open-interpreter-ai
/
01
mirror of https://github.com/OpenInterpreter/01
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Merge remote-tracking branch 'upstream/main' into u/shivenmian/teach

Browse Source
pull/38/head
Shiven Mian 11 months ago
parent 502d26dd63 39afff19ff
commit 86a399d218
21 changed files with 349 additions and 1480 deletions
Show Stats Download Patch File Download Diff File

2
.gitignore vendored
Unescape View File

@ -167,4 +167,4 @@ cython_debug/
# ignore the aifs index files
_.aifs
01OS/output_audio.wav
01OS/output_audio.wav

11
01OS/.env.example
Unescape View File

@ -36,6 +36,17 @@ STT_RUNNER=client # If server, audio will be sent over websocket.
# Will expose the server publically and display that URL.
SERVER_EXPOSE_PUBLICALLY=False
# Image capture settings
CAMERA_ENABLED=True
# Camera device selection (Typically 0 for built-in, 1 for USB)
CAMERA_DEVICE_INDEX=0
# Camera warmup time
# This is a workaround for some cameras that don't immediately
# return a properly exposed picture when they are first turned on
CAMERA_WARMUP_SECONDS=0.4
# Debug level
# LOG_LEVEL=DEBUG
LOG_LEVEL="INFO"

174
01OS/01OS/clients/base_device.py
Unescape View File

@ -1,6 +1,7 @@
from dotenv import load_dotenv
load_dotenv() # take environment variables from .env.
import os
import asyncio
import threading
import os
@ -21,7 +22,10 @@ import time
import wave
import tempfile
from datetime import datetime
import cv2
import base64
from interpreter import interpreter # Just for code execution. Maybe we should let people do from interpreter.computer import run?
# In the future, I guess kernel watching code should be elsewhere? Somewhere server / client agnostic?
from ..server.utils.kernel import put_kernel_messages_into_queue
from ..server.utils.get_system_info import get_system_info
from ..server.stt.stt import stt_wav
@ -30,6 +34,11 @@ from ..server.utils.logs import setup_logging
from ..server.utils.logs import logger
setup_logging()
from ..utils.accumulator import Accumulator
accumulator = Accumulator()
# Configuration for Audio Recording
CHUNK = 1024 # Record in chunks of 1024 samples
FORMAT = pyaudio.paInt16 # 16 bits per sample
@ -38,25 +47,99 @@ RATE = 44100 # Sample rate
RECORDING = False # Flag to control recording state
SPACEBAR_PRESSED = False # Flag to track spacebar press state
# Camera configuration
CAMERA_ENABLED = bool(os.getenv('CAMERA_ENABLED', False))
CAMERA_DEVICE_INDEX = int(os.getenv('CAMERA_DEVICE_INDEX', 0))
CAMERA_WARMUP_SECONDS = float(os.getenv('CAMERA_WARMUP_SECONDS', 0))
# Specify OS
current_platform = get_system_info()
# Initialize PyAudio
p = pyaudio.PyAudio()
import asyncio
send_queue = queue.Queue()
class Device:
def __init__(self):
self.pressed_keys = set()
self.captured_images = []
self.audiosegments = []
def fetch_image_from_camera(self, camera_index=CAMERA_DEVICE_INDEX):
"""Captures an image from the specified camera device and saves it to a temporary file. Adds the image to the captured_images list."""
image_path = None
cap = cv2.VideoCapture(camera_index)
ret, frame = cap.read() # Capture a single frame to initialize the camera
if CAMERA_WARMUP_SECONDS > 0:
# Allow camera to warm up, then snap a picture again
# This is a workaround for some cameras that don't return a properly exposed
# picture immediately when they are first turned on
time.sleep(CAMERA_WARMUP_SECONDS)
ret, frame = cap.read()
if ret:
temp_dir = tempfile.gettempdir()
image_path = os.path.join(temp_dir, f"01_photo_{datetime.now().strftime('%Y%m%d%H%M%S%f')}.png")
