diff --git a/.gitignore b/.gitignore index 0d2089b..ce96081 100644 --- a/.gitignore +++ b/.gitignore @@ -2,10 +2,20 @@ __pycache__/ dist/ glados_tts.egg-info/ *.pyc +.clutter/ audio/* !audio/.gitkeep *.wav +config.py +config.json +config.toml +config.yaml +config.yml +glados.json +glados.toml +glados.yaml +glados.yml *~ .#* diff --git a/README.md b/README.md index d3431e1..bce3736 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,8 @@ Neural network based TTS Engine. ## Description The initial, regular Tacotron model was trained first on LJSpeech, and -then on a heavily modified version of the Ellen McClain dataset (all +then on a heavily modified version of the [Ellen +McClain](https://en.wikipedia.org/wiki/Ellen_McLain) dataset (all non-Portal 2 voice lines removed, punctuation added). * The Forward Tacotron model was only trained on about 600 voice lines. @@ -28,32 +29,16 @@ This fork modernizes and improves the Python code in the project and does a bunc * `[DONE]`: Gets rid of the `SciPy` dependency (replaced with the more modern and lightwight [`pysoundfile`](https://github.com/gooofy/py-espeak-ng) (since all it was used for was writing a `.wav` file to disk) * `[DONE]`: Support modern stable Python 3 versions, and update dependencies. * `[DONE]`: Versioned packages with `poetry` and `pyproject.toml` +* `[DONE]`: Configuration handling with `click`. +* `[DONE]`: Better logging with `loguru` * `[WIP]`: Python coding style and code quality improvements (proper handling of `file` object, improved logging..) -* `[TODO]`: Support Home Assistant through the [`notify` integration](https://www.home-assistant.io/integrations/notify/) -* `[TODO]`: Configuration handling with `click`. -* `[TODO]`: Better logging with `loguru` -* `[TODO]`: Using `waitress` as a WSGI-server for production-capable deployments +* `[WIP]`: Switch to using ASGI with `uvicorn` and `fastapi` instead of Flask and WSGI, and support production-capable deployments as default. * `[TODO]`: Docker support +* `[TODO]`: Support Home Assistant through the [`notify` integration](https://www.home-assistant.io/integrations/notify/) * `[TODO]`: see if its possible to avoid `espeak-ng` as a system package dependency (python bindings, buliding the C library, etc) No work on the speech model itself is expected. -### Home Assistant `notify` service - -configuration in `configuration.yaml` (or a `package/`): - -```yaml -# Enable rest api -api: - -notify: - - name: glados - platform: rest - resource: http://${GLADOS}/notify -``` - -This is roughly how it would work (not done yet). - ## Install First you need to [install the `espeak-ng` system diff --git a/engine_old.py b/engine_old.py new file mode 100644 index 0000000..5706cad --- /dev/null +++ b/engine_old.py @@ -0,0 +1,122 @@ +import sys +import os +import time + +import torch +import soundfile + +from glados_tts.utils.tools import prepare_text + + +print("\033[1;94mINFO:\033[;97m Initializing TTS Engine...") + +# Select the device +if torch.is_vulkan_available(): + device = 'vulkan' +if torch.cuda.is_available(): + device = 'cuda' +else: + device = 'cpu' + +# Load models +if __name__ == "__main__": + glados = torch.jit.load('models/glados.pt') + vocoder = torch.jit.load('models/vocoder-gpu.pt', map_location=device) +else: + glados = torch.jit.load('glados_tts/models/glados.pt') + vocoder = torch.jit.load('glados_tts/models/vocoder-gpu.pt', map_location=device) + +# Prepare models in RAM +for i in range(4): + init = glados.generate_jit(prepare_text(str(i))) + init_mel = init['mel_post'].to(device) + init_vo = vocoder(init_mel) + + +def glados_tts(text, key=False): + + # Tokenize, clean and phonemize input text + x = prepare_text(text).to('cpu') + + with torch.no_grad(): + + # Generate generic TTS-output + old_time = time.time() + tts_output = glados.generate_jit(x) + + # Use HiFiGAN as vocoder to make output sound like GLaDOS + mel = tts_output['mel_post'].to(device) + audio = vocoder(mel) + print("\033[1;94mINFO:\033[;97m The audio sample took " + + str(round((time.time() - old_time) * 1000)) + " ms to generate.") + + # Normalize audio to fit in wav-file + audio = audio.squeeze() + audio = audio * 32768.0 + audio = audio.cpu().numpy().astype('int16') + if (key): + output_file = ('audio/GLaDOS-tts-temp-output-'+key+'.wav') + else: + output_file = ('audio/GLaDOS-tts-temp-output.wav') + + # Write audio file to disk + # 22,05 kHz sample rate + soundfile.write(output_file, audio, 22050) + + return True + + +def main(): + # Remote Engine Veritables + PORT = 8124 + CACHE = True + + from flask import Flask, request, send_file + import urllib.parse + import shutil + + print("\033[1;94mINFO:\033[;97m Initializing TTS Server...") + + app = Flask(__name__) + + @app.route('/synthesize/', defaults={'text': ''}) + @app.route('/synthesize/') + def synthesize(text): + if (text == ''): + return 'No input' + + line = urllib.parse.unquote(request.url[request.url.find('synthesize/')+11:]) + filename = "GLaDOS-tts-"+line.replace(" ", "-") + filename = filename.replace("!", "") + filename = filename.replace("°c", "degrees celcius") + filename = filename.replace(",", "")+".wav" + file = os.getcwd()+'/audio/'+filename + + # Check for Local Cache + if (os.path.isfile(file)): + + # Update access time. This will allow for routine cleanups + os.utime(file, None) + print("\033[1;94mINFO:\033[;97m The audio sample sent from cache.") + return send_file(file) + + # Generate New Sample + key = str(time.time())[7:] + if (glados_tts(line, key)): + tempfile = os.getcwd()+'/audio/GLaDOS-tts-temp-output-'+key+'.wav' + + # If the line isn't too long, store in cache + if (len(line) < 200 and CACHE): + shutil.move(tempfile, file) + else: + return send_file(tempfile) + os.remove(tempfile) + + return send_file(file) + + else: + return 'TTS Engine Failed' + + cli = sys.modules['flask.cli'] + cli.show_server_banner = lambda *x: None + app.run(host="0.0.0.0", port=PORT) diff --git a/glados_tts/config.py b/glados_tts/config.py new file mode 100644 index 0000000..9ae4332 --- /dev/null +++ b/glados_tts/config.py @@ -0,0 +1,10 @@ +# restapi + +port = 8124 +cache = True +base_url = "/glados/tts" + +# tts + +audio_dir = "audio/" +fname_prefix = "GLaDOS-tts" diff --git a/glados_tts/engine.py b/glados_tts/engine.py index 5706cad..cb84a99 100644 --- a/glados_tts/engine.py +++ b/glados_tts/engine.py @@ -1,122 +1,214 @@ -import sys +import io import os -import time +import hashlib +from time import time +from functools import lru_cache +from datetime import datetime +from typing import Optional import torch import soundfile +from loguru import logger +from pydantic import BaseModel, Field, FilePath -from glados_tts.utils.tools import prepare_text +from glados_tts.utils import tools -print("\033[1;94mINFO:\033[;97m Initializing TTS Engine...") +class GLaDOSTTSAudioModel(BaseModel): + from_cache: str = False + text: str + audiofile_name: str + audiofile_path: Optional[FilePath] + audiofile_timestamp: datetime -# Select the device -if torch.is_vulkan_available(): - device = 'vulkan' -if torch.cuda.is_available(): - device = 'cuda' -else: - device = 'cpu' -# Load models -if __name__ == "__main__": - glados = torch.jit.load('models/glados.pt') - vocoder = torch.jit.load('models/vocoder-gpu.pt', map_location=device) -else: - glados = torch.jit.load('glados_tts/models/glados.pt') - vocoder = torch.jit.load('glados_tts/models/vocoder-gpu.pt', map_location=device) +class GLaDOSError(Exception): + pass -# Prepare models in RAM -for i in range(4): - init = glados.generate_jit(prepare_text(str(i))) - init_mel = init['mel_post'].to(device) - init_vo = vocoder(init_mel) +class GLaDOSInputError(GLaDOSError): + pass -def glados_tts(text, key=False): - # Tokenize, clean and phonemize input text - x = prepare_text(text).to('cpu') +class GLaDOS: + def __init__(self): + self.started = False + self.models_loaded = False - with torch.no_grad(): + self.device = self._select_device() + logger.debug(f"selected device: '{self.device}'") - # Generate generic TTS-output - old_time = time.time() - tts_output = glados.generate_jit(x) + self.audio_dir = "" + self.fname_prefix = "" + self.audio_format = "" - # Use HiFiGAN as vocoder to make output sound like GLaDOS - mel = tts_output['mel_post'].to(device) - audio = vocoder(mel) - print("\033[1;94mINFO:\033[;97m The audio sample took " + - str(round((time.time() - old_time) * 1000)) + " ms to generate.") - - # Normalize audio to fit in wav-file - audio = audio.squeeze() - audio = audio * 32768.0 - audio = audio.cpu().numpy().astype('int16') - if (key): - output_file = ('audio/GLaDOS-tts-temp-output-'+key+'.wav') + # 22,05 kHz sample rate + # TODO: should sample rate be a config value? + self.sample_rate_khz = int(22050) + + def start(self, audio_dir, audio_format="mp3", fname_prefix="GLaDOS-", delay_generate_models=True): + logger.debug(f"starting GLaDOS (dir: '{audio_dir}', prefix: {fname_prefix}, format: {audio_format})") + self.audio_dir = audio_dir + self.fname_prefix = fname_prefix + self.audio_format = audio_format.lower() + + # TODO: fix relative paths + self.glados = torch.jit.load('glados_tts/models/glados.pt') + self.vocoder = torch.jit.load('glados_tts/models/vocoder-gpu.pt', map_location=self.device) + + if delay_generate_models: + logger.info("models are not loaded and will be generated on the first request") + self.models_loaded = False else: - output_file = ('audio/GLaDOS-tts-temp-output.wav') + self._generate_models() + self.models_loaded = True + self.started = True + + + @classmethod + @lru_cache() + def get(cls): + logger.success("you got me") + return cls() + + def get_tts_path(self, fname): + return os.path.join(self.audio_dir, fname) + + def _generate_models(self): + logger.info("generating models") + # TODO: why 4? + for i in range(4): + prepared = tools.prepare_text(str(i)) + init = self.glados.generate_jit(prepared) + init_mel = init['mel_post'].to(self.device) + init_vo = self.vocoder(init_mel) + + def _prepare_text(f): + def wrapped(self, text, *args, **kwargs): + text_tensor = tools.prepare_text(text) + return f(self, text, text_tensor, *args, **kwargs) + return wrapped + + def _select_device(self): + if torch.is_vulkan_available(): + return 'vulkan' + elif torch.cuda.is_available(): + return 'cuda' + else: + return 'cpu' - # Write audio file to disk - # 22,05 kHz sample rate - soundfile.write(output_file, audio, 22050) + def _to_alnum(self, s): + return "".join([a for a in s.replace(" ", "_") if a.isalnum() or a == "_"]) + + def _short_name(self, text): + """generate a "short name" for the input string. this gets used in log + messages (to keep them meaningful and easy to read), as well + as audio filenames. + + this is just a convenience method to get the first 7 words + (since it gets called in multiple places, also ensures + consistency) + + """ + + return " ".join(text.split(" ")[:7]) + + def _make_fname(self, text): + """use the same "short name" as we do in logs, but only keeping alphanumeric + characters and replacing whitespaces, for filesystem friendlyness. + + then we hash the full input string, and use the hex string for + the hash to guarantee unique filenames. + + since we arent hashing for cryptographic reasons, i picked + BLAKE2s with 20-bytes, somewhat arbitrarily, mostly because + it's hex string is relatively short (nice for the filenames). + + the filename is structured as follows: + ${CONFIG_FNAME_PREFIX}_${SHORT_ALNUM_NAME}_${HASH}.${EXTENSION} + + """ - return True + text_name = self._short_name(text) + base_fname = self._to_alnum(text_name) + h = hashlib.blake2b(digest_size=20) + h.update(text.encode()) -def main(): - # Remote Engine Veritables - PORT = 8124 - CACHE = True + fname = f"{self.fname_prefix}_{base_fname}_{h.hexdigest()}.{self.audio_format}" - from flask import Flask, request, send_file - import urllib.parse - import shutil + return fname - print("\033[1;94mINFO:\033[;97m Initializing TTS Server...") + @_prepare_text + def tts_generate_audio(self, text, text_tensor): + if not self.models_loaded: + self._generate_models() - app = Flask(__name__) + t0 = time() + t_name = self._short_name(text) + logger.debug(f"generating audio for text: '{text}'") - @app.route('/synthesize/', defaults={'text': ''}) - @app.route('/synthesize/') - def synthesize(text): - if (text == ''): - return 'No input' + with torch.no_grad(): + # Generate generic TTS-output + tts_output = self.glados.generate_jit(text_tensor.to(self.device)) - line = urllib.parse.unquote(request.url[request.url.find('synthesize/')+11:]) - filename = "GLaDOS-tts-"+line.replace(" ", "-") - filename = filename.replace("!", "") - filename = filename.replace("°c", "degrees celcius") - filename = filename.replace(",", "")+".wav" - file = os.getcwd()+'/audio/'+filename + # Use HiFiGAN as vocoder to make output sound like GLaDOS + mel = tts_output['mel_post'].to(self.device) + audio = self.vocoder(mel) - # Check for Local Cache - if (os.path.isfile(file)): + logger.info(f"time to generate audio for '{t_name}': {round(time()-t0, 2)}s") - # Update access time. This will allow for routine cleanups - os.utime(file, None) - print("\033[1;94mINFO:\033[;97m The audio sample sent from cache.") - return send_file(file) + # Normalize audio to fit in file + audio = audio.squeeze() * 32768.0 + return audio.cpu().numpy().astype('int16') - # Generate New Sample - key = str(time.time())[7:] - if (glados_tts(line, key)): - tempfile = os.getcwd()+'/audio/GLaDOS-tts-temp-output-'+key+'.wav' - # If the line isn't too long, store in cache - if (len(line) < 200 and CACHE): - shutil.move(tempfile, file) - else: - return send_file(tempfile) - os.remove(tempfile) - return send_file(file) + def tts_audio_to_file(self, text, use_cache=True): + """generates the audio, writes it to a