app.py

"""Pipecat + Simli bot. Run: python pipecat-simpli.py -t webrtc then open http://localhost:7860
In Playground: enable the bot video (camera) in DEVICES so the avatar is visible."""
import os

from dotenv import load_dotenv
from loguru import logger

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.processors.aggregators.openai_llm_context import OpenAILLMContext
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.services.simli.video import SimliVideoService
from pipecat.transports.base_transport import BaseTransport, TransportParams

load_dotenv(override=True)

_REQUIRED_ENV = ["OPENAI_API_KEY", "DEEPGRAM_API_KEY", "CARTESIA_API_KEY", "CARTESIA_VOICE_ID", "SIMLI_API_KEY", "SIMLI_FACE_ID"]
_missing = [k for k in _REQUIRED_ENV if not os.getenv(k)]
if _missing:
    raise SystemExit(f"Missing .env keys: {', '.join(_missing)}. Add them to .env and restart.")


def _daily_params():
    from pipecat.transports.services.daily import DailyParams
    return DailyParams(
        audio_in_enabled=True,
        audio_out_enabled=True,
        video_out_enabled=True,
        video_out_is_live=True,
        video_out_width=512,
        video_out_height=512,
        vad_analyzer=SileroVADAnalyzer(),
    )


transport_params = {
    "daily": _daily_params,
    "webrtc": lambda: TransportParams(
        audio_in_enabled=True,
        audio_out_enabled=True,
        video_out_enabled=True,
        video_out_is_live=True,
        video_out_width=512,
        video_out_height=512,
        vad_analyzer=SileroVADAnalyzer(),
    ),
}


async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    logger.info("Starting bot")

    stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))

    tts = CartesiaTTSService(
        api_key=os.getenv("CARTESIA_API_KEY"),
        voice_id=os.getenv("CARTESIA_VOICE_ID"),
    )
    simli_ai = SimliVideoService(
        api_key=os.getenv("SIMLI_API_KEY"),
        face_id=os.getenv("SIMLI_FACE_ID"),
        params=SimliVideoService.InputParams(
            max_session_length=3600,
            max_idle_time=300,
        ),
    )


    llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o-mini")

    messages = [
        {
            "role": "system",
            "content": "You are a helpful assistant in a voice call. As soon as the call starts, say one short greeting (e.g. 'Hi, how can I help you today?') in a single sentence, then answer briefly. Keep responses concise.",
        },
        {"role": "user", "content": "Say a brief greeting to start the call."},
    ]

    context = OpenAILLMContext(messages)
    context_aggregator = llm.create_context_aggregator(context)

    pipeline = Pipeline(
        [
            transport.input(),
            stt,
            context_aggregator.user(),
            llm,
            tts,
            simli_ai,
            transport.output(),
            context_aggregator.assistant(),
        ]
    )

    task = PipelineTask(
        pipeline,
        params=PipelineParams(
            enable_metrics=True,
            enable_usage_metrics=True,
        ),
        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
    )

    @transport.event_handler("on_client_connected")
    async def on_client_connected(transport, client):
        logger.info(f"Client connected")
        await task.queue_frames([context_aggregator.user().get_context_frame()])

    @transport.event_handler("on_client_disconnected")
    async def on_client_disconnected(transport, client):
        logger.info(f"Client disconnected")
        await task.cancel()

    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
    await runner.run(task)


async def bot(runner_args: RunnerArguments):
    """Main bot entry point compatible with Pipecat Cloud."""
    transport = await create_transport(runner_args, transport_params)
    await run_bot(transport, runner_args)


if __name__ == "__main__":
    from pipecat.runner.run import main

    main()