self.captured_images.append(image_path)
cv2.imwrite(image_path, frame)
logger.info(f"Camera image captured to {image_path}")
logger.info(f"You now have {len(self.captured_images)} images which will be sent along with your next audio message.")
else:
logger.error(f"Error: Couldn't capture an image from camera ({camera_index})")
cap.release()
return image_path
def encode_image_to_base64(self, image_path):
"""Encodes an image file to a base64 string."""
with open(image_path, "rb") as image_file:
return base64.b64encode(image_file.read()).decode('utf-8')
def add_image_to_send_queue(self, image_path):
"""Encodes an image and adds an LMC message to the send queue with the image data."""
base64_image = self.encode_image_to_base64(image_path)
image_message = {
"role": "user",
"type": "image",
"format": "base64.png",
"content": base64_image
}
send_queue.put(image_message)
# Delete the image file from the file system after sending it
os.remove(image_path)
def queue_all_captured_images(self):
"""Queues all captured images to be sent."""
for image_path in self.captured_images:
self.add_image_to_send_queue(image_path)
self.captured_images.clear() # Clear the list after sending
async def play_audiosegments(self):
"""Plays them sequentially."""
while True:
try:
for audio in self.audiosegments:
play(audio)
self.audiosegments.remove(audio)
await asyncio.sleep(0.1)
except asyncio.exceptions.CancelledError:
# This happens once at the start?
pass
except:
logger.info(traceback.format_exc())
def record_audio(self):
if os.getenv('STT_RUNNER') == "server":
# STT will happen on the server. we're sending audio.
send_queue.put({"role": "user", "type": "audio", "format": "audio/wav", "start": True})
send_queue.put({"role": "user", "type": "audio", "format": "bytes.wav", "start": True})
elif os.getenv('STT_RUNNER') == "client":
# STT will happen here, on the client. we're sending text.
send_queue.put({"role": "user", "type": "message", "start": True})
@ -92,9 +175,11 @@ class Device:
send_queue.put({"role": "user", "type": "message", "content": "stop"})
send_queue.put({"role": "user", "type": "message", "end": True})
else:
send_queue.put({"role": "user", "type": "audio", "format": "audio/wav", "content": ""})
send_queue.put({"role": "user", "type": "audio", "format": "audio/wav", "end": True})
send_queue.put({"role": "user", "type": "audio", "format": "bytes.wav", "content": ""})
send_queue.put({"role": "user", "type": "audio", "format": "bytes.wav", "end": True})
else:
self.queue_all_captured_images()
if os.getenv('STT_RUNNER') == "client":
# Run stt then send text
text = stt_wav(wav_path)
@ -105,9 +190,9 @@ class Device:
with open(wav_path, 'rb') as audio_file:
byte_data = audio_file.read(CHUNK)
while byte_data:
send_queue.put({"role": "user", "type": "audio", "format": "audio/wav", "content": str(byte_data)})
send_queue.put(byte_data)
byte_data = audio_file.read(CHUNK)
send_queue.put({"role": "user", "type": "audio", "format": "audio/wav", "end": True})
send_queue.put({"role": "user", "type": "audio", "format": "bytes.wav", "end": True})
if os.path.exists(wav_path):
os.remove(wav_path)
@ -125,86 +210,82 @@ class Device:
RECORDING = False
def on_press(self, key):
"""Detect spacebar press, ESC key press, and Ctrl+C combination."""
"""Detect spacebar press and Ctrl+C combination."""
self.pressed_keys.add(key) # Add the pressed key to the set
if keyboard.Key.esc in self.pressed_keys:
logger.info("Exiting...")
os._exit(0)
elif keyboard.Key.space in self.pressed_keys:
if keyboard.Key.space in self.pressed_keys:
self.toggle_recording(True)
