From 10681b552f81064b83f2104a7f040bebf0d7878c Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Thu, 30 May 2024 21:08:03 -0400 Subject: [PATCH] add async-interpreter --- software/poetry.lock | 8745 ++++++++++--------- software/pyproject.toml | 15 +- software/source/clients/base_device.py | 41 +- software/source/server/ai_server.py | 119 + software/source/server/async_interpreter.py | 211 + software/start.py | 37 +- 6 files changed, 5041 insertions(+), 4127 deletions(-) create mode 100644 software/source/server/ai_server.py create mode 100644 software/source/server/async_interpreter.py diff --git a/software/poetry.lock b/software/poetry.lock index bf8f4a9..528ed12 100644 --- a/software/poetry.lock +++ b/software/poetry.lock @@ -1,103 +1,110 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. + +[[package]] +name = "absl-py" +version = "2.1.0" +description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." +optional = false +python-versions = ">=3.7" +files = [ + {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"}, + {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"}, +] [[package]] name = "aifs" -version = "0.0.9" +version = "0.0.15" description = "Local semantic search. 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return platform.system() == "Windows" and "10" in platform.version() and not is_win11() + return ( + platform.system() == "Windows" + and "10" in platform.version() + and not is_win11() + ) except: return False @@ -267,19 +273,18 @@ class Device: def on_press(self, key): """Detect spacebar press and Ctrl+C combination.""" self.pressed_keys.add(key) # Add the pressed key to the set - if keyboard.Key.space in self.pressed_keys: self.toggle_recording(True) - elif {keyboard.Key.ctrl, keyboard.KeyCode.from_char('c')} <= self.pressed_keys: + elif {keyboard.Key.ctrl, keyboard.KeyCode.from_char("c")} <= self.pressed_keys: logger.info("Ctrl+C pressed. Exiting...") kill_process_tree() os._exit(0) - + # Windows alternative to the above if key == keyboard.Key.ctrl_l: self.ctrl_pressed = True - + try: if key.vk == 67 and self.ctrl_pressed: logger.info("Ctrl+C pressed. Exiting...") @@ -289,17 +294,17 @@ class Device: except: pass - - def on_release(self, key): """Detect spacebar release and 'c' key press for camera, and handle key release.""" - self.pressed_keys.discard(key) # Remove the released key from the key press tracking set + self.pressed_keys.discard( + key + ) # Remove the released key from the key press tracking set if key == keyboard.Key.ctrl_l: self.ctrl_pressed = False if key == keyboard.Key.space: self.toggle_recording(False) - elif CAMERA_ENABLED and key == keyboard.KeyCode.from_char('c'): + elif CAMERA_ENABLED and key == keyboard.KeyCode.from_char("c"): self.fetch_image_from_camera() async def message_sender(self, websocket): @@ -307,14 +312,18 @@ class Device: message = await asyncio.get_event_loop().run_in_executor( None, send_queue.get ) + if isinstance(message, bytes): await websocket.send(message) + else: await websocket.send(json.dumps(message)) + send_queue.task_done() await asyncio.sleep(0.01) async def websocket_communication(self, WS_URL): + print("websocket communication was called!!!!") show_connection_log = True async def exec_ws_communication(websocket): @@ -331,8 +340,8 @@ class Device: await asyncio.sleep(0.01) chunk = await websocket.recv() - logger.debug(f"Got this message from the server: {type(chunk)} {chunk}") - + # logger.debug(f"Got this message from the server: {type(chunk)} {chunk}") + print((f"Got this message from the server: {type(chunk)} {chunk}")) if type(chunk) == str: chunk = json.loads(chunk) @@ -369,7 +378,7 @@ class Device: code = message["content"] result = interpreter.computer.run(language, code) send_queue.put(result) - + if is_win10(): logger.info("Windows 10 detected") # Workaround for Windows 10 not latching to the websocket server. @@ -380,20 +389,22 @@ class Device: except Exception as e: logger.error(f"Error while attempting to connect: {e}") else: + print("websocket url is", WS_URL) while True: try: async with websockets.connect(WS_URL) as websocket: await exec_ws_communication(websocket) except: - logger.debug(traceback.format_exc()) + logger.info(traceback.format_exc()) if