470 lines
16 KiB
Python
470 lines
16 KiB
Python
from abc import abstractmethod
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import asyncio
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import itertools
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import logging
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import numpy as np
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import pyaudio
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import torch
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import queue
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import threading
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import time
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from typing import AsyncGenerator
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from enum import Enum
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from dailyai.pipeline.frame_processor import FrameProcessor
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from dailyai.pipeline.frames import (
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AudioFrame,
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EndFrame,
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ImageFrame,
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Frame,
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PipelineStartedFrame,
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SpriteFrame,
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StartFrame,
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TextFrame,
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UserStartedSpeakingFrame,
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UserStoppedSpeakingFrame,
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)
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from dailyai.pipeline.pipeline import Pipeline
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from dailyai.services.ai_services import TTSService
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torch.set_num_threads(1)
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model, utils = torch.hub.load(
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repo_or_dir="snakers4/silero-vad", model="silero_vad", force_reload=False
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)
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(get_speech_timestamps, save_audio, read_audio, VADIterator, collect_chunks) = utils
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# Taken from utils_vad.py
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def validate(model, inputs: torch.Tensor):
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with torch.no_grad():
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outs = model(inputs)
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return outs
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# Provided by Alexander Veysov
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def int2float(sound):
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abs_max = np.abs(sound).max()
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sound = sound.astype("float32")
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if abs_max > 0:
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sound *= 1 / 32768
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sound = sound.squeeze() # depends on the use case
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return sound
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FORMAT = pyaudio.paInt16
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CHANNELS = 1
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SAMPLE_RATE = 16000
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CHUNK = int(SAMPLE_RATE / 10)
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audio = pyaudio.PyAudio()
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class VADState(Enum):
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QUIET = 1
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STARTING = 2
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SPEAKING = 3
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STOPPING = 4
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class BaseTransportService:
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def __init__(
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self,
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**kwargs,
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) -> None:
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self._mic_enabled = kwargs.get("mic_enabled") or False
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self._mic_sample_rate = kwargs.get("mic_sample_rate") or 16000
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self._camera_enabled = kwargs.get("camera_enabled") or False
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self._camera_width = kwargs.get("camera_width") or 1024
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self._camera_height = kwargs.get("camera_height") or 768
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self._speaker_enabled = kwargs.get("speaker_enabled") or False
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self._speaker_sample_rate = kwargs.get("speaker_sample_rate") or 16000
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self._fps = kwargs.get("fps") or 8
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self._vad_start_s = kwargs.get("vad_start_s") or 0.2
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self._vad_stop_s = kwargs.get("vad_stop_s") or 0.8
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self._context = kwargs.get("context") or []
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self._vad_enabled = kwargs.get("vad_enabled") or False
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if self._vad_enabled and self._speaker_enabled:
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raise Exception(
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"Sorry, you can't use speaker_enabled and vad_enabled at the same time. Please set one to False."
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)
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self._vad_samples = 1536
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vad_frame_s = self._vad_samples / SAMPLE_RATE
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self._vad_start_frames = round(self._vad_start_s / vad_frame_s)
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self._vad_stop_frames = round(self._vad_stop_s / vad_frame_s)
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self._vad_starting_count = 0
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self._vad_stopping_count = 0
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self._vad_state = VADState.QUIET
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self._user_is_speaking = False
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duration_minutes = kwargs.get("duration_minutes") or 10
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self._expiration = time.time() + duration_minutes * 60
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self.send_queue = asyncio.Queue()
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self.receive_queue = asyncio.Queue()
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self.completed_queue = asyncio.Queue()
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self._threadsafe_send_queue = queue.Queue()
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self._images = None
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try:
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self._loop: asyncio.AbstractEventLoop | None = asyncio.get_running_loop()
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except RuntimeError:
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self._loop = None
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self._stop_threads = threading.Event()
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self._is_interrupted = threading.Event()
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self._logger: logging.Logger = logging.getLogger()
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async def run(self, pipeline:Pipeline | None=None, override_pipeline_source_queue=True):
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self._prerun()
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async_output_queue_marshal_task = asyncio.create_task(self._marshal_frames())
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self._camera_thread = threading.Thread(target=self._run_camera, daemon=True)
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self._camera_thread.start()
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self._frame_consumer_thread = threading.Thread(
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target=self._frame_consumer, daemon=True
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)
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self._frame_consumer_thread.start()
