import torch
import torch.nn as nn
from transformers import ViTMAEModel

class VibeMAE(nn.Module):
    def __init__(self):
        super().__init__()
        # This is the pre-trained brain from Facebook
        self.mae = ViTMAEModel.from_pretrained("facebook/vit-mae-base")
        
        # This is the "Vibe Head" that calculates the 3 scores
        self.vibe_head = nn.Sequential(
            nn.Linear(768, 256),
            nn.ReLU(),
            nn.Linear(256, 3), # Outputs: Ferd, Aura, Munch
            nn.Sigmoid()       # Keeps scores between 0 and 1
        )

    def forward(self, x):
        outputs = self.mae(x)
        # We take the [CLS] token which represents the "vibe" of the whole face
        latent = outputs.last_hidden_state[:, 0, :] 
        return self.vibe_head(latent)