show_connection_log: logger.info(f"Connecting to `{WS_URL}`...") show_connection_log = False await asyncio.sleep(2) async def start_async(self): + print("start async was called!!!!!") # Configuration for WebSocket - WS_URL = f"ws://{self.server_url}" + WS_URL = f"ws://{self.server_url}/ws" # Start the WebSocket communication asyncio.create_task(self.websocket_communication(WS_URL)) @@ -430,8 +441,10 @@ class Device: on_press=self.on_press, on_release=self.on_release ) listener.start() + print("listener for keyboard started!!!!!") def start(self): + print("device was started!!!!!!") if os.getenv("TEACH_MODE") != "True": asyncio.run(self.start_async()) p.terminate() diff --git a/software/source/server/ai_server.py b/software/source/server/ai_server.py new file mode 100644 index 0000000..8afdb20 --- /dev/null +++ b/software/source/server/ai_server.py @@ -0,0 +1,119 @@ +import asyncio +import traceback +import json +from fastapi import FastAPI, WebSocket, Header +from uvicorn import Config, Server +from interpreter import interpreter as base_interpreter +from .async_interpreter import AsyncInterpreter +from fastapi.middleware.cors import CORSMiddleware +from typing import List, Dict, Any +from openai import OpenAI +from pydantic import BaseModel +import argparse +import os + +os.environ["STT_RUNNER"] = "server" +os.environ["TTS_RUNNER"] = "server" + +# Parse command line arguments for port number +parser = argparse.ArgumentParser(description="FastAPI server.") +parser.add_argument("--port", type=int, default=8000, help="Port to run on.") +args = parser.parse_args() + +base_interpreter.tts = "openai" +base_interpreter.llm.model = "gpt-4-turbo" + + +async def main(): + interpreter = AsyncInterpreter(base_interpreter) + + app = FastAPI() + + app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], # Allow all methods (GET, POST, etc.) + allow_headers=["*"], # Allow all headers + ) + + @app.post("/load_chat") + async def load_chat(messages: List[Dict[str, Any]]): + interpreter.interpreter.messages = messages + interpreter.active_chat_messages = messages + print("πŸͺΌπŸͺΌπŸͺΌπŸͺΌπŸͺΌπŸͺΌ Messages loaded: ", interpreter.active_chat_messages) + return {"status": "success"} + + @app.websocket("/ws") + async def websocket_endpoint(websocket: WebSocket): + await websocket.accept() + try: + + async def receive_input(): + while True: + data = await websocket.receive() + + if isinstance(data, bytes): + await interpreter.input(data) + elif "bytes" in data: + await interpreter.input(data["bytes"]) + print("SERVER FEEDING AUDIO") + elif "text" in data: + print("RECEIVED INPUT", data) + await interpreter.input(data["text"]) + + async def send_output(): + while True: + output = await interpreter.output() + if isinstance(output, bytes): + await websocket.send_bytes(output) + # we dont send out bytes rn, no TTS + pass + elif isinstance(output, dict): + await websocket.send_text(json.dumps(output)) + + await asyncio.gather(receive_input(), send_output()) + except Exception as e: + print(f"WebSocket connection closed with exception: {e}") + traceback.print_exc() + finally: + await websocket.close() + + config = Config(app, host="0.0.0.0", port=8000, lifespan="on") + server = Server(config) + await server.serve() + + class Rename(BaseModel): + input: str + + @app.post("/rename-chat") + async def rename_chat(body_content: Rename, x_api_key: str = Header(None)): + print("RENAME CHAT REQUEST in PY πŸŒ™πŸŒ™πŸŒ™πŸŒ™") + input_value = body_content.input + client = OpenAI( + # defaults to os.environ.get("OPENAI_API_KEY") + api_key=x_api_key, + ) + try: + response = client.chat.completions.create( + model="gpt-3.5-turbo", + messages=[ + { + "role": "user", + "content": f"Given the following chat snippet, create a unique and descriptive title in less than 8 words. Your answer must not be related to customer service.