Update app.py

app.py

@@ -63,7 +63,7 @@ class FaceEmbeddingModel(torch.nn.Module):
         return torch.nn.functional.normalize(x)  # Normalize for cosine similarity
 
 # Load the model
-model_pretrained = torch.load(model_path, map_location=device)
+model_pretrained = torch.load(model_path, map_location=device, weights_only=False)
 
 # Define the ML model - Evaluation function
 def prod_function(transformer_model, prod_dl, prod_data):