import torch.nn as nn

class WasteCNN(nn.Module):
    def __init__(self):
        super(WasteCNN, self).__init__()
        self.conv_layer = nn.Sequential(
            nn.Conv2d(3, 32, 3, padding=1), nn.ReLU(), nn.MaxPool2d(2),
            nn.Conv2d(32, 64, 3, padding=1), nn.ReLU(), nn.MaxPool2d(2),
            nn.Conv2d(64, 128, 3, padding=1), nn.ReLU(), nn.MaxPool2d(2),
        )
        self.fc_layer = nn.Sequential(
            nn.Flatten(),
            nn.Linear(128 * 16 * 16, 128),
            nn.ReLU(),
            nn.Dropout(0.5),
            nn.Linear(128, 2)  # 2 classes: dry/wet
        )

    def forward(self, x):
        x = self.conv_layer(x)
        x = self.fc_layer(x)
        return x