elif {keyboard.Key.ctrl, keyboard.KeyCode.from_char('c')} <= self.pressed_keys:
logger.info("Ctrl+C pressed. Exiting...")
os._exit(0)
def on_release(self, key):
"""Detect spacebar release and ESC key press."""
"""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
if key == keyboard.Key.space:
self.toggle_recording(False)
elif key == keyboard.Key.esc or (key == keyboard.Key.ctrl and keyboard.Key.c):
logger.info("Exiting...")
os._exit(0)
elif CAMERA_ENABLED and key == keyboard.KeyCode.from_char('c'):
self.fetch_image_from_camera()
async def message_sender(self, websocket):
while True:
message = await asyncio.get_event_loop().run_in_executor(None, send_queue.get)
await websocket.send(json.dumps(message))
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):
while True:
try:
async with websockets.connect(WS_URL) as websocket:
logger.info("Press the spacebar to start/stop recording. Press ESC to exit.")
if CAMERA_ENABLED:
logger.info("Press the spacebar to start/stop recording. Press 'c' to capture an image from the camera. Press CTRL-C to exit.")
else:
logger.info("Press the spacebar to start/stop recording. Press CTRL-C to exit.")
asyncio.create_task(self.message_sender(websocket))
initial_message = {"role": None, "type": None, "format": None, "content": None}
message_so_far = initial_message
while True:
message = await websocket.recv()
await asyncio.sleep(0.01)
chunk = await websocket.recv()
logger.debug(f"Got this message from the server: {type(message)} {message}")
logger.debug(f"Got this message from the server: {type(chunk)} {chunk}")
if type(message) == str:
message = json.loads(message)
if type(chunk) == str:
chunk = json.loads(chunk)
if message.get("end"):
logger.debug(f"Complete message from the server: {message_so_far}")
logger.info("\n")
message_so_far = initial_message
message = accumulator.accumulate(chunk)
if message == None:
# Will be None until we have a full message ready
continue
if "content" in message:
print(message['content'], end="", flush=True)
if any(message_so_far[key] != message[key] for key in message_so_far if key != "content"):
message_so_far = message
else:
message_so_far["content"] += message["content"]
# At this point, we have our message
if message["type"] == "audio" and "content" in message:
audio_bytes = bytes(ast.literal_eval(message["content"]))
if message["type"] == "audio" and message["format"].startswith("bytes"):
# Convert bytes to audio file
audio_file = io.BytesIO(audio_bytes)
audio = AudioSegment.from_mp3(audio_file)
# Play the audio
play(audio)
# Format will be bytes.wav or bytes.opus
audio_bytes = io.BytesIO(message["content"])
audio = AudioSegment.from_file(audio_bytes, codec=message["format"].split(".")[1])
await asyncio.sleep(1)
self.audiosegments.append(audio)
# Run the code if that's the client's job
if os.getenv('CODE_RUNNER') == "client":
if message["type"] == "code" and "end" in message:
language = message_so_far["format"]
code = message_so_far["content"]
language = message["format"]
code = message["content"]
result = interpreter.computer.run(language, code)
send_queue.put(result)
except:
# traceback.print_exc()
logger.debug(traceback.format_exc())
logger.info(f"Connecting to `{WS_URL}`...")
await asyncio.sleep(2)
@ -221,6 +302,7 @@ class Device:
if os.getenv('CODE_RUNNER') == "client":
asyncio.create_task(put_kernel_messages_into_queue(send_queue))
asyncio.create_task(self.play_audiosegments())
# If Raspberry Pi, add the button listener, otherwise use the spacebar
if current_platform.startswith("raspberry-pi"):

