Update script reference in NuRec documentation

Author: MattRoweEAIF

Docs/nvidia_nurec.md

@@ -9,7 +9,7 @@ interactive 3D test environments where developers can modify the scene and see h
 add synthetic objects, and apply randomization — such as a child following a bouncing ball into the road — making the initial scenarios
 even more challenging. With the NuRec gRPC API, developers can bring rendering services directly to their simulation platform of choice, for example, CARLA.
 
-The NuRec gRPC API serves as a conduit of data and rendering between the CARLA replay and the NuRec container, where the scenes are reconstructed and rendered. You can load pre-trained scenes from the NVIDIA Physical AI Dataset for Autonomous Vehicles and define your scenes using the NuRec gRPC API in a python script (`replay_recording.py`). The diagram below further illustrates the relationship between NuRec and CARLA. 
+The NuRec gRPC API serves as a conduit of data and rendering between the CARLA replay and the NuRec container, where the scenes are reconstructed and rendered. You can load pre-trained scenes from the NVIDIA Physical AI Dataset for Autonomous Vehicles and define your scenes using the NuRec gRPC API in a python script (`example_nurec_replay_save_images.py`). The diagram below further illustrates the relationship between NuRec and CARLA. 
 
 ![NVIDIA NuRec and CARLA](img/carla-nurec-api.svg)
 
@@ -225,4 +225,4 @@ The following table explains the available command-line parameters for the scrip
 | -np | --nurec-port  | 46435 | TCP port for NuRec-CARLA connection |
 | --saveimages | | Inactive | Save the images generated by NuRec or CARLA cameras |
 | --output-dir | | `data` | Choose directory for `--saveimages` |
-| --move-spectator | | False | Move the spectator camera to follow the ego vehicle |
+| --move-spectator | | False | Move the spectator camera to follow the ego vehicle |