\n\n{input_value}", + } + ], + temperature=0.3, + stream=False, + ) + print(response) + completion = response["choices"][0]["message"]["content"] + return {"data": {"content": completion}} + except Exception as e: + print(f"Error: {e}") + traceback.print_exc() + return {"error": str(e)} + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/software/source/server/async_interpreter.py b/software/source/server/async_interpreter.py new file mode 100644 index 0000000..6c21a8e --- /dev/null +++ b/software/source/server/async_interpreter.py @@ -0,0 +1,211 @@ +# This is a websocket interpreter, TTS and STT disabled. +# It makes a websocket on port 8000 that sends/recieves LMC messages in *streaming* format. + +### You MUST send a start and end flag with each message! For example: ### + +""" +{"role": "user", "type": "message", "start": True}) +{"role": "user", "type": "message", "content": "hi"}) +{"role": "user", "type": "message", "end": True}) +""" + +### + +from pynput import keyboard +from RealtimeTTS import TextToAudioStream, OpenAIEngine, CoquiEngine +from RealtimeSTT import AudioToTextRecorder +import time +import asyncio +import json + + +class AsyncInterpreter: + def __init__(self, interpreter): + self.interpreter = interpreter + + # STT + self.stt = AudioToTextRecorder(use_microphone=False) + self.stt.stop() # It needs this for some reason + + # TTS + if self.interpreter.tts == "coqui": + engine = CoquiEngine() + elif self.interpreter.tts == "openai": + engine = OpenAIEngine() + self.tts = TextToAudioStream(engine) + + self.active_chat_messages = [] + + self._input_queue = asyncio.Queue() # Queue that .input will shove things into + self._output_queue = asyncio.Queue() # Queue to put output chunks into + self._last_lmc_start_flag = None # Unix time of last LMC start flag recieved + self._in_keyboard_write_block = ( + False # Tracks whether interpreter is trying to use the keyboard + ) + self.loop = asyncio.get_event_loop() + + async def _add_to_queue(self, queue, item): + await queue.put(item) + + async def clear_queue(self, queue): + while not queue.empty(): + await queue.get() + + async def clear_input_queue(self): + await self.clear_queue(self._input_queue) + + async def clear_output_queue(self): + await self.clear_queue(self._output_queue) + + async def input(self, chunk): + """ + Expects a chunk in streaming LMC format. + """ + if isinstance(chunk, bytes): + # It's probably a chunk of audio + self.stt.feed_audio(chunk) + print("INTERPRETER FEEDING AUDIO") + + else: + + try: + chunk = json.loads(chunk) + except: + pass + + if "start" in chunk: + print("input received") + self.stt.start() + self._last_lmc_start_flag = time.time() + # self.interpreter.computer.terminal.stop() # Stop any code execution... maybe we should make interpreter.stop()? + elif "end" in chunk: + print("running oi on input now") + asyncio.create_task(self.run()) + else: + await self._add_to_queue(self._input_queue, chunk) + + def add_to_output_queue_sync(self, chunk): + """ + Synchronous function to add a chunk to the output queue. + """ + print("ADDING TO QUEUE:", chunk) + asyncio.create_task(self._add_to_queue(self._output_queue, chunk)) + + async def run(self): + """ + Runs OI on the audio bytes submitted to the input. Will add streaming LMC chunks to the _output_queue. + """ + self.interpreter.messages = self.active_chat_messages + + # self.beeper.start() + + self.stt.stop() + # message = self.stt.text() + # print("THE MESSAGE:", message) + + # accumulates the input queue message + input_queue = [] + while not self._input_queue.empty(): + input_queue.append(self._input_queue.get()) + + print("INPUT QUEUE:", input_queue) + # message = [i for i in input_queue if i["type"] == "message"][0]["content"] + # message = self.stt.text() + + message = "hello" + print(message) + + # print(message) + def generate(message): + last_lmc_start_flag = self._last_lmc_start_flag + self.interpreter.messages = self.active_chat_messages + print( + "πŸ€πŸ€πŸ€πŸ€GENERATING, using these messages: ", self.interpreter.messages + ) + print("πŸ€ πŸ€ πŸ€ πŸ€ active_chat_messages: ", self.active_chat_messages) + print("message is", message) + + for chunk in self.interpreter.chat(message, display=True, stream=True): + + if self._last_lmc_start_flag != last_lmc_start_flag: + # self.beeper.stop() + break + + # self.add_to_output_queue_sync(chunk) # To send text, not just audio + + content = chunk.get("content") + + # Handle message blocks + if chunk.get("type") == "message": + if content: + # self.beeper.stop() + + # Experimental: The AI voice