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if self._speaker_enabled:
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self._receive_audio_thread = threading.Thread(
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target=self._receive_audio, daemon=True
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)
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self._receive_audio_thread.start()
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if self._vad_enabled:
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self._vad_thread = threading.Thread(target=self._vad, daemon=True)
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self._vad_thread.start()
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pipeline_task = None
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if pipeline:
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pipeline.set_sink(self.send_queue)
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if override_pipeline_source_queue:
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pipeline.set_source(self.receive_queue)
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pipeline_task = asyncio.create_task(pipeline.run_pipeline())
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try:
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while time.time() < self._expiration and not self._stop_threads.is_set():
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await asyncio.sleep(1)
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except Exception as e:
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self._logger.error(f"Exception {e}")
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raise e
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finally:
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# Do anything that must be done to clean up
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self._post_run()
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self._stop_threads.set()
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if pipeline_task:
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pipeline_task.cancel()
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await self.send_queue.put(EndFrame())
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await async_output_queue_marshal_task
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self._frame_consumer_thread.join()
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if self._speaker_enabled:
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self._receive_audio_thread.join()
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if self._vad_enabled:
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self._vad_thread.join()
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async def run_interruptible_pipeline(
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self,
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pipeline: Pipeline,
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allow_interruptions=True,
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pre_processor=None,
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post_processor: FrameProcessor | None = None,
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):
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pipeline.set_sink(self.send_queue)
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source_queue = asyncio.Queue()
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pipeline.set_source(source_queue)
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pipeline.set_sink(self.send_queue)
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pipeline_task = asyncio.create_task(pipeline.run_pipeline())
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async def yield_frame(frame: Frame) -> AsyncGenerator[Frame, None]:
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yield frame
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async def post_process(post_processor: FrameProcessor):
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while True:
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frame = await self.completed_queue.get()
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# We ignore the output of the post_processor's process frame;
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# this is called to update the post-processor's state.
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async for frame in post_processor.process_frame(frame):
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pass
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if isinstance(frame, EndFrame):
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break
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if post_processor:
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post_process_task = asyncio.create_task(post_process(post_processor))
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started = False
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async for frame in self.get_receive_frames():
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if isinstance(frame, UserStartedSpeakingFrame):
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pipeline_task.cancel()
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self.interrupt()
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pipeline_task = asyncio.create_task(pipeline.run_pipeline())
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started = False
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if not started:
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await self.send_queue.put(StartFrame())
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if pre_processor:
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frame_generator = pre_processor.process_frame(frame)
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else:
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frame_generator = yield_frame(frame)
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async for frame in frame_generator:
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await source_queue.put(frame)
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if isinstance(frame, EndFrame):
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break
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await asyncio.gather(pipeline_task, post_process_task)
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async def say(self, text:str, tts:TTSService):
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"""Say a phrase. Use with caution; this bypasses any running pipelines."""
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async for frame in tts.process_frame(TextFrame(text)):
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await self.send_queue.put(frame)
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def _post_run(self):
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# Note that this function must be idempotent! It can be called multiple times
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# if, for example, a keyboard interrupt occurs.
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pass
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def stop(self):
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self._stop_threads.set()
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async def stop_when_done(self):
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await self._wait_for_send_queue_to_empty()
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self.stop()
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async def _wait_for_send_queue_to_empty(self):
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await self.send_queue.join()
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self._threadsafe_send_queue.join()
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@abstractmethod
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def write_frame_to_camera(self, frame: bytes):
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pass
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@abstractmethod
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def write_frame_to_mic(self, frame: bytes):
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pass
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@abstractmethod
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def read_audio_frames(self, desired_frame_count):
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return bytes()
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@abstractmethod
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def _prerun(self):
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pass
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def _vad(self):
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# CB: Starting silero VAD stuff
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# TODO-CB: Probably need to force virtual speaker creation if we're
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# going to build this in?