2
01OS/01OS/clients/start.sh
Unescape View File

@ -1,8 +1,6 @@
DEVICE=$(uname -n)
if [[ "$DEVICE" == "rpi" ]]; then
cd 01OS
python -m 01OS.clients.rpi.device
else
cd 01OS
python -m 01OS.clients.macos.device
fi

152
01OS/01OS/server/server.py
Unescape View File

@ -11,7 +11,7 @@ from fastapi import FastAPI
from fastapi.responses import PlainTextResponse
from starlette.websockets import WebSocket, WebSocketDisconnect
from .stt.stt import stt_bytes
from .tts.tts import tts
from .tts.tts import stream_tts
from pathlib import Path
import asyncio
import urllib.parse
@ -19,11 +19,13 @@ from .utils.kernel import put_kernel_messages_into_queue
from .i import configure_interpreter
from interpreter import interpreter
import ngrok
from ..utils.accumulator import Accumulator
from .utils.logs import setup_logging
from .utils.logs import logger
setup_logging()
accumulator = Accumulator()
app = FastAPI()
@ -102,59 +104,94 @@ async def websocket_endpoint(websocket: WebSocket):
except WebSocketDisconnect:
pass
except Exception as e:
traceback.print_exc()
logger.debug(traceback.format_exc())
logger.info(f"Connection lost. Error: {e}")
async def receive_messages(websocket: WebSocket):
while True:
data = await websocket.receive_json()
if data["role"] == "computer":
from_computer.put(data) # To be handled by interpreter.computer.run
elif data["role"] == "user":
await from_user.put(data)
else:
raise("Unknown role:", data)
try:
try:
data = await websocket.receive()
except Exception as e:
print(str(e))
return
if 'text' in data:
try:
data = json.loads(data['text'])
if data["role"] == "computer":
from_computer.put(data) # To be handled by interpreter.computer.run
elif data["role"] == "user":
await from_user.put(data)
else:
raise("Unknown role:", data)
except json.JSONDecodeError:
pass # data is not JSON, leave it as is
elif 'bytes' in data:
data = data['bytes'] # binary data
await from_user.put(data)
except WebSocketDisconnect as e:
if e.code == 1000:
logger.info("Websocket connection closed normally.")
return
else:
raise
async def send_messages(websocket: WebSocket):
while True:
message = await to_device.get()
logger.debug(f"Sending to the device: {type(message)} {message}")
await websocket.send_json(message)
try:
if isinstance(message, dict):
await websocket.send_json(message)
elif isinstance(message, bytes):
await websocket.send_bytes(message)
else:
raise TypeError("Message must be a dict or bytes")
except:
# Make sure to put the message back in the queue if you failed to send it
await to_device.put(message)
raise
async def listener():
audio_bytes = bytearray()
while True:
while True:
if not from_user.empty():
message = await from_user.get()
chunk = await from_user.get()
break
elif not from_computer.empty():
message = from_computer.get()
chunk = from_computer.get()
break
await asyncio.sleep(1)
if type(message) == str:
message = json.loads(message)
# Hold the audio in a buffer. If it's ready (we got end flag, stt it)
if message["type"] == "audio":
if "content" in message:
audio_bytes.extend(bytes(ast.literal_eval(message["content"])))
if "end" in message:
content = stt_bytes(audio_bytes, message["format"])
if content == None: # If it was nothing / silence
continue
audio_bytes = bytearray()
message = {"role": "user", "type": "message", "content": content}
else:
message = accumulator.accumulate(chunk)
if message == None:
# Will be None until we have a full message ready
continue
# print(str(message)[:1000])
# At this point, we have our message
if message["type"] == "audio" and message["format"].startswith("bytes"):
if not message["content"]: # If it was nothing / silence
continue
# Ignore flags, we only needed them for audio ^
if "content" not in message or message["content"] == None:
continue
# Convert bytes to audio file
# Format will be bytes.wav or bytes.opus
mime_type = "audio/" + message["format"].split(".")[1]
text = stt_bytes(message["content"], mime_type)
message = {"role": "user", "type": "message", "content": text}
# At this point, we have only text messages
# Custom stop message will halt us
if message["content"].lower().strip(".,!") == "stop":
if message["content"].lower().strip(".,! ") == "stop":
continue
# Load, append, and save conversation history
@ -175,19 +212,31 @@ async def listener():
# Yield to the event loop, so you actually send it out
await asyncio.sleep(0.01)
# Speak full sentences out loud
if chunk["role"] == "assistant" and "content" in chunk:
accumulated_text += chunk["content"]
sentences = split_into_sentences(accumulated_text)
if is_full_sentence(sentences[-1]):
for sentence in sentences:
await stream_or_play_tts(sentence)
accumulated_text = ""
else:
for sentence in sentences[:-1]:
await stream_or_play_tts(sentence)
accumulated_text = sentences[-1]
if os.getenv('TTS_RUNNER') == "server":
# Speak full sentences out loud
if chunk["role"] == "assistant" and "content" in chunk:
accumulated_text += chunk["content"]
sentences = split_into_sentences(accumulated_text)
# If we're going to speak, say we're going to stop sending text.
# This should be fixed probably, we should be able to do both in parallel, or only one.
if any(is_full_sentence(sentence) for sentence in sentences):
await to_device.put({"role": "assistant", "type": "message", "end": True})
if is_full_sentence(sentences[-1]):
for sentence in sentences:
await stream_tts_to_device(sentence)
accumulated_text = ""
else:
for sentence in sentences[:-1]:
await stream_tts_to_device(sentence)
accumulated_text = sentences[-1]
# If we're going to speak, say we're going to stop sending text.
# This should be fixed probably, we should be able to do both in parallel, or only one.
if any(is_full_sentence(sentence) for sentence in sentences):
await to_device.put({"role": "assistant", "type": "message", "start": True})
# If we have a new message, save our progress and go back to the top
if not from_user.empty():
@ -217,19 +266,12 @@ async def listener():
break
else:
with open(conversation_history_path, 'w') as file:
json.dump(interpreter.messages, file, indent=4)
async def stream_or_play_tts(sentence):
if os.getenv('TTS_RUNNER') == "server":
tts(sentence, play_audio=True)
else:
await to_device.put({"role": "assistant", "type": "audio", "format": "audio/mp3", "start": True})
audio_bytes = tts(sentence, play_audio=False)
await to_device.put({"role": "assistant", "type": "audio", "format": "audio/mp3", "content": str(audio_bytes)})
await to_device.put({"role": "assistant", "type": "audio", "format": "audio/mp3", "end": True})
json.dump(interpreter.messages, file, indent=4)
async def stream_tts_to_device(sentence):
for chunk in stream_tts(sentence):
await to_device.put(chunk)
async def setup_ngrok(ngrok_auth_token, parsed_url):
# Set up Ngrok
logger.info("Setting up Ngrok")

