Added back some logging messages

handler.py

@@ -140,14 +140,14 @@ class EndpointHandler:
         frame_embedding = self.model.get_video_features(**frame_preprocessed)
 
         # Check the shape of the tensor
-        # self.logger.info(f"Shape of the batch_emb tensor: {frame_embedding.shape}")
+        self.logger.info(f"Shape of the batch_emb tensor: {frame_embedding.shape}")
 
         # Normalize the embeddings if it's a 2D tensor
         if frame_embedding.dim() == 2:
-            # self.logger.info("Normalizing embeddings")
+            self.logger.info("Normalizing embeddings")
             batch_emb = torch.nn.functional.normalize(frame_embedding, p=2, dim=1)
         else:
-            # self.logger.info("Skipping normalization due to tensor shape")
+            self.logger.info("Skipping normalization due to tensor shape")
             batch_emb = frame_embedding.squeeze(0)
 
         self.logger.info("Converting into numpy array")