src/model.py

import torch.nn as nn

class EmotionCNN(nn.Module):
    def __init__(self, num_classes=7):
        super(EmotionCNN, self).__init__()
        self.conv_layers = nn.Sequential(
            nn.Conv2d(1, 32, kernel_size=3, padding=1),
            nn.ReLU(), nn.MaxPool2d(2),
            nn.Conv2d(32, 64, kernel_size=3, padding=1),
            nn.ReLU(), nn.MaxPool2d(2),
            nn.Conv2d(64, 128, kernel_size=3, padding=1),
            nn.ReLU(), nn.MaxPool2d(2)
        )
        self.fc_layers = nn.Sequential(
            nn.Flatten(),
            nn.Linear(128 * 6 * 6, 256),
            nn.ReLU(),
            nn.Dropout(0.5),
            nn.Linear(256, num_classes)  # Now dynamic!
        )

    def forward(self, x):
        x = self.conv_layers(x)
        x = self.fc_layers(x)
        return x