Merge branch 'main' into Raspberry-Pi-button-compatibility-(Thanks-Thea!!!)

OS/01/device.py

@@ -6,12 +6,15 @@ from starlette.websockets import WebSocket
 from queue import Queue
 from pynput import keyboard
 import json
+import traceback
 import websockets
 import queue
+import pydub
 import ast
 from pydub import AudioSegment
 from pydub.playback import play
 import io
+import time
 import wave
 import tempfile
 from datetime import datetime
@@ -19,7 +22,6 @@ from interpreter import interpreter # Just for code execution. Maybe we should l
 from utils.kernel import put_kernel_messages_into_queue
 from utils.get_system_info import get_system_info
 from stt import stt_wav
-import asyncio
 
 from utils.logs import setup_logging
 from utils.logs import logger
@@ -33,6 +35,10 @@ RATE = 44100  # Sample rate
 RECORDING = False  # Flag to control recording state
 SPACEBAR_PRESSED = False  # Flag to track spacebar press state
 
+# Configuration for WebSocket
+WS_URL = os.getenv('SERVER_URL')
+if not WS_URL:
+    raise ValueError("The environment variable SERVER_URL is not set. Please set it to proceed.")
 
 # Specify OS
 current_platform = get_system_info()
@@ -125,6 +131,7 @@ def on_release(key):
         logger.info("Exiting...")
         os._exit(0)
 
+import asyncio
 
 send_queue = queue.Queue()
 
@@ -137,12 +144,8 @@ async def message_sender(websocket):
 async def websocket_communication(WS_URL):
     while True:
         try:
-            logger.info(f"Connecting to `{WS_URL}` ...")
-
-            headers = {"ngrok-skip-browser-warning": str(80), "User-Agent": "project01"} if os.getenv('NGROK_AUTHTOKEN') else {}
-            async with websockets.connect(WS_URL, extra_headers=headers) as websocket:
+            async with websockets.connect(WS_URL) as websocket:
                 logger.info("Press the spacebar to start/stop recording. Press ESC to exit.")
-
                 asyncio.create_task(message_sender(websocket))
 
                 initial_message = {"role": None, "type": None, "format": None, "content": None} 
@@ -189,19 +192,14 @@ async def websocket_communication(WS_URL):
                             send_queue.put(result)
   
 
-        except Exception as e:
-            logger.exception(f"An error occurred during websocket communication. {e}")
+        except:
+            # traceback.print_exc()
             logger.info(f"Connecting to `{WS_URL}`...")
             await asyncio.sleep(2)
             
 
 if __name__ == "__main__":
-    # Configuration for WebSocket
     async def main():
-        WS_URL = os.getenv('SERVER_CONNECTION_URL')
-        if not WS_URL:
-            raise ValueError("The environment variable SERVER_URL is not set. Please set it to proceed.")
-
         # Start the WebSocket communication
         asyncio.create_task(websocket_communication(WS_URL))
 

OS/01/requirements.txt

@@ -1,16 +1,12 @@
 git+https://github.com/KillianLucas/open-interpreter.git
-asyncio==3.4.3
-PyAudio==0.2.14
-pynput==1.7.6
-fastapi==0.109.2
-uvicorn==0.27.1
-websockets==12.0
-playsound==1.3.0
-python-dotenv==1.0.1
-ffmpeg-python==0.2.0
-textual==0.50.1
-pydub==0.25.1
-ngrok==1.0.0
-wheel
-
-
+asyncio
+PyAudio
+pynput
+fastapi
+uvicorn
+websockets
+playsound
+python-dotenv
+ffmpeg-python
+textual
+pydub

OS/01/server.py

@@ -1,12 +1,17 @@
 from starlette.websockets import WebSocketDisconnect
 import ast
 import json
+import time
 import queue
 import os
 import traceback
+from queue import Queue
+from threading import Thread
+import threading
+import uvicorn
 import re
 from fastapi import FastAPI
-from fastapi.responses import PlainTextResponse
+from threading import Thread
 from starlette.websockets import WebSocket
 from stt import stt_bytes
 from tts import tts
@@ -16,8 +21,6 @@ import urllib.parse
 from utils.kernel import put_kernel_messages_into_queue
 from i import configure_interpreter
 from interpreter import interpreter
-import ngrok
-import signal
 
 from utils.logs import setup_logging
 from utils.logs import logger
@@ -87,10 +90,6 @@ if os.getenv('CODE_RUNNER') == "device":
 # Configure interpreter
 interpreter = configure_interpreter(interpreter)
 
-@app.get("/ping")
-async def ping():
-    return PlainTextResponse("pong")
-
 @app.websocket("/")
 async def websocket_endpoint(websocket: WebSocket):
     await websocket.accept()
@@ -234,7 +233,6 @@ from uvicorn import Config, Server
 if __name__ == "__main__":
 
     async def main():
-
         # Start listening
         asyncio.create_task(listener())
 
@@ -246,19 +244,6 @@ if __name__ == "__main__":
         if not server_url:
             raise ValueError("The environment variable SERVER_URL is not set. Please set it to proceed.")
         parsed_url = urllib.parse.urlparse(server_url)
-
-        # Set up Ngrok
-        ngrok_auth_token = os.getenv('NGROK_AUTHTOKEN')
-        if ngrok_auth_token is not None:
-            logger.info("Setting up Ngrok")
-            ngrok_listener = await ngrok.forward(f"{parsed_url.hostname}:{parsed_url.port}", authtoken=ngrok_auth_token)
-            ngrok_parsed_url = urllib.parse.urlparse(ngrok_listener.url())
-
-            # Setup SERVER_URL environment variable for device to use
-            connection_url = f"wss://{ngrok_parsed_url.hostname}/"
-            logger.info(f"Ngrok established at {ngrok_parsed_url.geturl()}")
-            logger.info(f"\033[1mSERVER_CONNECTION_URL should be set to \"{connection_url}\"\033[0m")
-
         logger.info("Starting `server.py`...")
 