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# TODO-CB: pyaudio installation
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while not self._stop_threads.is_set():
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audio_chunk = self.read_audio_frames(self._vad_samples)
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audio_int16 = np.frombuffer(audio_chunk, np.int16)
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audio_float32 = int2float(audio_int16)
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new_confidence = model(torch.from_numpy(audio_float32), 16000).item()
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speaking = new_confidence > 0.5
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if speaking:
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match self._vad_state:
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case VADState.QUIET:
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self._vad_state = VADState.STARTING
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self._vad_starting_count = 1
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case VADState.STARTING:
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self._vad_starting_count += 1
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case VADState.STOPPING:
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self._vad_state = VADState.SPEAKING
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self._vad_stopping_count = 0
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else:
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match self._vad_state:
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case VADState.STARTING:
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self._vad_state = VADState.QUIET
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self._vad_starting_count = 0
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case VADState.SPEAKING:
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self._vad_state = VADState.STOPPING
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self._vad_stopping_count = 1
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case VADState.STOPPING:
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self._vad_stopping_count += 1
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if (
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self._vad_state == VADState.STARTING
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and self._vad_starting_count >= self._vad_start_frames
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):
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asyncio.run_coroutine_threadsafe(
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self.receive_queue.put(UserStartedSpeakingFrame()), self._loop
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)
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# self.interrupt()
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self._vad_state = VADState.SPEAKING
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self._vad_starting_count = 0
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if (
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self._vad_state == VADState.STOPPING
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and self._vad_stopping_count >= self._vad_stop_frames
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):
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asyncio.run_coroutine_threadsafe(
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self.receive_queue.put(UserStoppedSpeakingFrame()), self._loop
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)
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self._vad_state = VADState.QUIET
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self._vad_stopping_count = 0
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async def _marshal_frames(self):
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while True:
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frame: Frame | list = await self.send_queue.get()
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self._threadsafe_send_queue.put(frame)
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self.send_queue.task_done()
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if isinstance(frame, EndFrame):
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break
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def interrupt(self):
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self._logger.debug("### Interrupting")
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self._is_interrupted.set()
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async def get_receive_frames(self) -> AsyncGenerator[Frame, None]:
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while True:
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frame = await self.receive_queue.get()
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yield frame
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if isinstance(frame, EndFrame):
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break
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def _receive_audio(self):
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if not self._loop:
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self._logger.error("No loop available for audio thread")
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return
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seconds = 1
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desired_frame_count = self._speaker_sample_rate * seconds
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while not self._stop_threads.is_set():
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buffer = self.read_audio_frames(desired_frame_count)
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if len(buffer) > 0:
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frame = AudioFrame(buffer)
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asyncio.run_coroutine_threadsafe(
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self.receive_queue.put(frame), self._loop
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)
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asyncio.run_coroutine_threadsafe(self.receive_queue.put(EndFrame()), self._loop)
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def _set_image(self, image: bytes):
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self._images = itertools.cycle([image])
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def _set_images(self, images: list[bytes], start_frame=0):
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self._images = itertools.cycle(images)
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def _run_camera(self):
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try:
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while not self._stop_threads.is_set():
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if self._images:
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this_frame = next(self._images)
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self.write_frame_to_camera(this_frame)
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time.sleep(1.0 / self._fps)
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except Exception as e:
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self._logger.error(f"Exception {e} in camera thread.")
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raise e
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def _frame_consumer(self):
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self._logger.info("🎬 Starting frame consumer thread")
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b = bytearray()
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smallest_write_size = 3200
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largest_write_size = 8000
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while True:
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try:
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frames_or_frame: Frame | list[Frame] = self._threadsafe_send_queue.get()
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if (
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isinstance(frames_or_frame, AudioFrame)
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and len(frames_or_frame.data) > largest_write_size
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):
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# subdivide large audio frames to enable interruption
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frames = []
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for i in range(0, len(frames_or_frame.data), largest_write_size):
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frames.append(
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AudioFrame(frames_or_frame.data[i : i + largest_write_size])
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)
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elif isinstance(frames_or_frame, Frame):
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frames: list[Frame] = [frames_or_frame]
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elif isinstance(frames_or_frame, list):
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frames: list[Frame] = frames_or_frame
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else:
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raise Exception("Unknown type in output queue")
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for frame in frames:
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if isinstance(frame, EndFrame):
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self._logger.info("Stopping frame consumer thread")
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self._stop_threads.set()
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self._threadsafe_send_queue.task_done()
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if self._loop:
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asyncio.run_coroutine_threadsafe(
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self.completed_queue.put(frame), self._loop
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)
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return
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# if interrupted, we just pull frames off the queue and discard them
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if not self._is_interrupted.is_set():
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if frame:
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if isinstance(frame, AudioFrame):
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chunk = frame.data
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b.extend(chunk)
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truncated_length: int = len(b) - (
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len(b) % smallest_write_size
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)
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if truncated_length:
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self.write_frame_to_mic(bytes(b[:truncated_length]))
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b = b[truncated_length:]
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elif isinstance(frame, ImageFrame):
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self._set_image(frame.image)
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elif isinstance(frame, SpriteFrame):
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self._set_images(frame.images)
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elif len(b):
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self.write_frame_to_mic(bytes(b))
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b = bytearray()
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else:
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# if there are leftover audio bytes, write them now; failing to do so
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# can cause static in the audio stream.
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if len(b):
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truncated_length = len(b) - (len(b) % 160)
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self.write_frame_to_mic(bytes(b[:truncated_length]))
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b = bytearray()
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if isinstance(frame, StartFrame):
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self._is_interrupted.clear()
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asyncio.run_coroutine_threadsafe(
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self.receive_queue.put(PipelineStartedFrame()),
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self._loop,
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)
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if self._loop:
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asyncio.run_coroutine_threadsafe(
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self.completed_queue.put(frame), self._loop
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)
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self._threadsafe_send_queue.task_done()
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except queue.Empty:
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if len(b):
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self.write_frame_to_mic(bytes(b))
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b = bytearray()
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except Exception as e:
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self._logger.error(f"Exception in frame_consumer: {e}, {len(b)}")
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raise e
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