Update app.py

app.py

@@ -71,7 +71,7 @@ class AntioxidantPredictor(nn.Module):
         self.handcrafted_dim = input_dim - self.prott5_dim
         self.seq_len = 16
         self.prott5_feature_dim = 64
-        encoder_layer = nn.TransformerEncoderLayer(d_model=self.prott5_feature_dim, nhead=transformer_heads, dropout=transformer_dropout, batch_first=.T.rue)
+        encoder_layer = nn.TransformerEncoderLayer(d_model=self.prott5_feature_dim, nhead=transformer_heads, dropout=transformer_dropout, batch_first=True)
         self.transformer_encoder = nn.TransformerEncoder(encoder_layer, num_layers=transformer_layers)
         fused_dim = self.prott5_feature_dim + self.handcrafted_dim
         self.fusion_fc = nn.Sequential(nn.Linear(fused_dim, 1024), nn.ReLU(), nn.Dropout(0.3), nn.Linear(1024, 512), nn.ReLU(), nn.Dropout(0.3))