file and returns the path to + the file. + + if a file for the string 'text' exists, that will be used instead of generating + a new file, unless use_cache=False is set + + """ + + fname = self._make_fname(text) + audiofile_path = os.path.join(self.audio_dir, fname) + + if use_cache and os.path.exists(audiofile_path): + from_cache = True + # update access time + os.utime(audiofile_path) + logger.debug(f"cached: '{fname}'") else: - return 'TTS Engine Failed' + from_cache = False + # generate the audio + audio = self.tts_generate_audio(text) + with open(audiofile_path, 'wb') as f: + soundfile.write(f, audio, self.sample_rate_khz, format=self.audio_format) + + logger.debug(f"wrote file: '{fname}'") + + audiofile_timestamp = os.stat(audiofile_path).st_ctime + return GLaDOSTTSAudioModel( + from_cache=from_cache, + text=text, + audiofile_name=fname, + audiofile_timestamp=audiofile_timestamp + ) + + + + def say(self, text, use_cache=True): + """shorthand function for Text-to-Speech. + + """ + + if not len(text) > 0: + raise GLaDOSInputError("input must not be empty") + + logger.info(f"input: '{text}'") - cli = sys.modules['flask.cli'] - cli.show_server_banner = lambda *x: None - app.run(host="0.0.0.0", port=PORT) + return self.tts_audio_to_file(text, use_cache=use_cache) diff --git a/glados_tts/gladosctl.py b/glados_tts/gladosctl.py new file mode 100644 index 0000000..4d1c19b --- /dev/null +++ b/glados_tts/gladosctl.py @@ -0,0 +1,138 @@ +import sys +import json +import os + +from soundfile import available_formats as audio_available_formats +from loguru import logger +import click +from click_help_colors import HelpColorsGroup, HelpColorsCommand, version_option +import uvicorn + +import glados_tts +import glados_tts.restapi +from glados_tts.engine import GLaDOS + + +DEFAULT_GLADOS_CONFIG = "glados.json" +CONTEXT_SETTINGS = { + "max_content_width": 200, + "terminal_width": 120, + "auto_envvar_prefix": "GLADOS", + "show_default": True, + "color": True, + # gets populated by GladosConfig.read_config_file, and in turn + # populates/overwrites default values of cmdline options, working + # as a way to use a config file + "default_map": {} +} + +def read_config_file(ctx, param, value): + print("read_config_file callback") + try: + with open(value, 'r') as f: + config = json.load(f) + ctx.default_map.update(config) + except FileNotFoundError: + logger.error(f"file not found: '{value}', no config file loaded") + config = {} + + return value + + +@click.group( + cls=HelpColorsGroup, + context_settings=CONTEXT_SETTINGS, + invoke_without_command=False, + help_headers_color="yellow", + help_options_color="green", +) +@click.help_option(is_eager=True) +@click.option( + "-c", "--config", + type=click.Path(dir_okay=False), + help="read config options from file\n", + callback=read_config_file, + is_eager=True, + expose_value=False, + show_envvar=True, + show_default=True, + default=DEFAULT_GLADOS_CONFIG +) +@click.option( + "--debug/--no-debug", + show_envvar=True, + default=False +) +@click.option( + "--log-level", + show_envvar=True, + default="INFO" +) +@click.option( + "--audio-dir", + type=click.Path(dir_okay=True), + help="where generated audiofiles get saved", + default="audio/", + show_default=True, + show_envvar=True +) +@click.option( + "--audio-format", + type=click.Choice(audio_available_formats(), case_sensitive=False), + default="mp3", + show_envvar=True, + show_default=True +) +@click.option( + "--fname-prefix", + help="saved audio files are prefixed with this string", + default="GLaDOS-tts", + show_envvar=True +) +@click.option( + "--env", type=click.Choice(['dev', 'prod']), + default="prod", + show_envvar=True, + show_default=True, + required=True +) +@version_option( + prog_name=glados_tts.__name__, + version=glados_tts.__version__, + version_color="yellow", + prog_name_color="green" +) +@click.pass_context +def cli(ctx, *args, **kwargs): + ctx.meta.update(ctx.params) + + glados = GLaDOS.get() + glados.start(kwargs['audio_dir'], kwargs['audio_format'], kwargs['fname_prefix']) + + +@cli.command(name="restapi") +@click.option("--host", default="127.0.0.1", show_envvar=True, show_default=True) +@click.option("--port", default="8124", type=int, show_envvar=True, show_default=True) +@click.option("--root-path", default="", show_envvar=True, show_default=True) +@click.option("--forwarded-allow-ips", default="127.0.0.1", show_envvar=True, show_default=True) +@click.option("--workers", default=1, show_envvar=True, show_default=True) +@click.pass_context +def cli_gladosapi(ctx, host, port, root_path, forwarded_allow_ips, workers): + config = uvicorn.Config( + "glados_tts.restapi:create_app", + host=host, + port=port, + root_path=root_path, + log_level=ctx.meta.get("log_level").lower(), + proxy_headers=True, + forwarded_allow_ips=forwarded_allow_ips, + workers=workers, + factory=True + ) + server = uvicorn.Server(config) + server.run() + + +def main(): + # load config and stuff here? + cli() diff --git a/glados_tts/restapi.py b/glados_tts/restapi.py new file mode 100644 index 0000000..7f51dec --- /dev/null +++ b/glados_tts/restapi.py @@ -0,0 +1,58 @@ +from enum import Enum +from typing import Literal, Any, Annotated + +from fastapi import FastAPI, Request, Query, Path +from pydantic import BaseModel, Field, Required +from loguru import logger + +from glados_tts.engine import GLaDOS, GLaDOSTTSAudioModel +import glados_tts.engine + +class HealthStatus(Enum): + HEALTHY = "healthy" + UNHEALTHY = "unhealthy" + +class Health(BaseModel): + status: Literal['healthy', 'unhealthy'] + +class Index(BaseModel): + info: str + root_path: str + +class GLaDOSResponse(BaseModel): + text: str + +query_text = Query(title="Text-to-speech", description="The text that GLaDOS should speak") +query_cache = Query( + title="cache enabled", + description="use the cache of previously generated audio, or force the TTS engine to always generate new audio" +) + + + +logger.info("hello from restapi") + +def create_app(): + logger.info("creating app") + app = FastAPI() + glados = GLaDOS.get() + + @app.get("/", response_model=Index) + async def index(request: Request): + root_path = request.scope.get("root_path") + + return {"info": "GLaDOS tts", "root_path": root_path or ""} + + @app.get("/health") + async def health() -> Health: + #return Health(status=HealthStatus.HEALTHY) + return Health(status="healthy") + + + @app.get("/say") + async def say(text: Annotated[str, query_text], use_cache: Annotated[bool, query_cache] = True) -> GLaDOSTTSAudioModel: + r = glados.say(text, use_cache=use_cache) + return r + + + return app diff --git a/glados_tts/utils/cleaners.py b/glados_tts/utils/cleaners.py index 87bfc0b..eba0508 100644 --- a/glados_tts/utils/cleaners.py +++ b/glados_tts/utils/cleaners.py @@ -7,6 +7,7 @@ from glados_tts.utils.numbers import normalize_numbers from glados_tts.utils.symbols import phonemes_set + # Regular expression matching whitespace: _whitespace_re = re.compile(r'\s+') @@ -68,25 +69,24 @@ def english_cleaners(text): def to_phonemes(text: str, lang: str) -> str: - phonemes = phonemize(text, - language=lang, - backend='espeak', - strip=True, - preserve_punctuation=True, - with_stress=False, - njobs=1, - punctuation_marks=';:,.!?¡¿—…"«»“”()', - language_switch='remove-flags') + phonemes = phonemize( + text, + language=lang, + backend='espeak', + strip=True, + preserve_punctuation=True, + with_stress=False, + njobs=1, + punctuation_marks=';:,.!?¡¿—…"«»“”()', + language_switch='remove-flags' + ) phonemes = ''.join([p for p in phonemes if p in phonemes_set]) return phonemes class Cleaner: - def __init__(self, - cleaner_name: str, - use_phonemes: bool, - lang: str) -> None: + def __init__(self, cleaner_name: str, use_phonemes: bool, lang: str) -> None: if cleaner_name == 'english_cleaners': self.clean_func = english_cleaners elif cleaner_name == 'no_cleaners': diff --git a/poetry.lock b/poetry.lock index bc27881..cb790c8 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,18 +1,34 @@ +[[package]] +name = "anyio" +version = "3.6.2" +description = "High level compatibility layer for multiple asynchronous event loop implementations" +category = "main" +optional = false +python-versions = ">=3.6.2" + +[package.dependencies] +idna = ">=2.8" +sniffio = ">=1.1" + +[package.extras] +doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] +test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"] +trio = ["trio (>=0.16,<0.22)"] + [[package]] name = "attrs" -version = "22.2.0" +version = "23.1.0" description = "Classes Without Boilerplate" category = "main" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" [package.extras] -cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"] -dev = ["attrs[docs,tests]"] -docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"] -tests = ["attrs[tests-no-zope]", "zope.interface"] -tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=0.971,<0.990)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -tests_no_zope = ["cloudpickle", "hypothesis", "mypy (>=0.971,<0.990)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +cov = ["attrs[tests]", "coverage[toml] (>=5.3)"] +dev = ["attrs[docs,tests]", "pre-commit"] +docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"] +tests = ["attrs[tests-no-zope]", "zope-interface"] +tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] [[package]] name = "autopep8" @@ -36,7 +52,7 @@ python-versions = ">=3.7" [[package]] name = "certifi" -version = "2022.12.7" +version = "2023.5.7" description = "Python package for providing Mozilla's CA Bundle." category = "main" optional = false @@ -72,6 +88,20 @@ python-versions = ">=3.7" [package.dependencies] colorama = {version = "*", markers = "platform_system == \"Windows\""} +[[package]] +name = "click-help-colors" +version = "0.9.1" +description = "Colorization of help messages in Click" +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +click = ">=7.0,<9" + +[package.extras] +dev = ["pytest"] + [[package]] name = "clldutils" version = "3.19.0" @@ -95,17 +125,6 @@ dev = ["build", "flake8", "twine", "wheel"] doc = ["sphinx", "sphinx-autodoc-typehints", "sphinx-rtd-theme"] test = ["pytest (>=5)", "pytest-cov", "pytest-mock", "tox"] -[[package]] -name = "cmake" -version = "3.26.3" -description = "CMake is an open-source, cross-platform family of tools designed to build, test and package software" -category = "main" -optional = false -python-versions = "*" - -[package.extras] -test = ["codecov (>=2.0.5)", "coverage (>=4.2)", "flake8 (>=3.0.4)", "path.py (>=11.5.0)", "pytest (>=3.0.3)", "pytest-cov (>=2.4.0)", "pytest-runner (>=2.9)", "pytest-virtualenv (>=1.7.0)", "scikit-build (>=0.10.0)", "setuptools (>=28.0.0)", "virtualenv (>=15.0.3)", "wheel"] - [[package]] name = "colorama" version = "0.4.6" @@ -173,17 +192,35 @@ python-versions = ">=3.7" [package.extras] test = ["pytest (>=6)"] +[[package]] +name = "fastapi" +version = "0.95.1" +description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +pydantic = ">=1.6.2,<1.7 || >1.7,<1.7.1 || >1.7.1,<1.7.2 || >1.7.2,<1.7.3 || >1.7.3,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0" +starlette = ">=0.26.1,<0.27.0" + +[package.extras] +all = ["email-validator (>=1.1.1)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] +dev = ["pre-commit (>=2.17.0,<3.0.0)", "ruff (==0.0.138)", "uvicorn[standard] (>=0.12.0,<0.21.0)"] +doc = ["mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-markdownextradata-plugin (>=0.1.7,<0.3.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pyyaml (>=5.3.1,<7.0.0)", "typer-cli (>=0.0.13,<0.0.14)", "typer[all] (>=0.6.1,<0.8.0)"] +test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==23.1.0)", "coverage[toml] (>=6.5.0,<8.0)", "databases[sqlite] (>=0.3.2,<0.7.0)", "email-validator (>=1.1.1,<2.0.0)", "flask (>=1.1.2,<3.0.0)", "httpx (>=0.23.0,<0.24.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.982)", "orjson (>=3.2.1,<4.0.0)", "passlib[bcrypt] (>=1.7.2,<2.0.0)", "peewee (>=3.13.3,<4.0.0)", "pytest (>=7.1.3,<8.0.0)", "python-jose[cryptography] (>=3.3.0,<4.0.0)", "python-multipart (>=0.0.5,<0.0.7)", "pyyaml (>=5.3.1,<7.0.0)", "ruff (==0.0.138)", "sqlalchemy (>=1.3.18,<1.4.43)", "types-orjson (==3.6.2)", "types-ujson (==5.7.0.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,<6.0.0)"] + [[package]] name = "filelock" -version = "3.11.0" +version = "3.12.0" description = "A platform independent file lock." category = "main" optional = false python-versions = ">=3.7" [package.extras] -docs = ["furo (>=2023.3.27)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"] -testing = ["covdefaults (>=2.3)", "coverage (>=7.2.2)", "diff-cover (>=7.5)", "pytest (>=7.2.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)", "pytest-timeout (>=2.1)"] +docs = ["furo (>=2023.3.27)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.23,!=1.23.4)"] +testing = ["covdefaults (>=2.3)", "coverage (>=7.2.3)", "diff-cover (>=7.5)", "pytest (>=7.3.1)", "pytest-cov (>=4)", "pytest-mock (>=3.10)", "pytest-timeout (>=2.1)"] [[package]] name = "flake8" @@ -199,23 +236,23 @@ pycodestyle = ">=2.10.0,<2.11.0" pyflakes = ">=3.0.0,<3.1.0" [[package]] -name = "Flask" -version = "2.2.3" -description = "A simple framework for building complex web applications." +name = "h11" +version = "0.14.0" +description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" category = "main" optional = false python-versions = ">=3.7" -[package.dependencies] -click = ">=8.0" -importlib-metadata = {version = ">=3.6.0", markers = "python_version < \"3.10\""} -itsdangerous = ">=2.0" -Jinja2 = ">=3.0" -Werkzeug = ">=2.2.2" +[[package]] +name = "httptools" +version = "0.5.0" +description = "A collection of framework independent HTTP protocol utils." +category = "main" +optional = false +python-versions = ">=3.5.0" [package.extras] -async = ["asgiref (>=3.2)"] -dotenv = ["python-dotenv"] +test = ["Cython (>=0.29.24,<0.30.0)"] [[package]] name = "idna" @@ -227,7 +264,7 @@ python-versions = ">=3.5" [[package]] name = "importlib-metadata" -version = "6.3.0" +version = "6.6.0" description = "Read metadata from Python packages" category = "main" optional = false @@ -289,14 +326,6 @@ pipfile-deprecated-finder = ["pip-shims (>=0.5.2)", "pipreqs", "requirementslib" plugins = ["setuptools"] requirements-deprecated-finder = ["pip-api", "pipreqs"] -[[package]] -name = "itsdangerous" -version = "2.1.2" -description = "Safely pass data to untrusted environments and back." -category = "main" -optional = false -python-versions = ">=3.7" - [[package]] name = "Jinja2" version = "3.1.2" @@ -343,14 +372,6 @@ category = "main" optional = false python-versions = "*" -[[package]] -name = "lit" -version = "16.0.1" -description = "A Software Testing Tool" -category = "main" -optional = false -python-versions = "*" - [[package]] name = "loguru" version = "0.7.0" @@ -441,139 +462,15 @@ test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"] [[package]] name = "numpy" -version = "1.24.2" +version = "1.24.3" description = "Fundamental package for array computing in Python" category = "main" optional = false python-versions = ">=3.8" -[[package]] -name = "nvidia-cublas-cu11" -version = "11.10.3.66" -description = "CUBLAS native runtime libraries" -category = "main" -optional = false -python-versions = ">=3" - -[package.dependencies] -setuptools = "*" -wheel = "*" - -[[package]] -name = "nvidia-cuda-cupti-cu11" -version = "11.7.101" -description = "CUDA profiling tools runtime libs." -category = "main" -optional = false -python-versions = ">=3" - -[package.dependencies] -setuptools = "*" -wheel = "*" - -[[package]] -name = "nvidia-cuda-nvrtc-cu11" -version = "11.7.99" -description = "NVRTC native runtime libraries" -category = "main" -optional = false -python-versions = ">=3" - -[package.dependencies] -setuptools = "*" -wheel = "*" - -[[package]] -name = "nvidia-cuda-runtime-cu11" -version = "11.7.99" -description = "CUDA Runtime native Libraries" -category = "main" -optional = false -python-versions = ">=3" - -[package.dependencies] -setuptools = "*" -wheel = "*" - -[[package]] -name = "nvidia-cudnn-cu11" -version = "8.5.0.96" -description = "cuDNN runtime libraries" -category = "main" -optional = false -python-versions = ">=3" - -[package.dependencies] -setuptools = "*" -wheel = "*" - -[[package]] -name = "nvidia-cufft-cu11" -version = "10.9.0.58" -description = "CUFFT native runtime libraries" -category = "main" -optional = false -python-versions = ">=3" - -[[package]] -name = "nvidia-curand-cu11" -version = "10.2.10.91" -description = "CURAND native runtime libraries" -category = "main" -optional = false -python-versions = ">=3" - -[package.dependencies] -setuptools = "*" -wheel = "*" - -[[package]] -name = "nvidia-cusolver-cu11" -version = "11.4.0.1" -description = "CUDA solver native runtime libraries" -category = "main" -optional = false -python-versions = ">=3" - -[package.dependencies] -setuptools = "*" -wheel = "*" - -[[package]] -name = "nvidia-cusparse-cu11" -version = "11.7.4.91" -description = "CUSPARSE native runtime libraries" -category = "main" -optional = false -python-versions = ">=3" - -[package.dependencies] -setuptools = "*" -wheel = "*" - -[[package]] -name = "nvidia-nccl-cu11" -version = "2.14.3" -description = "NVIDIA Collective Communication Library (NCCL) Runtime" -category = "main" -optional = false -python-versions = ">=3" - -[[package]] -name = "nvidia-nvtx-cu11" -version = "11.7.91" -description = "NVIDIA Tools Extension" -category = "main" -optional = false -python-versions = ">=3" - -[package.dependencies] -setuptools = "*" -wheel = "*" - [[package]] name = "packaging" -version = "23.0" +version = "23.1" description = "Core utilities for Python packages" category = "dev" optional = false @@ -715,7 +612,7 @@ numpy = ["numpy"] [[package]] name = "pytest" -version = "7.3.0" +version = "7.3.1" description = "pytest: simple powerful testing with Python" category = "dev" optional = false @@ -743,6 +640,25 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" [package.dependencies] six = ">=1.5" +[[package]] +name = "python-dotenv" +version = "1.0.0" +description = "Read key-value pairs from a .env file and set them as environment variables" +category = "main" +optional = false +python-versions = ">=3.8" + +[package.extras] +cli = ["click (>=5.0)"] + +[[package]] +name = "PyYAML" +version = "6.0" +description = "YAML parser