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Merge pull request #814 from pipecat-ai/aleix/simli-updates

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minor simli updates
This commit is contained in:
Aleix Conchillo Flaqué
2024-12-10 18:48:29 -08:00
committed by GitHub
parent 4f9a4ebce2 5b478a5c7a
commit 62ec2f5d1e
4 changed files with 95 additions and 93 deletions
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3
CHANGELOG.md
View File

@@ -9,6 +9,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
### Added
- Added `SimliVideoService`. This is an integration for Simli AI avatars.
(see https://www.simli.com)
- Added NVIDIA Riva's `FastPitchTTSService` and `ParakeetSTTService`.
(see https://www.nvidia.com/en-us/ai-data-science/products/riva/)

4
dot-env.template
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@@ -58,5 +58,5 @@ TAVUS_PERSONA_ID=...
SIMLI_API_KEY=...
SIMLI_FACE_ID=...
#Krisp
KRISP_MODEL_PATH=...
# Krisp
KRISP_MODEL_PATH=...

55
examples/foundational/25-simli-layer.py → examples/foundational/26-simli-layer.py
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@@ -1,3 +1,9 @@
#
# Copyright (c) 2024, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
import asyncio
import aiohttp
import os
@@ -10,13 +16,10 @@ from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.frames.frames import LLMMessagesFrame
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
from pipecat.services.ai_services import AIService
from pipecat.services.cartesia import CartesiaTTSService
from pipecat.services.elevenlabs import ElevenLabsTTSService
from pipecat.services.openai import OpenAILLMService
from pipecat.transports.services.daily import DailyParams, DailyTransport
from pipecat.transports.services.helpers.daily_rest import DailyRESTHelper, DailyRoomParams
from runner import configure
from loguru import logger
from dotenv import load_dotenv
@@ -32,23 +35,11 @@ logger.add(sys.stderr, level="DEBUG")
async def main():
async with aiohttp.ClientSession() as session:
_, token = await configure(session)
print("Creating room")
aiohttp_session = aiohttp.ClientSession()
daily_helper = DailyRESTHelper(
daily_api_key=os.getenv("DAILY_API_KEY", ""),
daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
aiohttp_session=aiohttp_session,
)
room = await daily_helper.create_room(DailyRoomParams())
expiry_time: float = 60 * 60
token = await daily_helper.get_token(room.url, expiry_time)
print("Room created ", room.url)
room, token = await configure(session)
transport = DailyTransport(
room.url,
room,
token,
"Chatbot",
"Simli",
DailyParams(
audio_out_enabled=True,
camera_out_enabled=True,
@@ -57,45 +48,27 @@ async def main():
vad_enabled=True,
vad_analyzer=SileroVADAnalyzer(),
transcription_enabled=True,
#
# Spanish
#
# transcription_settings=DailyTranscriptionSettings(
# language="es",
# tier="nova",
# model="2-general"
# )
),
)
# tts = ElevenLabsTTSService(
# api_key=os.getenv("ELEVENLABS_API_KEY"),
# voice_id="pNInz6obpgDQGcFmaJgB",
# )
tts = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
voice_id="a167e0f3-df7e-4d52-a9c3-f949145efdab",
)
simli_ai = SimliVideoService(
SimliConfig(os.getenv("SIMLI_API_KEY"), os.getenv("SIMLI_FACE_ID"))
)
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o-mini")
messages = [
{
"role": "system",
#
# English
#
"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.",
#
# Spanish
#
# "content": "Eres Chatbot, un amigable y útil robot. Tu objetivo es demostrar tus capacidades de una manera breve. Tus respuestas se convertiran a audio así que nunca no debes incluir caracteres especiales. Contesta a lo que el usuario pregunte de una manera creativa, útil y breve. Empieza por presentarte a ti mismo.",
},
]
simli_ai = SimliVideoService(
SimliConfig(os.getenv("SIMLI_API_KEY"), os.getenv("SIMLI_FACE_ID"))
)
context = OpenAILLMContext(messages)
context_aggregator = llm.create_context_aggregator(context)