0
01OS/01OS/server/stt/local_service/__init__.py
Unescape View File

10
01OS/01OS/server/stt/local_service/whisper-rust/.gitignore vendored
Unescape View File

@ -1,10 +0,0 @@
# Generated by Cargo
# will have compiled files and executables
debug/
target/
# These are backup files generated by rustfmt
**/*.rs.bk
# MSVC Windows builds of rustc generate these, which store debugging information
*.pdb

1228
01OS/01OS/server/stt/local_service/whisper-rust/Cargo.lock generated
View File

File diff suppressed because it is too large Load Diff

14
01OS/01OS/server/stt/local_service/whisper-rust/Cargo.toml
Unescape View File

@ -1,14 +0,0 @@
[package]
name = "whisper-rust"
version = "0.1.0"
edition = "2021"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[dependencies]
anyhow = "1.0.79"
clap = { version = "4.4.18", features = ["derive"] }
cpal = "0.15.2"
hound = "3.5.1"
whisper-rs = "0.10.0"
whisper-rs-sys = "0.8.0"

7
01OS/01OS/server/stt/local_service/whisper-rust/README.md
Unescape View File

@ -1,7 +0,0 @@
# Setup
To rebuild the `whisper-rust` executable, do the following:
1. Install [Rust](https://www.rust-lang.org/tools/install), cmake, and Python dependencies `pip install -r requirements.txt`.
2. Go to **core/stt** and run `cargo build --release`.
3. Move the `whisper-rust` executable from target/release to this directory.

34
01OS/01OS/server/stt/local_service/whisper-rust/src/main.rs
Unescape View File

@ -1,34 +0,0 @@
mod transcribe;
use clap::Parser;
use std::path::PathBuf;
use transcribe::transcribe;
#[derive(Parser, Debug)]
#[command(author, version, about, long_about = None)]
struct Args {
/// This is the model for Whisper STT
#[arg(short, long, value_parser, required = true)]
model_path: PathBuf,
/// This is the wav audio file that will be converted from speech to text
#[arg(short, long, value_parser, required = true)]
file_path: Option<PathBuf>,
}
fn main() {
let args = Args::parse();
let file_path = match args.file_path {
Some(fp) => fp,
None => panic!("No file path provided")
};
let result = transcribe(&args.model_path, &file_path);
match result {
Ok(transcription) => print!("{}", transcription),
Err(e) => panic!("Error: {}", e),
}
}

64
01OS/01OS/server/stt/local_service/whisper-rust/src/transcribe.rs
Unescape View File

@ -1,64 +0,0 @@
use whisper_rs::{FullParams, SamplingStrategy, WhisperContext, WhisperContextParameters};
use std::path::PathBuf;
/// Transcribes the given audio file using the whisper-rs library.
///
/// # Arguments
/// * `model_path` - Path to Whisper model file
/// * `file_path` - A string slice that holds the path to the audio file to be transcribed.
///
/// # Returns
///
/// A Result containing a String with the transcription if successful, or an error message if not.
pub fn transcribe(model_path: &PathBuf, file_path: &PathBuf) -> Result<String, String> {
let model_path_str = model_path.to_str().expect("Not valid model path");
// Load a context and model
let ctx = WhisperContext::new_with_params(
model_path_str, // Replace with the actual path to the model
WhisperContextParameters::default(),
)
.map_err(|_| "failed to load model")?;
// Create a state
let mut state = ctx.create_state().map_err(|_| "failed to create state")?;
// Create a params object
// Note that currently the only implemented strategy is Greedy, BeamSearch is a WIP
let mut params = FullParams::new(SamplingStrategy::Greedy { best_of: 1 });
// Edit parameters as needed
params.set_n_threads(1); // Set the number of threads to use
params.set_translate(true); // Enable translation
params.set_language(Some("en")); // Set the language to translate to English
// Disable printing to stdout
params.set_print_special(false);
params.set_print_progress(false);
params.set_print_realtime(false);
params.set_print_timestamps(false);
// Load the audio file
let audio_data = std::fs::read(file_path)
.map_err(|e| format!("failed to read audio file: {}", e))?
.chunks_exact(2)
.map(|chunk| i16::from_ne_bytes([chunk[0], chunk[1]]))
.collect::<Vec<i16>>();
// Convert the audio data to the required format (16KHz mono i16 samples)
let audio_data = whisper_rs::convert_integer_to_float_audio(&audio_data);
// Run the model
state.full(params, &audio_data[..]).map_err(|_| "failed to run model")?;
// Fetch the results
let num_segments = state.full_n_segments().map_err(|_| "failed to get number of segments")?;
let mut transcription = String::new();
for i in 0..num_segments {
let segment = state.full_get_segment_text(i).map_err(|_| "failed to get segment")?;
transcription.push_str(&segment);
transcription.push('\n');
}
Ok(transcription)
}

