mirror of
https://github.com/BoardWare-Genius/jarvis-models.git
synced 2025-12-13 16:53:24 +00:00
refactor: args
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@ -10,12 +10,13 @@ from ..blackbox.blackbox import Blackbox
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class ASR(Blackbox):
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class ASR(Blackbox):
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def __init__(self, config: any) -> None:
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def __init__(self, *args, **kwargs) -> None:
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config = read_yaml(config)
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config = read_yaml(args[0])
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self.paraformer = RapidParaformer(config)
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self.paraformer = RapidParaformer(config)
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super().__init__(config)
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super().__init__(config)
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async def processing(self, data: bytes):
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async def processing(self, *args, **kwargs):
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data = args[0]
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results = self.paraformer([BytesIO(data)])
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results = self.paraformer([BytesIO(data)])
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if len(results) == 0:
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if len(results) == 0:
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return None
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return None
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@ -8,7 +8,8 @@ from .blackbox import Blackbox
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class AudioToText(Blackbox):
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class AudioToText(Blackbox):
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def valid(self, data: any) -> bool :
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def valid(self, *args, **kwargs) -> bool :
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data = args[0]
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kind = filetype.guess(data)
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kind = filetype.guess(data)
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if kind is None:
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if kind is None:
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return False
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return False
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@ -7,7 +7,8 @@ class Calculator(Blackbox):
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"""This class just for example, it show how to implement Blackbox interface."""
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"""This class just for example, it show how to implement Blackbox interface."""
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def valid(self, data: any) -> bool:
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def valid(self, *args, **kwargs) -> bool:
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data = args[0]
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return isinstance(data, dict) and "op" in data and "left" in data and "right" in data
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return isinstance(data, dict) and "op" in data and "left" in data and "right" in data
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def processing(self, data: dict) -> int | float:
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def processing(self, data: dict) -> int | float:
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@ -12,10 +12,12 @@ class Sentiment(Blackbox):
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def __init__(self) -> None:
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def __init__(self) -> None:
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self.engine = SentimentEngine('resources/sentiment_engine/models/paimon_sentiment.onnx')
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self.engine = SentimentEngine('resources/sentiment_engine/models/paimon_sentiment.onnx')
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def valid(self, data: any) -> bool:
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def valid(self, *args, **kwargs) -> bool:
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data = args[0]
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return isinstance(data, str)
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return isinstance(data, str)
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def processing(self, text: any) -> int:
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def processing(self, *args, **kwargs) -> int:
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text = args[0]
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return int(self.engine.infer(text))
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return int(self.engine.infer(text))
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async def fast_api_handler(self, request) -> Response:
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async def fast_api_handler(self, request) -> Response:
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@ -7,10 +7,12 @@ from .blackbox import Blackbox
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class SUM(Blackbox):
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class SUM(Blackbox):
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def valid(self, data: any) -> bool:
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def valid(self, *args, **kwargs) -> bool:
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data = args[0]
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return isinstance(data, list)
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return isinstance(data, list)
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def processing(self, data: list) -> Coroutine[Any, Any, Any]:
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def processing(self, *args, **kwargs) -> Coroutine[Any, Any, Any]:
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data = args[0]
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return sum(data)
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return sum(data)
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async def fast_api_handler(self, request: Request) -> Response:
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async def fast_api_handler(self, request: Request) -> Response:
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@ -9,7 +9,7 @@ import time
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class TTS(Blackbox):
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class TTS(Blackbox):
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def __init__(self) -> None:
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def __init__(self, *args, **kwargs) -> None:
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config = {
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config = {
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'paimon': ['resources/tts/models/paimon6k.json', 'resources/tts/models/paimon6k_390k.pth', 'character_paimon', 1],
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'paimon': ['resources/tts/models/paimon6k.json', 'resources/tts/models/paimon6k_390k.pth', 'character_paimon', 1],
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'yunfei': ['resources/tts/models/yunfeimix2.json', 'resources/tts/models/yunfeimix2_53k.pth', 'character_yunfei', 1.1],
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'yunfei': ['resources/tts/models/yunfeimix2.json', 'resources/tts/models/yunfeimix2_53k.pth', 'character_yunfei', 1.1],
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@ -18,12 +18,14 @@ class TTS(Blackbox):
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self.tts_service = TTService(*config['catmaid'])
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self.tts_service = TTService(*config['catmaid'])
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super().__init__(config)
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super().__init__(config)
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def processing(self, text: str) -> io.BytesIO:
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def processing(self, *args, **kwargs) -> io.BytesIO:
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text = args[0]
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audio = self.tts_service.read(text)
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audio = self.tts_service.read(text)
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return audio
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return audio
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def valid(self, txt: any) -> bool:
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def valid(self, *args, **kwargs) -> bool:
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return isinstance(txt, str)
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text = args[0]
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return isinstance(text, str)
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async def fast_api_handler(self, request: Request) -> Response:
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async def fast_api_handler(self, request: Request) -> Response:
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try:
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try:
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