,
|
||||||
|
None,
|
||||||
|
"Respond bot",
|
||||||
|
DailyParams(
|
||||||
|
audio_out_enabled=True,
|
||||||
|
vad_enabled=True,
|
||||||
|
vad_analyzer=SileroVADAnalyzer(),
|
||||||
|
vad_audio_passthrough=True,
|
||||||
|
),
|
||||||
|
)
|
||||||
|
|
||||||
|
# stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
|
||||||
|
stt = ParakeetSTTService(api_key=os.getenv("NVIDIA_API_KEY"))
|
||||||
|
|
||||||
|
tts = FastpitchTTSService(api_key=os.getenv("NVIDIA_API_KEY"))
|
||||||
|
|
||||||
|
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
|
||||||
|
|
||||||
|
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)
|
||||||
|
|
||||||
|
pipeline = Pipeline(
|
||||||
|
[
|
||||||
|
transport.input(), # Transport user input
|
||||||
|
stt, # STT
|
||||||
|
context_aggregator.user(), # User responses
|
||||||
|
llm, # LLM
|
||||||
|
tts, # TTS
|
||||||
|
transport.output(), # Transport bot output
|
||||||
|
context_aggregator.assistant(), # Assistant spoken responses
|
||||||
|
]
|
||||||
|
)
|
||||||
|
|
||||||
|
task = PipelineTask(pipeline, PipelineParams(allow_interruptions=True))
|
||||||
|
|
||||||
|
@transport.event_handler("on_first_participant_joined")
|
||||||
|
async def on_first_participant_joined(transport, participant):
|
||||||
|
# Kick off the conversation.
|
||||||
|
messages.append({"role": "system", "content": "Please introduce yourself to the user."})
|
||||||
|
await task.queue_frames([LLMMessagesFrame(messages)])
|
||||||
|
|
||||||
|
runner = PipelineRunner()
|
||||||
|
|
||||||
|
await runner.run(task)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
asyncio.run(main())
|
||||||
@@ -5,7 +5,11 @@
|
|||||||
#
|
#
|
||||||
|
|
||||||
import asyncio
|
import asyncio
|
||||||
|
<<<<<<< HEAD
|
||||||
from typing import AsyncGenerator, Optional
|
from typing import AsyncGenerator, Optional
|
||||||
|
=======
|
||||||
|
from typing import AsyncGenerator, List, Optional, Union, Iterator
|
||||||
|
>>>>>>> 07e3942e (add nvidia riva - fastpitch)
|
||||||
|
|
||||||
from loguru import logger
|
from loguru import logger
|
||||||
from pydantic.main import BaseModel
|
from pydantic.main import BaseModel
|
||||||
@@ -13,6 +17,10 @@ from pydantic.main import BaseModel
|
|||||||
from pipecat.frames.frames import (
|
from pipecat.frames.frames import (
|
||||||
CancelFrame,
|
CancelFrame,
|
||||||
EndFrame,
|
EndFrame,
|
||||||
|
<<<<<<< HEAD
|
||||||
|
=======
|
||||||
|
ErrorFrame,
|
||||||
|
>>>>>>> 07e3942e (add nvidia riva - fastpitch)
|
||||||
Frame,
|
Frame,
|
||||||
InterimTranscriptionFrame,
|
InterimTranscriptionFrame,
|
||||||
StartFrame,
|
StartFrame,
|
||||||
@@ -38,7 +46,11 @@ except ModuleNotFoundError as e:
|
|||||||
|
|
||||||
class FastpitchTTSService(TTSService):
|
class FastpitchTTSService(TTSService):
|
||||||
class InputParams(BaseModel):
|
class InputParams(BaseModel):
|
||||||
|
<<<<<<< HEAD
|
||||||
language: Optional[Language] = Language.EN_US
|
language: Optional[Language] = Language.EN_US
|
||||||
|
=======
|
||||||
|
language: Optional[str] = "en-US"
|
||||||
|
>>>>>>> 07e3942e (add nvidia riva - fastpitch)
|
||||||
|
|
||||||
def __init__(
|
def __init__(
|
||||||
self,
|
self,
|
||||||
|
|||||||
Reference in New Issue
Block a user