and emitter for Python" +category = "main" +optional = false +python-versions = ">=3.6" + [[package]] name = "rdflib" version = "6.3.2" @@ -763,25 +679,25 @@ networkx = ["networkx (>=2.0.0,<3.0.0)"] [[package]] name = "regex" -version = "2023.3.23" +version = "2023.5.5" description = "Alternative regular expression module, to replace re." category = "main" optional = false -python-versions = ">=3.8" +python-versions = ">=3.6" [[package]] name = "requests" -version = "2.28.2" +version = "2.30.0" description = "Python HTTP for Humans." category = "main" optional = false -python-versions = ">=3.7, <4" +python-versions = ">=3.7" [package.dependencies] certifi = ">=2017.4.17" charset-normalizer = ">=2,<4" idna = ">=2.5,<4" -urllib3 = ">=1.21.1,<1.27" +urllib3 = ">=1.21.1,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] @@ -816,29 +732,53 @@ dev = ["flake8", "twine", "wheel"] test = ["pytest (>=5)", "pytest-cov", "pytest-mock"] [[package]] -name = "setuptools" -version = "67.6.1" -description = "Easily download, build, install, upgrade, and uninstall Python packages" +name = "six" +version = "1.16.0" +description = "Python 2 and 3 compatibility utilities" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" + +[[package]] +name = "sniffio" +version = "1.3.0" +description = "Sniff out which async library your code is running under" category = "main" optional = false python-versions = ">=3.7" +[[package]] +name = "soundfile" +version = "0.12.1" +description = "An audio library based on libsndfile, CFFI and NumPy" +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +cffi = ">=1.0" + [package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"] -testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] -testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] +numpy = ["numpy"] [[package]] -name = "six" -version = "1.16.0" -description = "Python 2 and 3 compatibility utilities" +name = "starlette" +version = "0.26.1" +description = "The little ASGI library that shines." category = "main" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" +python-versions = ">=3.7" + +[package.dependencies] +anyio = ">=3.4.0,<5" +typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""} + +[package.extras] +full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"] [[package]] name = "sympy" -version = "1.11.1" +version = "1.12" description = "Computer algebra system (CAS) in Python" category = "main" optional = false @@ -868,7 +808,7 @@ python-versions = ">=3.7" [[package]] name = "torch" -version = "2.0.0" +version = "2.0.1" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" category = "main" optional = false @@ -878,42 +818,12 @@ python-versions = ">=3.8.0" filelock = "*" jinja2 = "*" networkx = "*" -nvidia-cublas-cu11 = {version = "11.10.3.66", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cuda-cupti-cu11 = {version = "11.7.101", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cuda-nvrtc-cu11 = {version = "11.7.99", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cuda-runtime-cu11 = {version = "11.7.99", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cudnn-cu11 = {version = "8.5.0.96", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cufft-cu11 = {version = "10.9.0.58", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-curand-cu11 = {version = "10.2.10.91", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cusolver-cu11 = {version = "11.4.0.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cusparse-cu11 = {version = "11.7.4.91", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-nccl-cu11 = {version = "2.14.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-nvtx-cu11 = {version = "11.7.91", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} sympy = "*" -triton = {version = "2.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} typing-extensions = "*" [package.extras] opt-einsum = ["opt-einsum (>=3.3)"] -[[package]] -name = "triton" -version = "2.0.0" -description = "A language and compiler for custom Deep Learning operations" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -cmake = "*" -filelock = "*" -lit = "*" -torch = "*" - -[package.extras] -tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"] -tutorials = ["matplotlib", "pandas", "tabulate"] - [[package]] name = "typing-extensions" version = "4.5.0" @@ -940,41 +850,71 @@ python-versions = ">=3.6" [[package]] name = "urllib3" -version = "1.26.15" +version = "2.0.2" description = "HTTP library with thread-safe connection pooling, file post, and more." category 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