Fastapi refactor update

app/services/abc/third_parties/__init__.py

@@ -1,13 +1,13 @@
-from .stt import ISpeechToTextService
-from .tts import ITextToSpeechService
-from .llm import ILLMService
-from .vid_gen import IVideoGeneratorService
-from .ai_detector import IAIDetectorService
-
-__all__ = [
-    "ISpeechToTextService",
-    "ITextToSpeechService",
-    "ILLMService",
-    "IVideoGeneratorService",
-    "IAIDetectorService"
-]
+from .stt import ISpeechToTextService
+from .tts import ITextToSpeechService
+from .llm import ILLMService
+from .vid_gen import IVideoGeneratorService
+from .ai_detector import IAIDetectorService
+
+__all__ = [
+    "ISpeechToTextService",
+    "ITextToSpeechService",
+    "ILLMService",
+    "IVideoGeneratorService",
+    "IAIDetectorService"
+]

app/services/abc/third_parties/ai_detector.py

@@ -1,13 +1,13 @@
-from abc import ABC, abstractmethod
-from typing import Dict, Optional
-
-
-class IAIDetectorService(ABC):
-
-    @abstractmethod
-    async def run_detection(self, text: str):
-        pass
-
-    @abstractmethod
-    def _parse_detection(self, response: Dict) -> Optional[Dict]:
-        pass
+from abc import ABC, abstractmethod
+from typing import Dict, Optional
+
+
+class IAIDetectorService(ABC):
+
+    @abstractmethod
+    async def run_detection(self, text: str):
+        pass
+
+    @abstractmethod
+    def _parse_detection(self, response: Dict) -> Optional[Dict]:
+        pass

app/services/abc/third_parties/llm.py

@@ -1,38 +1,38 @@
-from abc import ABC, abstractmethod
-from typing import List, Optional, TypeVar, Callable
-
-from openai.types.chat import ChatCompletionMessageParam
-from pydantic import BaseModel
-
-T = TypeVar('T', bound=BaseModel)
-
-class ILLMService(ABC):
-
-    @abstractmethod
-    async def prediction(
-            self,
-            model: str,
-            messages: List,
-            fields_to_check: Optional[List[str]],
-            temperature: float,
-            check_blacklisted: bool = True,
-            token_count: int = -1
-    ):
-        pass
-
-    @abstractmethod
-    async def prediction_override(self, **kwargs):
-        pass
-
-    @abstractmethod
-    async def pydantic_prediction(
-            self,
-            messages: List[ChatCompletionMessageParam],
-            map_to_model: Callable,
-            json_scheme: str,
-            *,
-            model: Optional[str] = None,
-            temperature: Optional[float] = None,
-            max_retries: int = 3
-    ) -> List[T] | T | None:
-        pass
+from abc import ABC, abstractmethod
+from typing import List, Optional, TypeVar, Callable
+
+from openai.types.chat import ChatCompletionMessageParam
+from pydantic import BaseModel
+
+T = TypeVar('T', bound=BaseModel)
+
+class ILLMService(ABC):
+
+    @abstractmethod
+    async def prediction(
+            self,
+            model: str,
+            messages: List,
+            fields_to_check: Optional[List[str]],
+            temperature: float,
+            check_blacklisted: bool = True,
+            token_count: int = -1
+    ):
+        pass
+
+    @abstractmethod
+    async def prediction_override(self, **kwargs):
+        pass
+
+    @abstractmethod
+    async def pydantic_prediction(
+            self,
+            messages: List[ChatCompletionMessageParam],
+            map_to_model: Callable,
+            json_scheme: str,
+            *,
+            model: Optional[str] = None,
+            temperature: Optional[float] = None,
+            max_retries: int = 3
+    ) -> List[T] | T | None:
+        pass

app/services/abc/third_parties/stt.py

@@ -1,8 +1,8 @@
-from abc import ABC, abstractmethod
-
-
-class ISpeechToTextService(ABC):
-
-    @abstractmethod
-    async def speech_to_text(self, file_path):
-        pass
+from abc import ABC, abstractmethod
+
+
+class ISpeechToTextService(ABC):
+
+    @abstractmethod
+    async def speech_to_text(self, file_path):
+        pass

app/services/abc/third_parties/tts.py

@@ -1,22 +1,22 @@
-from abc import ABC, abstractmethod
-from typing import Union
-
-
-class ITextToSpeechService(ABC):
-
-    @abstractmethod
-    async def synthesize_speech(self, text: str, voice: str, engine: str, output_format: str):
-        pass
-
-    @abstractmethod
-    async def text_to_speech(self, text: Union[list[str], str], file_name: str):
-        pass
-
-    @abstractmethod
-    async def _conversation_to_speech(self, conversation: list):
-        pass
-
-    @abstractmethod
-    async def _text_to_speech(self, text: str):
-        pass
-
+from abc import ABC, abstractmethod
+from typing import Union
+
+
+class ITextToSpeechService(ABC):
+
+    @abstractmethod
+    async def synthesize_speech(self, text: str, voice: str, engine: str, output_format: str):
+        pass
+
+    @abstractmethod
+    async def text_to_speech(self, text: Union[list[str], str], file_name: str):
+        pass
+
+    @abstractmethod
+    async def _conversation_to_speech(self, conversation: list):
+        pass
+
+    @abstractmethod
+    async def _text_to_speech(self, text: str):
+        pass
+

app/services/abc/third_parties/vid_gen.py

@@ -1,10 +1,10 @@
-from abc import ABC, abstractmethod
-
-from app.configs.constants import AvatarEnum
-
-
-class IVideoGeneratorService(ABC):
-
-    @abstractmethod
-    async def create_video(self, text: str, avatar: str):
-        pass
+from abc import ABC, abstractmethod
+
+from app.configs.constants import AvatarEnum
+
+
+class IVideoGeneratorService(ABC):
+
+    @abstractmethod
+    async def create_video(self, text: str, avatar: str):
+        pass