import torch
import torch.nn as nn

class MNISTModel(nn.Module):
    def __init__(self):
        super(MNISTModel, self).__init__()
        self.fc1 = nn.Linear(28 * 28, 128)  # MNIST images are 28x28
        self.fc2 = nn.Linear(128, 10)
        self.dropout = nn.Dropout(0.5)

    def forward(self, x):
        x = x.view(-1, 28 * 28)  # Flatten the input
        x = torch.relu(self.fc1(x))
        x = self.dropout(x)
        x = self.fc2(x)
        return x