Update app.py

app.py

@@ -10,7 +10,7 @@ import os
 
 RECOGNITION_THRESHOLD = 0.3
 
-# Assuming the PyTorch model is a ResNet (or similar) and has been trained accordingly
+
 # Load the embedding model
 embedding_model = torch.load('full_mode2.pth', map_location=torch.device('cpu'))
 embedding_model.eval()  # Set the model to evaluation mode