(self, record: Any)

(self, token_id: int)

(self, uid: int)

(text: str | None)

( self, collection_name: str, embedding_vector: list[float], original_text: st

(pipe: Pipeline, prompt: str, temperature: float = 0.7)

()

(message: str | bytes | list | dict, websocket: WebSocket)

( self, prompt: str, model: str = "gpt-3.5-turbo" )

(self, collection_name: str, size: int)

( pipe: StableDiffusionInpaintPipelineLegacy, prompt: str )

(image: Image.Image, img_format: Literal["PNG", "JPEG"] = "PNG")

(self, user_query: str)

()

(self, query: str)

(audio_array: np.ndarray, sample_rate: int)

(self, websocket: WebSocket)

(text: str | None)

(self, token: TokenCreate)

(self, uid: int)

(self, websocket: WebSocket)

(text: str)

(images: list[Image.Image])

( pipe: ShapEPipeline, prompt: str, num_inference_steps: int )

( processor: BarkProcessor, model: BarkModel, prompt: str, preset: VoicePresets, )

( pipe: StableVideoDiffusionPipeline, image: Image.Image, num_frames: int = 25 )

(self, conversation_id: int)

()

()

()

()

(mesh: MeshDecoderOutput)

(websocket: WebSocket)

(file: UploadFile)

(self, query_vector: list[float])

(date: int)

( self, token_id: int, updated_token: TokenUpdate )

( self, prompt: str, mode: str = "sse", model: str = "gpt-3.5-turbo" )

(text: str)

(self, name: str)

(text: str)

(session: aiohttp.ClientSession, url: str)

(urls: list[str])

( chat_response: str, threshold: int = 3 )

(self, prompt: str)

(self, prompt: str)

(prompt: str, temperature: float = 0.7)

(self, question)

(self, password: str)

()

( self, query_vector: list[float], documents: list[str] )

(user_query: str)

( num_inference_steps: int, model: SupportedImageModels )

( num_inference_steps: int, model: SupportedModels )

(self)

(self, conversation_id: int)

(filepath: str)

()

()

(html_string: str)

( self, collection_name: str, query_vector: list[float], retrieval_limit: int,

(ms)

()

()

(self, uid: int, record: Any)

( self, password: str, hashed_password: str )

(self)

(self, session: AsyncSession)

(self, session: DBSessionDep)

(self, system_prompt: str)

(self, throttle_rate=0.5)

(self)

(self)

(self, host: str = "localhost", port: int = 6333)

(self)

(self, threshold: float = 0.35)

(self, host="localhost", port=6333)

(self)

(self)

(self)

(self, session: AsyncSession)

(prompt: str = Body(...))

(audio_array: np.array, sample_rate: int)

( credentials: Annotated[HTTPBasicCredentials, Depends(security)] )

(self, form_data: LoginFormDep)

( user: CurrentUserDep, resource: ResourceDep, action: ActionRep )

( user: CurrentUserDep, resource: ResourceDep, team: TeamMembershipRep )

(prompt: str, count: int)

()

(self, message: str | bytes | list | dict)

( prompt: str, response: str | None, model: SupportedModel, )

( prompt: str, response: str | None, model: SupportedModels, )

(message: Message)

(prompt: str = "Inspire me")

(prompt: str = "Inspire me")

(prompt: str)

( self, prompt: str, mode: str = "sse", model: str = "gpt-3.5-turbo" )

(value: str | None)

(request: Request, state: str)

(request: Request, ...)