BIN
01OS/01OS/server/stt/local_service/whisper-rust/whisper-rust
View File

Binary file not shown.

0
01OS/01OS/server/tts/local_service/__init__.py
Unescape View File

38
01OS/01OS/server/tts/tts.py
Unescape View File

@ -12,27 +12,28 @@ import os
import subprocess
import tempfile
from pydub import AudioSegment
from pydub.playback import play
import simpleaudio as sa
client = OpenAI()
def tts(text, play_audio):
chunk_size = 1024
def stream_tts(text):
"""
A generator that streams tts as LMC messages.
"""
if os.getenv('ALL_LOCAL') == 'False':
response = client.audio.speech.create(
model="tts-1",
voice="alloy",
input=text,
response_format="mp3"
response_format="opus"
)
with tempfile.NamedTemporaryFile(suffix=".mp3") as temp_file:
with tempfile.NamedTemporaryFile(suffix=".opus") as temp_file:
response.stream_to_file(temp_file.name)
if play_audio:
audio = AudioSegment.from_mp3(temp_file.name)
play_audiosegment(audio)
return temp_file.read()
audio_bytes = temp_file.read()
file_type = "bytes.opus"
else:
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_file:
output_file = temp_file.name
@ -43,13 +44,19 @@ def tts(text, play_audio):
'--output_file', output_file
], input=text, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
if play_audio:
audio = AudioSegment.from_wav(temp_file.name)
play_audiosegment(audio)
return temp_file.read()
audio_bytes = temp_file.read()
file_type = "bytes.wav"
# Stream the audio
yield {"role": "assistant", "type": "audio", "format": file_type, "start": True}
for i in range(0, len(audio_bytes), chunk_size):
chunk = audio_bytes[i:i+chunk_size]
yield chunk
yield {"role": "assistant", "type": "audio", "format": file_type, "end": True}
def play_audiosegment(audio):
"""
UNUSED
the default makes some pops. this fixes that
"""
@ -73,3 +80,6 @@ def play_audiosegment(audio):
# Wait for the playback to finish
play_obj.wait_done()
# Delete the wav file
os.remove("output_audio.wav")

44
01OS/01OS/utils/accumulator.py
Unescape View File

@ -0,0 +1,44 @@
class Accumulator:
def __init__(self):
self.template = {"role": None, "type": None, "format": None, "content": None}
self.message = self.template
def accumulate(self, chunk):
#print(str(chunk)[:100])
if type(chunk) == dict:
if "format" in chunk and chunk["format"] == "active_line":
# We don't do anything with these
return None
if "start" in chunk:
self.message = chunk
self.message.pop("start")
return None
if "content" in chunk:
# Display
print(chunk['content'], end="", flush=True)
if any(self.message[key] != chunk[key] for key in self.message if key != "content"):
self.message = chunk
if "content" not in self.message:
self.message["content"] = chunk["content"]
else:
self.message["content"] += chunk["content"]
return None
if "end" in chunk:
# We will proceed
message = self.message
self.message = self.template
return message
if type(chunk) == bytes:
if "content" not in self.message or type(self.message["content"]) != bytes:
self.message["content"] = b""
self.message["content"] += chunk
return None

2
01OS/_archive/device.py
Unescape View File

@ -122,7 +122,7 @@ def on_press(key):
toggle_recording(True)
def on_release(key):
"""Detect spacebar release and ESC key press."""
"""Detect spacebar release and CTRL-C key press."""
if key == keyboard.Key.space:
toggle_recording(False)
elif key == keyboard.Key.esc:

