charles_actor.py

import ray
import time
import asyncio
import os

@ray.remote
class CharlesActor:
    def __init__(self):
        self._needs_init = True
        self._system_one_audio_history_output = ""
        self._state = "Initializing"
        
    def get_state(self):
        return self._state
    
    
    def get_system_one_audio_history_output(self):
        return self._system_one_audio_history_output
    
    async def _initalize_resources(self):
        # Initialize resources
        print("000")
        from streamlit_av_queue import StreamlitAVQueue
        self._streamlit_av_queue = StreamlitAVQueue()

        print("002")
        from speech_to_text_vosk_actor import SpeechToTextVoskActor
        self._speech_to_text_actor = SpeechToTextVoskActor.remote()

        print("003")
        from respond_to_prompt_actor import RespondToPromptActor
        self._respond_to_prompt_actor = RespondToPromptActor.remote()
        
        self._debug_queue = [
            # "hello, how are you today?",
            # "hmm, interesting, tell me more about that.",
        ]
        print("010")
        self._needs_init = True
        self._state = "Initialized"
        
    async def start(self):
        if self._needs_init:
            await self._initalize_resources()
            
        system_one_audio_history = []
        
        self._state = "Waiting for input"
        total_video_frames = 0
        total_audio_frames = 0
        loops = 0
        
        process_speech_to_text_future = []

        while True:
            if len(self._debug_queue) > 0:
                prompt = self._debug_queue.pop(0)
                self._respond_to_prompt_actor.enqueue_prompt.remote(prompt)
            audio_frames = await self._streamlit_av_queue.get_audio_frames_async()    
            if len(audio_frames) > 0:
                total_audio_frames += len(audio_frames)
                # Concatenate all audio frames into a single buffer
                audio_buffer = b"".join([buffer.tobytes() for buffer in audio_frames])
                future = self._speech_to_text_actor.process_speech.remote(audio_buffer)
                process_speech_to_text_future.append(future)
            # audio_frames_task = None

            if len(process_speech_to_text_future) > 0:
                ready, _ = ray.wait([process_speech_to_text_future[0]], timeout=0)
                if ready:
                    prompt, speaker_finished = ray.get(process_speech_to_text_future[0])
                    del process_speech_to_text_future[0]

                    if speaker_finished and len(prompt) > 0:
                        print(f"Prompt: {prompt}")
                        system_one_audio_history.append(prompt)
                        if len(system_one_audio_history) > 10:
                            system_one_audio_history = system_one_audio_history[-10:]
                        table_content = "| System 1 Audio History |\n| --- |\n"
                        table_content += "\n".join([f"| {item} |" for item in reversed(system_one_audio_history)])
                        self._system_one_audio_history_output = table_content
                        self._respond_to_prompt_actor.enqueue_prompt.remote(prompt)
                        
            # video_frames = await self._streamlit_av_queue.get_video_frames_async()
            # if len(video_frames) > 0:
            #     total_video_frames += len(video_frames)
            # #     for video_frame in video_frames:
            # #         system_one_video_output.image(video_frame.to_ndarray())
            # #         pass
            
            # update debug output
            if (total_video_frames >0 or total_audio_frames > 0):
                self._state = f"Processed {total_video_frames} video frames and {total_audio_frames} audio frames"
            await asyncio.sleep(0.01)
            loops+=1
            self._state = f"Processed {total_video_frames} video frames and {total_audio_frames} audio frames, loops: {loops}"

if __name__ == "__main__":
    if not ray.is_initialized():
        # Try to connect to a running Ray cluster
        ray_address = os.getenv('RAY_ADDRESS')
        if ray_address:
            ray.init(ray_address, namespace="project_charles")
        else:
            ray.init(namespace="project_charles")

    charles_actor = CharlesActor.options(
        name="CharlesActor", 
        get_if_exists=True,
        ).remote() 
    future = charles_actor.start.remote()

    try:
        while True:
            ready, _ = ray.wait([future], timeout=0)
            if ready:
                # The start method has terminated. You can fetch the result (if any) with ray.get().
                # If the method raised an exception, it will be re-raised here.
                try:
                    result = ray.get(future)
                    print(f"The start method has terminated with result: {result}")
                except Exception as e:
                    print(f"The start method raised an exception: {e}")
                break
            else:
                # The start method is still running. You can poll for debug information here.
                time.sleep(1)
                state = charles_actor.get_state.remote()
                print(f"Charles is in state: {ray.get(state)}")
    except KeyboardInterrupt as e:
        print("Script was manually terminated")
        raise(e)