         config = Config(app, host=parsed_url.hostname, port=parsed_url.port, lifespan='on')

OS/01/start.sh

@@ -3,16 +3,10 @@
 ### SETTINGS
 
 # If ALL_LOCAL is False, we'll use OpenAI's services
-# else we use whisper.cpp and piper local models
+# If setting ALL_LOCAL to true, set the path to the WHISPER local model
 export ALL_LOCAL=False
-export WHISPER_MODEL_NAME="ggml-tiny.en.bin"
-
-# Uncomment and set the OpenAI API key for OpenInterpreter to work
-# export OPENAI_API_KEY="sk-..."
-
-# Expose through Ngrok
-# Uncomment following line with your Ngrok auth token (https://dashboard.ngrok.com/get-started/your-authtoken)
-# export NGROK_AUTHTOKEN="AUTH_TOKEN"
+# export WHISPER_MODEL_PATH=...
+# export OPENAI_API_KEY=sk-...
 
 # For TTS, we use the en_US-lessac-medium voice model by default
 # Please change the voice URL and voice name if you wish to use another voice
@@ -22,7 +16,6 @@ export PIPER_VOICE_NAME="en_US-lessac-medium.onnx"
 # If SERVER_START, this is where we'll serve the server.
 # If DEVICE_START, this is where the device expects the server to be.
 export SERVER_URL=ws://localhost:8000/
-export SERVER_CONNECTION_URL=$SERVER_URL # Comment if setting up through Ngrok
 export SERVER_START=True
 export DEVICE_START=True
 
@@ -38,13 +31,9 @@ export SERVER_EXPOSE_PUBLICALLY=False
 # export LOG_LEVEL="DEBUG"
 export LOG_LEVEL="INFO"
 
-
 ### SETUP
 
 # if using local models, install the models / executables
-WHISPER_MODEL_URL="https://huggingface.co/ggerganov/whisper.cpp/resolve/main/"
-WHISPER_RUST_PATH="`pwd`/local_stt/whisper-rust"
-
 
 if [[ "$ALL_LOCAL" == "True" ]]; then
     curl -OL "${WHISPER_MODEL_URL}${WHISPER_MODEL_NAME}" --output-dir ${WHISPER_RUST_PATH}
@@ -97,14 +86,6 @@ fi
 
 start_device() {
     echo "Starting device..."
-    if [[ -n $NGROK_AUTHTOKEN ]]; then
-        echo "Waiting for Ngrok to setup"
-        sleep 7
-        read -p "Enter the Ngrok URL: " ngrok_url
-        export SERVER_CONNECTION_URL=$ngrok_url
-        echo "SERVER_CONNECTION_URL set to $SERVER_CONNECTION_URL"
-    fi
-
     python device.py &
     DEVICE_PID=$!
     echo "Device started as process $DEVICE_PID"
@@ -132,18 +113,18 @@ stop_processes() {
 # Trap SIGINT and SIGTERM to stop processes when the script is terminated
 trap stop_processes SIGINT SIGTERM
 
-# SERVER
-# Start server if SERVER_START is True
-if [[ "$SERVER_START" == "True" ]]; then
-    start_server
-fi
-
 # DEVICE
 # Start device if DEVICE_START is True
 if [[ "$DEVICE_START" == "True" ]]; then
     start_device
 fi
 
+# SERVER
+# Start server if SERVER_START is True
+if [[ "$SERVER_START" == "True" ]]; then
+    start_server
+fi
+
 # Wait for device and server processes to exit
 wait $DEVICE_PID
 wait $SERVER_PID

OS/01/stt.py

@@ -53,14 +53,13 @@ def run_command(command):
     return result.stdout, result.stderr
 
 def get_transcription_file(wav_file_path: str):
-    whisper_rust_path = os.path.join(os.path.dirname(__file__), 'local_stt', 'whisper-rust')
-    model_name = os.getenv('WHISPER_MODEL_NAME')
-    if not model_name:
-        raise EnvironmentError("WHISPER_MODEL_NAME environment variable is not set.")
+    model_path = os.getenv("WHISPER_MODEL_PATH")
+    if not model_path:
+        raise EnvironmentError("WHISPER_MODEL_PATH environment variable is not set.")
 
     output, error = run_command([
-        os.path.join(whisper_rust_path, 'whisper-rust'),
-        '--model-path', os.path.join(whisper_rust_path, model_name),
+        os.path.join(os.path.dirname(__file__), 'local_stt', 'whisper-rust', 'whisper-rust'),
+        '--model-path', model_path,
         '--file-path', wav_file_path
     ])
 

README.md

@@ -23,6 +23,8 @@ python -m pip install -r requirements.txt
 ```
 NB: Depending on your local Python version, you may run into [this issue↗](https://github.com/TaylorSMarks/playsound/issues/150) installing playsound. Workarounds are provided in the issue.
 
+If you want to run local speech-to-text from whisper, download the GGML Whisper model from [Huggingface](https://huggingface.co/ggerganov/whisper.cpp). Then in `OS/01/start.sh`, set `ALL_LOCAL=TRUE` and set `WHISPER_MODEL_PATH` to the path of the model.
+
 ## Usage
 
 ```bash
@@ -30,7 +32,6 @@ cd OS/01
 bash start.sh
 ```
 
-If you want to run local text-to-speech and speech-to-text, set `ALL_LOCAL` in the `start.sh` script to True. This will use the [whisper.cpp](https://github.com/ggerganov/whisper.cpp) and [Piper](https://github.com/rhasspy/piper) models.
 <br>
 
 ## Background