From 3854eaa3657796d10a3b964f41194171bf2f03d1 Mon Sep 17 00:00:00 2001
From: Omar Santos <santosomar@gmail.com>
Date: Mon, 4 Sep 2023 22:43:27 -0400
Subject: [PATCH] Create article_generator.py

---
 .../ai_generated/article_generator.py         | 50 +++++++++++++++++++
 1 file changed, 50 insertions(+)
 create mode 100644 ai_security/ML_Fundamentals/ai_generated/article_generator.py

diff --git a/ai_security/ML_Fundamentals/ai_generated/article_generator.py b/ai_security/ML_Fundamentals/ai_generated/article_generator.py
new file mode 100644
index 0000000..54bdfd4
--- /dev/null
+++ b/ai_security/ML_Fundamentals/ai_generated/article_generator.py
@@ -0,0 +1,50 @@
+'''
+A simple test to use AI (OpenAI API) to generate an article based on a list of ideas.
+You can do this a lot better using LangChain. However, this is a simple example to demonstrate how to use the OpenAI API.
+Author: Omar Santos, os@cisco.com, @santosomar
+'''
+
+# Import the required libraries
+# Install all the required libraries using pip install openai python-dotenv 
+from dotenv import load_dotenv
+import openai
+import os
+import sys
+
+# Load the .env file
+load_dotenv()
+
+# Get the API key from the environment variable
+openai.api_key = os.getenv('OPENAI_API_KEY')
+
+# Read the ideas from a file (ideas.txt)
+with open('ideas.txt', 'r') as file:
+    lines = file.readlines()
+
+# Read lines one by one
+for line in lines:
+    # Create a filename
+    filename = line.strip().replace(' ', '_') + '.md'
+    idea = line.strip()
+
+    # Create a path to save the files in a specific directory
+    filepath = os.path.join('data', filename)
+
+    # Prepare the prompt
+    prompt = [{"role": "user", "content": f"Create an article about  {idea}."}]
+    # Generate the AI response using the GPT-3.5 model (16k)
+    # https://beta.openai.com/docs/api-reference/create-completion
+    response = openai.ChatCompletion.create(
+      model="gpt-3.5-turbo-16k",
+      messages=prompt,
+      max_tokens=15000
+    )
+
+    # print the AI response
+    final_response = response.choices[0].message.content
+
+    print(final_response)
+   
+    # Create a new markdown file and write the article
+    with open(filepath, 'w') as md_file:
+        md_file.write(final_response)