Usage Instructions:

• For Linux: Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.thinkwithwp.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html  Sign-in credentials: Username: ubuntu

1. This software does not store any sensitive customer information.

2. This software does not require any type of data encryption configuration.

3. Programmatic system credentials and cryptographic keys are not required for this product.

4. To verify the Rasa installation, follow the commands below: a) To see the list of directories: ls b) Rasa is installed in the virtual environment "virtual_env". c) To activate the virtual environment "virtual_env": source virtual_env/bin/activate d) To check the installed version of Rasa: pip show rasa or python3 -m pip show rasa e) To Creates a new project with example training data, actions, and config files.: rasa init
   f) To Trains a model using your NLU data and stories, saves trained model in ./models.: rasa train g) To Loads your trained model and lets you talk to your assistant on the command line.: rasa shell h) To Starts a server with your trained model: rasa run i) To come out of the virtual environment: deactivate

• Below are the minimum external resources subscriber needs to have to use this product:

• An Internet Connection is required in order for this product to function as expected.
• We recommend keeping your crucial data in a custom made encrypted EBS in order to save from termination in future.