PaddleOCR MCP Server

# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import abc from .._utils.cli import ( get_subcommand_args, perform_simple_inference, ) from .base import PaddleXPredictorWrapper, PredictorCLISubcommandExecutor from paddlex.utils.pipeline_arguments import custom_type class BaseDocVLM(PaddleXPredictorWrapper): def __init__( self, *args, **kwargs, ): self._extra_init_args = {} super().__init__(*args, **kwargs) def _get_extra_paddlex_predictor_init_args(self): return self._extra_init_args class BaseDocVLMSubcommandExecutor(PredictorCLISubcommandExecutor): input_validator = staticmethod(custom_type(dict)) @property @abc.abstractmethod def wrapper_cls(self): raise NotImplementedError def execute_with_args(self, args): params = get_subcommand_args(args) params["input"] = self.input_validator(params["input"]) perform_simple_inference(self.wrapper_cls, params)