prompt engineering - Create a Python Application for cyber security enterprise threat modeling and integrate it with ChatGPT using openai

Prabhakar Damor Prabhakar Damor

Prabhakar Damor

Helping MSMEs for secured digital future|IICA empanelled Independent Director|Cybersecurity Leader |Speaker|Startup Mentor|Entrepreneur |vCISO|vDPO |Threat Model builder

发布日期: 2023年7月19日
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Building a fully functional Sentinel Shield application involves creating a user-friendly interface that allows users to interact with the ChatGPT model for cyber security threat modeling. In this example, we'll use the Flask web framework to create a web application. You'll also need the OpenAI Python library, which you can install using pip.

Note: To use the OpenAI API, you'll need an API key from OpenAI. Make sure to replace 'YOUR_API_KEY' with your actual API key.

Here's how to create the Sentinel Shield web application:

  1. Install required libraries:

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pip install flask openai

  1. Create the Flask app in a Python file, e.g., app.py:

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python

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from flask import Flask, render_template, request import openai # Replace 'YOUR_API_KEY' with your actual OpenAI API key openai.api_key = 'YOUR_API_KEY' app = Flask(__name__) def generate_response(prompt): try: response = openai.Completion.create( engine="davinci", prompt=prompt, temperature=0.7, max_tokens=150, stop=["\n"], ) return response.choices[0].text.strip() except Exception as e: return str(e) @app.route('/') def index(): return render_template('index.html') @app.route('/get_response', methods=['POST']) def get_response(): user_input = request.form['user_input'] prompt = "You are a security professional using Sentinel Shield.\nUser: " + user_input + "\n" response = generate_response(prompt) return response if __name__ == "__main__": app.run(debug=True)

  1. Create a folder named templates in the same directory as your app.py file, and create an HTML file inside it called index.html:

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<!DOCTYPE html> <html> <head> <title>Sentinel Shield - Cyber Security Threat Modeling Platform</title> </head> <body> <h1>Sentinel Shield</h1> <p>Cyber Security Threat Modeling Platform</p> <form method="POST" action="/get_response"> <label for="user_input">You:</label> <input type="text" id="user_input" name="user_input" required> <input type="submit" value="Send"> </form> <div id="response"></div> <script> const form = document.querySelector('form'); const responseDiv = document.getElementById('response'); form.addEventListener('submit', function(event) { event.preventDefault(); const user_input = document.getElementById('user_input').value; responseDiv.innerHTML += '<p>You: ' + user_input + '</p>'; fetch('/get_response', { method: 'POST', headers: { 'Content-Type': 'application/x-www-form-urlencoded' }, body: 'user_input=' + encodeURIComponent(user_input) }) .then(response => response.text()) .then(data => { responseDiv.innerHTML += '<p>Sentinel Shield: ' + data + '</p>'; }); }); </script> </body> </html>

  1. Replace 'YOUR_API_KEY' with your actual OpenAI API key in app.py.
  2. Save the files and run the application:

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python app.py

  1. Access the application in your web browser at https://127.0.0.1:5000/.

Now, you have a fully functional Sentinel Shield application! It allows you to interact with the ChatGPT model through a web interface for dynamic threat modeling conversations. Enter your messages in the input field, and the application will respond with relevant threat modeling information. This web application provides a more user-friendly and interactive experience for engaging with Sentinel Shield.

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