sounds better with replacements like these, but it should happen at the TTS layer + # content = content.replace(". ", ". ... ").replace(", ", ", ... ").replace("!", "! ... ").replace("?", "? ... ") + + yield content + + # Handle code blocks + elif chunk.get("type") == "code": + if "start" in chunk: + # self.beeper.start() + pass + + # Experimental: If the AI wants to type, we should type immediatly + if ( + self.interpreter.messages[-1] + .get("content", "") + .startswith("computer.keyboard.write(") + ): + keyboard.controller.type(content) + self._in_keyboard_write_block = True + if "end" in chunk and self._in_keyboard_write_block: + self._in_keyboard_write_block = False + # (This will make it so it doesn't type twice when the block executes) + if self.interpreter.messages[-1]["content"].startswith( + "computer.keyboard.write(" + ): + self.interpreter.messages[-1]["content"] = ( + "dummy_variable = (" + + self.interpreter.messages[-1]["content"][ + len("computer.keyboard.write(") : + ] + ) + + # Send a completion signal + + # self.add_to_output_queue_sync({"role": "server","type": "completion", "content": "DONE"}) + + # Feed generate to RealtimeTTS + self.add_to_output_queue_sync( + {"role": "assistant", "type": "audio", "format": "bytes.wav", "start": True} + ) + self.tts.feed(generate(message)) + self.tts.play_async(on_audio_chunk=self.on_tts_chunk, muted=True) + while True: + if self.tts.is_playing(): + break + await asyncio.sleep(0.1) + while True: + await asyncio.sleep(0.1) + print("is_playing", self.tts.is_playing()) + if not self.tts.is_playing(): + self.add_to_output_queue_sync( + { + "role": "assistant", + "type": "audio", + "format": "bytes.wav", + "end": True, + } + ) + break + + async def _on_tts_chunk_async(self, chunk): + print("SENDING TTS CHUNK") + await self._add_to_queue(self._output_queue, chunk) + + def on_tts_chunk(self, chunk): + asyncio.run(self._on_tts_chunk_async(chunk)) + + async def output(self): + return await self._output_queue.get() diff --git a/software/start.py b/software/start.py index 3b143d9..cc8d25e 100644 --- a/software/start.py +++ b/software/start.py @@ -5,7 +5,7 @@ import threading import os import importlib from source.server.tunnel import create_tunnel -from source.server.server import main +from source.server.ai_server import main from source.server.utils.local_mode import select_local_model import signal @@ -22,7 +22,7 @@ def run( help="Specify the server host where the server will deploy", ), server_port: int = typer.Option( - 10001, + 8000, "--server-port", help="Specify the server port where the server will deploy", ), @@ -103,7 +103,7 @@ def run( def _run( server: bool = False, server_host: str = "0.0.0.0", - server_port: int = 10001, + server_port: int = 8000, tunnel_service: str = "bore", expose: bool = False, client: bool = False, @@ -127,7 +127,7 @@ def _run( # llm_service = "llamafile" stt_service = "local-whisper" select_local_model() - + system_type = platform.system() if system_type == "Windows": server_host = "localhost" @@ -138,8 +138,6 @@ def _run( if not server and not client: server = True client = True - - def handle_exit(signum, frame): os._exit(0) @@ -154,18 +152,18 @@ def _run( target=loop.run_until_complete, args=( main( - server_host, - server_port, - llm_service, - model, - llm_supports_vision, - llm_supports_functions, - context_window, - max_tokens, - temperature, - tts_service, - stt_service, - mobile, + # server_host, + # server_port, + # llm_service, + # model, + # llm_supports_vision, + # llm_supports_functions, + # context_window, + # max_tokens, + # temperature, + # tts_service, + # stt_service, + # mobile, ), ), ) @@ -182,6 +180,7 @@ def _run( system_type = platform.system() if system_type == "Darwin": # Mac OS client_type = "mac" + print("initiating mac device with base device!!!") elif system_type == "Windows": # Windows System client_type = "windows" elif system_type == "Linux": # Linux System @@ -197,7 +196,9 @@ def _run( module = importlib.import_module( f".clients.{client_type}.device", package="source" ) + server_url = "0.0.0.0:8000" client_thread = threading.Thread(target=module.main, args=[server_url]) + print("client thread started") client_thread.start() try: