diff --git a/examples/foundational/25-simli-layer.py b/examples/foundational/25-simli-layer.py new file mode 100644 index 000000000..2cb70e614 --- /dev/null +++ b/examples/foundational/25-simli-layer.py @@ -0,0 +1,141 @@ +import asyncio +import aiohttp +import os +import sys + +from pipecat.audio.vad.silero import SileroVADAnalyzer +from pipecat.pipeline.pipeline import Pipeline +from pipecat.pipeline.runner import PipelineRunner +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 + +from simli import SimliConfig +from pipecat.services.simli import SimliVideoService + +load_dotenv(override=True) + +logger.remove(0) +logger.add(sys.stderr, level="DEBUG") + + +async def main(): + async with aiohttp.ClientSession() as session: + (room_url, 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) + + transport = DailyTransport( + room.url, + token, + "Chatbot", + DailyParams( + audio_out_enabled=True, + camera_out_enabled=True, + camera_out_width=512, + camera_out_height=512, + 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"), + voice_id="a167e0f3-df7e-4d52-a9c3-f949145efdab", + ) + + 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.", + }, + ] + simliAi = SimliVideoService( + SimliConfig(os.getenv("SIMLI_API_KEY"), os.getenv("SIMLI_FACE_ID")) + ) + print("starting connection to simi") + await simliAi.startConnection() + print("connection started") + + context = OpenAILLMContext(messages) + context_aggregator = llm.create_context_aggregator(context) + + pipeline = Pipeline( + [ + transport.input(), + context_aggregator.user(), + llm, + tts, + simliAi, + transport.output(), + context_aggregator.assistant(), + ] + ) + + task = PipelineTask( + pipeline, + PipelineParams( + allow_interruptions=True, + enable_metrics=True, + ), + ) + + @transport.event_handler("on_first_participant_joined") + async def on_first_participant_joined(transport, participant): + await transport.capture_participant_transcription(participant["id"]) + await task.queue_frames([LLMMessagesFrame(messages)]) + + runner = PipelineRunner() + await runner.run(task) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/pyproject.toml b/pyproject.toml index d4ffee4ef..3c673bd04 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -66,7 +66,7 @@ soundfile = [ "soundfile~=0.12.1" ] together = [ "openai~=1.50.2" ] websocket = [ "websockets~=13.1", "fastapi~=0.115.0" ] whisper = [ "faster-whisper~=1.0.3" ] - +simli = [ "simli-ai>=0.1.7"] [tool.setuptools.packages.find] # All the following settings are optional: where = ["src"] diff --git a/src/pipecat/services/simli.py b/src/pipecat/services/simli.py new file mode 100644 index 000000000..d25264438 --- /dev/null +++ b/src/pipecat/services/simli.py @@ -0,0 +1,116 @@ +import asyncio + +from pipecat.frames.frames import ( + Frame, + OutputImageRawFrame, + TTSAudioRawFrame, + StartInterruptionFrame, + EndFrame, + CancelFrame, +) +from pipecat.processors.frame_processor import FrameDirection, FrameProcessor + +import numpy as np +from av import AudioFrame +from av.audio.resampler import AudioResampler +from simli import SimliClient, SimliConfig + + +class SimliVideoService(FrameProcessor): + def __init__( + self, simliConfig: SimliConfig, useTurnServer=False, latencyInterval=60 + ): + super().__init__() + self.simliClient = SimliClient(simliConfig, useTurnServer, latencyInterval) + + self.pipecatResampler: AudioResampler = None + self.name = "SimliAi" + self.ready = False + self.simliResampler = AudioResampler("s16", 1, 16000) + self.AudioTask: asyncio.Task = None + self.VideoTask: asyncio.Task = None + + async def startConnection(self): + await self.simliClient.Initialize() + self.ready = True + # Create task to consume and process audio and video + self.AudioTask = asyncio.create_task(self.consume_and_process_audio()) + self.VideoTask = asyncio.create_task(self.consume_and_process_video()) + + async def consume_and_process_audio(self): + async for audio_frame in self.simliClient.getAudioStreamIterator(): + # Process the audio frame + try: + resampledFrames = self.pipecatResampler.resample(audio_frame) + for resampled_frame in resampledFrames: + await self.push_frame( + TTSAudioRawFrame( + audio=resampled_frame.to_ndarray().tobytes(), + sample_rate=self.pipecatResampler.rate, + num_channels=1, + ), + ) + except Exception as e: + print(e) + import traceback + + traceback.print_exc() + + async def consume_and_process_video(self): + async for video_frame in self.simliClient.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, + ) + + async def process_frame(self, frame: Frame, direction: FrameDirection): + await super().process_frame(frame, direction) + + if isinstance(frame, TTSAudioRawFrame): + # Send audio frame to Simli + try: + if self.ready: + AudioFrame + oldFrame = AudioFrame.from_ndarray( + np.frombuffer(frame.audio, dtype=np.int16)[None, :], + layout=frame.num_channels, + ) + oldFrame.sample_rate = frame.sample_rate + if self.pipecatResampler is None: + self.pipecatResampler = AudioResampler( + "s16", oldFrame.layout, oldFrame.sample_rate + ) + + resampledFrame = self.simliResampler.resample(oldFrame) + for frame in resampledFrame: + await self.simliClient.send( + frame.to_ndarray().astype(np.int16).tobytes() + ) + return + else: + print( + "Simli Connection is not Initialized properly, passing audio to next processor" + ) + await self.push_frame(frame, direction) + except Exception as e: + print(e) + import traceback + + traceback.print_exc() + elif isinstance(frame, (EndFrame, CancelFrame)): + await self.simliClient.stop() + self.AudioTask.cancel() + self.VideoTask.cancel() + + elif isinstance(frame, StartInterruptionFrame): + await self.simliClient.clearBuffer() + + await self.push_frame(frame, direction)