;3h8 UdZddlZddlZddlZddlZddlmZddlmZddl m Z ddl m Z m Z mZmZmZmZmZmZmZmZmZmZmZmZddlmZddlmZmZmZm Z m!Z!m"Z"d d l#m$Z$m%Z%m&Z&m'Z'd d l(m)Z)m*Z*e rdd l+m,Z,m-Z-ddl.m/Z/e0Z1ee0e fZ2ee3efZ4ee4e2e1fZ5ddhZ6ejne8Z9eGddZ:eGddZ;dZede5dee4fdZ?ededdeedfdZ?edee5deee4ddffdZ?de5de0fdZ@de0ddfd ZAde3defd!ZBde3defd"ZCde3ddfd#ZDd$ee3efdefd%ZEd&ee3d'eFdeee0ee*ffd(ZGd&ee3d'eFdeee0ee*ffd)ZHd*e3d'eFdeee0e*ffd+ZId,ee3dee)fd-ZJd,ee3dee)fd.ZKd*e3dee)fd/ZLd0d1d$d2dee3fd3ZMiZNeee0ee0feOd4<d5ee0d6ee0ddfd7ZPd5ee0dee0fd8ZQd9edefd:ZRd;ee0dzEContains utilities used by both the sync and async inference clients.N)contextmanager) dataclass)Path) TYPE_CHECKINGAny AsyncIterableBinaryIOContextManagerDict GeneratorIterableListLiteralNoReturnOptionalUnionoverload) HTTPError)GenerationErrorIncompleteGenerationErrorOverloadedErrorTextGenerationError UnknownErrorValidationError) get_sessionis_aiohttp_availableis_numpy_availableis_pillow_available)ChatCompletionStreamOutputTextGenerationStreamOutput)ClientResponse ClientSessionImagez text-to-imagezimage-to-imagecreZdZUeed<eed<eeed<eeeeefed<ee ed<eee fed<y)RequestParametersurltaskmodeljsondataheadersN) __name__ __module__ __qualname__str__annotations__rrr rContentTra/var/www/html/audio-gradio/venv/lib/python3.12/site-packages/huggingface_hub/inference/_common.pyr(r(HsE H I C= 5dD) ** 8  #s(^r6r(c:eZdZUdZeed<eed<eed<eed<y) ModelStatusas This Dataclass represents the model status in the HF Inference API. Args: loaded (`bool`): If the model is currently loaded into HF's Inference API. Models are loaded on-demand, leading to the user's first request taking longer. If a model is loaded, you can be assured that it is in a healthy state. state (`str`): The current state of the model. This can be 'Loaded', 'Loadable', 'TooBig'. If a model's state is 'Loadable', it's not too big and has a supported backend. Loadable models are automatically loaded when the user first requests inference on the endpoint. This means it is transparent for the user to load a model, except that the first call takes longer to complete. compute_type (`Dict`): Information about the compute resource the model is using or will use, such as 'gpu' type and number of replicas. framework (`str`): The name of the framework that the model was built with, such as 'transformers' or 'text-generation-inference'. loadedstate compute_type frameworkN)r/r0r1__doc__boolr3r2r r5r6r7r9r9Ss, L JNr6r9c8ts tdddl}|S)NzMPlease install aiohttp to use `AsyncInferenceClient` (`pip install aiohttp`).r)r ImportErroraiohttp)rBs r7_import_aiohttprCts  !ijj Nr6c8ts tdddl}|S)z.Make sure `numpy` is installed on the machine.zGPlease install numpy to use deal with embeddings (`pip install numpy`).rN)rrAnumpy)rEs r7 _import_numpyrF}s  cdd Lr6c<ts tdddlm}|S)z,Make sure `PIL` is installed on the machine.zPlease install Pillow to use deal with images (`pip install Pillow`). 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