27
01OS/poetry.lock generated
Unescape View File

@ -1890,6 +1890,31 @@ typing-extensions = ">=4.7,<5"
[package.extras]
datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
[[package]]
name = "opencv-python"
version = "4.9.0.80"
description = "Wrapper package for OpenCV python bindings."
optional = false
python-versions = ">=3.6"
files = [
{file = "opencv-python-4.9.0.80.tar.gz", hash = "sha256:1a9f0e6267de3a1a1db0c54213d022c7c8b5b9ca4b580e80bdc58516c922c9e1"},
{file = "opencv_python-4.9.0.80-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:7e5f7aa4486651a6ebfa8ed4b594b65bd2d2f41beeb4241a3e4b1b85acbbbadb"},
{file = "opencv_python-4.9.0.80-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:71dfb9555ccccdd77305fc3dcca5897fbf0cf28b297c51ee55e079c065d812a3"},
{file = "opencv_python-4.9.0.80-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7b34a52e9da36dda8c151c6394aed602e4b17fa041df0b9f5b93ae10b0fcca2a"},
{file = "opencv_python-4.9.0.80-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4088cab82b66a3b37ffc452976b14a3c599269c247895ae9ceb4066d8188a57"},
{file = "opencv_python-4.9.0.80-cp37-abi3-win32.whl", hash = "sha256:dcf000c36dd1651118a2462257e3a9e76db789a78432e1f303c7bac54f63ef6c"},
{file = "opencv_python-4.9.0.80-cp37-abi3-win_amd64.whl", hash = "sha256:3f16f08e02b2a2da44259c7cc712e779eff1dd8b55fdb0323e8cab09548086c0"},
]
[package.dependencies]
numpy = [
{version = ">=1.21.0", markers = "python_version == \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
{version = ">=1.23.5", markers = "python_version >= \"3.11\""},
{version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
{version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
{version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
]
[[package]]
name = "packaging"
version = "23.2"
@ -3514,4 +3539,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.12"
content-hash = "12ccff8a2521e7eb88eee82cfd3de409fea8e1658406d6148a42f9347ca7b2a7"
content-hash = "5c8d587b405e97c0dca454078950157106f9aea687cbecce5b7ae7effd2aeece"

3
01OS/pyproject.toml
Unescape View File

@ -4,7 +4,7 @@ packages = [
{include = "01OS"},
]
include = [".env.example", "start.py", "start.sh"]
version = "0.0.2"
version = "0.0.3"
description = "The open-source language model computer"
authors = ["Killian <killian@openinterpreter.com>"]
license = "AGPL"
@ -25,6 +25,7 @@ pydub = "^0.25.1"
ngrok = "^1.0.0"
open-interpreter = "^0.2.0"
simpleaudio = "^1.0.4"
opencv-python = "^4.9.0.80"
[build-system]
requires = ["poetry-core"]

5
01OS/start.py
Unescape View File

@ -19,5 +19,8 @@ def main():
command = [os.path.join(dir_path, 'start.sh')] + args
# Start start.sh with the command line arguments
subprocess.run(command, check=True)
try:
subprocess.run(command, check=True)
except KeyboardInterrupt:
print("Exiting...")

12
01OS/start.sh
Unescape View File

@ -54,6 +54,16 @@ if [[ "$@" == *"--expose"* ]]; then
export SERVER_EXPOSE_PUBLICALLY="True"
fi
# Check if "--clear-local" is passed as an argument
if [[ "$@" == *"--clear-local"* ]]; then
# If "--clear-local" is passed, clear the contents of the folders in script_dir/01OS/server/{tts and stt}/local_service
echo "Clearing local services..."
rm -rf "$SCRIPT_DIR/01OS/server/tts/local_service"/*
rm -rf "$SCRIPT_DIR/01OS/server/stt/local_service"/*
echo "Exiting after clearing local services..."
exit 0
fi
### SETUP
if [[ "$ALL_LOCAL" == "True" ]]; then
@ -124,7 +134,7 @@ fi
start_client() {
echo "Starting client..."
bash 01OS/clients/start.sh &
bash $SCRIPT_DIR/01OS/clients/start.sh &
CLIENT_PID=$!
echo "client started as process $CLIENT_PID"
}

Write Preview
Loading…
Cancel
Save