mirror of
https://github.com/BoardWare-Genius/jarvis-models.git
synced 2025-12-13 16:53:24 +00:00
fix: singleton
This commit is contained in:
58
main.py
58
main.py
@ -1,60 +1,4 @@
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from typing import Annotated, Union
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from fastapi import FastAPI, Request, status, Form
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from fastapi.responses import JSONResponse
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from src.dotchain.runtime.interpreter import program_parser
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from src.dotchain.runtime.tokenizer import Tokenizer
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from src.dotchain.runtime.runtime import Runtime
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from src.blackbox.blackbox_factory import BlackboxFactory
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import uvicorn
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from fastapi.middleware.cors import CORSMiddleware
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from injector import Injector
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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injector = Injector()
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blackbox_factory = injector.get(BlackboxFactory)
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@app.post("/")
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async def blackbox(blackbox_name: Union[str, None] = None, request: Request = None):
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if not blackbox_name:
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return await JSONResponse(content={"error": "blackbox_name is required"}, status_code=status.HTTP_400_BAD_REQUEST)
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try:
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box = blackbox_factory.create_blackbox(blackbox_name)
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except ValueError:
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return await JSONResponse(content={"error": "value error"}, status_code=status.HTTP_400_BAD_REQUEST)
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return await box.fast_api_handler(request)
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def read_form_image(request: Request):
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async def inner(field: str):
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print(field)
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return "image"
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return inner
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def read_form_text(request: Request):
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def inner(field: str):
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print(field)
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return "text"
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return inner
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@app.post("/workflows")
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async def workflows(script: Annotated[str, Form()], request: Request=None):
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dsl_runtime = Runtime(exteral_fun={"print": print,
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'read_form_image': read_form_image(request),
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"read_form_text": read_form_text(request)})
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t = Tokenizer()
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t.init(script)
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ast = program_parser(t)
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ast.exec(dsl_runtime)
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if __name__ == "__main__":
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uvicorn.run("main:app", host="0.0.0.0", port=8000, log_level="info")
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uvicorn.run("router:app", host="0.0.0.0", port=8000, log_level="info")
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35
router.py
Normal file
35
router.py
Normal file
@ -0,0 +1,35 @@
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from typing import Annotated, Union
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from fastapi import FastAPI, Request, status, Form
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from fastapi.responses import JSONResponse
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from src.dotchain.runtime.interpreter import program_parser
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from src.dotchain.runtime.tokenizer import Tokenizer
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from src.dotchain.runtime.runtime import Runtime
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from src.blackbox.blackbox_factory import BlackboxFactory
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import uvicorn
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from fastapi.middleware.cors import CORSMiddleware
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from injector import Injector
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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injector = Injector()
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blackbox_factory = injector.get(BlackboxFactory)
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@app.post("/")
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async def blackbox(blackbox_name: Union[str, None] = None, request: Request = None):
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if not blackbox_name:
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return await JSONResponse(content={"error": "blackbox_name is required"}, status_code=status.HTTP_400_BAD_REQUEST)
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try:
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box = blackbox_factory.call_blackbox(blackbox_name)
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except ValueError:
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return await JSONResponse(content={"error": "value error"}, status_code=status.HTTP_400_BAD_REQUEST)
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return await box.fast_api_handler(request)
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@ -7,7 +7,9 @@ from fastapi.responses import JSONResponse
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from ..asr.rapid_paraformer.utils import read_yaml
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from ..asr.rapid_paraformer import RapidParaformer
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from .blackbox import Blackbox
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from injector import singleton
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@singleton
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class ASR(Blackbox):
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def __init__(self, path = ".env.yaml") -> None:
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@ -1,6 +1,6 @@
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from fastapi import Request, Response,status
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from fastapi.responses import JSONResponse
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from injector import inject
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from injector import inject, singleton
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from .asr import ASR
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from .tesou import Tesou
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@ -8,6 +8,7 @@ from .tts import TTS
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from .blackbox import Blackbox
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@singleton
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class AudioChat(Blackbox):
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@inject
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@ -3,9 +3,10 @@ from fastapi.responses import JSONResponse
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import speech_recognition as sr
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import filetype
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import io
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from injector import singleton
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from .blackbox import Blackbox
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@singleton
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class AudioToText(Blackbox):
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def __call__(self, *args, **kwargs):
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@ -9,8 +9,9 @@ from .tesou import Tesou
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from .fastchat import Fastchat
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from .g2e import G2E
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from .text_and_image import TextAndImage
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from injector import inject
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from injector import inject, singleton
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@singleton
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class BlackboxFactory:
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models = {}
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@ -40,7 +41,7 @@ class BlackboxFactory:
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def __call__(self, *args, **kwargs):
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return self.processing(*args, **kwargs)
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def create_blackbox(self, blackbox_name: str) -> Blackbox:
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def call_blackbox(self, blackbox_name: str) -> Blackbox:
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model = self.models.get(blackbox_name)
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if model is None:
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raise ValueError("Invalid blockbox type")
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@ -6,8 +6,10 @@ from fastapi.responses import JSONResponse
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from .blackbox import Blackbox
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from lagent.llms.lmdepoly_wrapper import LMDeployClient
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from lagent.llms.meta_template import INTERNLM2_META as META
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from injector import singleton
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class Sentiment(Blackbox):
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@singleton
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class Emotion(Blackbox):
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def __init__(self, model_name, model_url) -> None:
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self.model = LMDeployClient(
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@ -7,6 +7,8 @@ from .blackbox import Blackbox
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import requests
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import json
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from injector import singleton
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@singleton
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class Fastchat(Blackbox):
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def __call__(self, *args, **kwargs):
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@ -7,7 +7,8 @@ from .blackbox import Blackbox
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import requests
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import json
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from openai import OpenAI
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from injector import singleton
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@singleton
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class G2E(Blackbox):
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def __call__(self, *args, **kwargs):
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@ -6,7 +6,8 @@ from fastapi.responses import JSONResponse
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from ..sentiment_engine.sentiment_engine import SentimentEngine
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from .blackbox import Blackbox
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from injector import singleton
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@singleton
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class Sentiment(Blackbox):
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def __init__(self) -> None:
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@ -7,7 +7,9 @@ from ..configuration import TesouConf
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from .blackbox import Blackbox
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import requests
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from injector import singleton
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@singleton
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class Tesou(Blackbox):
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url: str
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@ -4,7 +4,8 @@ from fastapi import Request, Response, status
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from fastapi.responses import JSONResponse
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from .blackbox import Blackbox
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from injector import singleton
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@singleton
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class TextAndImage(Blackbox):
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def __call__(self, *args, **kwargs):
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@ -3,7 +3,8 @@ from fastapi.responses import JSONResponse
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from .blackbox import Blackbox
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from gtts import gTTS
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from io import BytesIO
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from injector import singleton
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@singleton
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class TextToAudio(Blackbox):
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def __call__(self, *args, **kwargs):
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@ -6,7 +6,9 @@ from fastapi import Request, Response, status
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from fastapi.responses import JSONResponse
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from .blackbox import Blackbox
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from ..tts.tts_service import TTService
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from injector import singleton
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@singleton
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class TTS(Blackbox):
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def __init__(self, *args, **kwargs) -> None:
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