126
src/pipecat/services/simli.py
View File

@@ -1,3 +1,9 @@
#
# Copyright (c) 2024, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
import asyncio
from pipecat.frames.frames import (
@@ -11,19 +17,31 @@ from pipecat.frames.frames import (
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor, StartFrame
import numpy as np
from av import AudioFrame
from av.audio.resampler import AudioResampler
from simli import SimliClient, SimliConfig
from loguru import logger
try:
from av.audio.frame import AudioFrame
from av.audio.resampler import AudioResampler
from simli import SimliClient, SimliConfig
except ModuleNotFoundError as e:
logger.error(f"Exception: {e}")
logger.error("In order to use Simli, you need to `pip install pipecat-ai[simli]`.")
raise Exception(f"Missing module: {e}")
class SimliVideoService(FrameProcessor):
def __init__(self, simli_config: SimliConfig, use_turn_server=False, latency_interval=0):
def __init__(
self,
simli_config: SimliConfig,
use_turn_server: bool = False,
latency_interval: int = 0,
):
super().__init__()
self._simli_client = SimliClient(simli_config, use_turn_server, latency_interval)
self._ready = False
self._pipecat_resampler_event = asyncio.Event()
self._pipecat_resampler: AudioResampler = None
self._simli_resampler = AudioResampler("s16", 1, 16000)
@@ -32,17 +50,14 @@ class SimliVideoService(FrameProcessor):
async def _start_connection(self):
await self._simli_client.Initialize()
self._ready = True
# Create task to consume and process audio and video
self._audio_task = asyncio.create_task(self._consume_and_process_audio())
self._video_task = asyncio.create_task(self._consume_and_process_video())
async def _consume_and_process_audio(self):
while self._pipecat_resampler is None:
await asyncio.sleep(0.001)
async for audio_frame in self._simli_client.getAudioStreamIterator():
# Process the audio frame
try:
try:
await self._pipecat_resampler_event.wait()
async for audio_frame in self._simli_client.getAudioStreamIterator():
resampled_frames = self._pipecat_resampler.resample(audio_frame)
for resampled_frame in resampled_frames:
await self.push_frame(
@@ -52,60 +67,71 @@ class SimliVideoService(FrameProcessor):
num_channels=1,
),
)
except Exception as e:
logger.exception(f"{self} exception: {e}")
except Exception as e:
logger.exception(f"{self} exception: {e}")
except asyncio.CancelledError:
pass
async def _consume_and_process_video(self):
while self._pipecat_resampler is None:
await asyncio.sleep(0.001)
async for video_frame in self._simli_client.getVideoStreamIterator(targetFormat="rgb24"):
# Process the video frame
convertedFrame: OutputImageRawFrame = OutputImageRawFrame(
image=video_frame.to_rgb().to_image().tobytes(),
size=(video_frame.width, video_frame.height),
format="RGB",
)
convertedFrame.pts = video_frame.pts
await self.push_frame(
convertedFrame,
)
try:
await self._pipecat_resampler_event.wait()
async for video_frame in self._simli_client.getVideoStreamIterator(
targetFormat="rgb24"
):
# Process the video frame
convertedFrame: OutputImageRawFrame = OutputImageRawFrame(
image=video_frame.to_rgb().to_image().tobytes(),
size=(video_frame.width, video_frame.height),
format="RGB",
)
convertedFrame.pts = video_frame.pts
await self.push_frame(convertedFrame)
except Exception as e:
logger.exception(f"{self} exception: {e}")
except asyncio.CancelledError:
pass
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
if isinstance(frame, StartFrame):
await self.push_frame(frame, direction)
await self._start_connection()
elif isinstance(frame, TTSAudioRawFrame):
# Send audio frame to Simli
try:
if self._ready:
oldFrame = AudioFrame.from_ndarray(
np.frombuffer(frame.audio, dtype=np.int16)[None, :],
layout=frame.num_channels,
)
oldFrame.sample_rate = frame.sample_rate
if self._pipecat_resampler is None:
self._pipecat_resampler = AudioResampler(
"s16", oldFrame.layout, oldFrame.sample_rate
)
old_frame = AudioFrame.from_ndarray(
np.frombuffer(frame.audio, dtype=np.int16)[None, :],
layout="mono" if frame.num_channels == 1 else "stereo",
)
old_frame.sample_rate = frame.sample_rate
resampledFrame = self._simli_resampler.resample(oldFrame)
for frame in resampledFrame:
await self._simli_client.send(frame.to_ndarray().astype(np.int16).tobytes())
return
else:
logger.warning(
"Simli Connection is not Initialized properly, passing audio to next processor"
if self._pipecat_resampler is None:
self._pipecat_resampler = AudioResampler(
"s16", old_frame.layout, old_frame.sample_rate
)
self._pipecat_resampler_event.set()
resampled_frames = self._simli_resampler.resample(old_frame)
for resampled_frame in resampled_frames:
await self._simli_client.send(
resampled_frame.to_ndarray().astype(np.int16).tobytes()
)
except Exception as e:
logger.exception(f"{self} exception: {e}")
elif isinstance(frame, (EndFrame, CancelFrame)):
await self._simli_client.stop()
self._audio_task.cancel()
await self._audio_task
self._video_task.cancel()
await self._video_task
await self._stop()
await self.push_frame(frame, direction)
elif isinstance(frame, StartInterruptionFrame):
await self._simli_client.clearBuffer()
await self.push_frame(frame, direction)
else:
await self.push_frame(frame, direction)
await self.push_frame(frame, direction)
async def _stop(self):
await self._simli_client.stop()
if self._audio_task:
self._audio_task.cancel()
await self._audio_task
if self._video_task:
self._video_task.cancel()
await self._video_task