app.py

from transformers import PreTrainedModel
from typing import Optional
import torch

class MinerUModel(PreTrainedModel):
    def __init__(self, config):
        super().__init__(config)
        self.config = config
        
    @staticmethod
    def load_model():
        from model_loader import MinerUModelLoader
        return MinerUModelLoader.load_models("./")
        
    def forward(self, input_data):
        # 实现前向传播逻辑
        pass

def load_model():
    model = MinerUModel.from_pretrained("./")
    return model

def inference(pdf_content):
    model = load_model()
    return model(pdf_content)