TTX_GPT

This is a generative AI project that aims to use openAI's API to turn into a traditional Table-top Exercise into something digital. For this project , we will be looking at using a Playbook as a reference for a table-top exercise (TTX), allowing users to have self-directed practices for their TTX.

Installing dependencies

1. Go to a command prompt terminal.
2. run: npm install to install any javascript dependencies
3. To install python dependencies, run the following command line by line:
   cd backend
pip install -r requirements.txt

Add your openAI API key

go to service.py and add in your API key at line 43 openai.api_key = <insert-your-API-key>

To Start Frontend

1. Ensure the you are in the project root.
2. Run npm start to start the React App
3. Open http://localhost:3000 to view it in your browser.

To start Backend

1. Open another command prompt terminal
2. run both on seperate lines:
   cd backend
py service.py

Using the application:

There are no explicit loading screens or animations. Since this uses openAI API, thus it will take some time for the output to be generated. Please ensure that the output is produced and data is stored before you proceed.

Video Demonstration: https://youtu.be/w8b-TZwpAUU

1. Upload a playbook (You may use ransomware2.pdf inside the .zip as it's size is not too big that it exceeds the GPT token. credits: https://www.pensar.co.uk/hubfs/Ransomware%20disaster%20response%20plan%20template-1.pdf)
2. Scroll down to read the Scenario, Context and Question.
3. Answer the question and click evaluate
4. Wait for the evaluation to appear below
5. Click on Next Question
6. Answer all 4 questions
7. Click on Get Final Evaluation
8. Wait for the Final Evaluation to show up

To check whether the output is stored, go to F12 inspect element and the console tab to find the console output. If all is correct the output will be logged.