Harnessing AI: How I Built an Article Writer Using Raspberry Pi and Python

Do everything you can, with everything you have.

-Rosal Sibley, Tahraun's mom

In today's world of innovation, combining accessible hardware with advanced AI tools creates incredible opportunities for developers. Recently, I embarked on a project to create a ChatGPT-powered API using Raspberry Pi 5 and Python to generate LinkedIn articles.

Here's how I built it:

Step 1: Setting Up the Raspberry Pi 5

I began by setting up my Raspberry Pi 5 with Raspberry Pi OS and ensuring a stable internet connection. With its upgraded hardware and processing power, the Raspberry Pi 5 serves as a perfect server for lightweight applications like this one.

Step 2: Installing Python and Dependencies

After preparing the system, I installed Python and key libraries, including the OpenAI Python SDK, to interface with the ChatGPT API.

Step 3: Writing the Article Generator Program

The core of this project is a Python script designed to generate LinkedIn articles based on user-provided topics. Here's the breakdown of the script:

? Import the OpenAI Library and Set the API Key

import openai
openai.api_key = "API KEY HERE"  # Replace with your API key        

? Define the Article Generator Function

This function communicates with the ChatGPT API and generates articles using a professional tone.

def generate_article(topic):
    try:
        response = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            messages=[
                {"role": "system", "content": "You are a professional LinkedIn article writer."},
                {"role": "user", "content": f"Write a professional LinkedIn article about {topic}."}
            ],
            max_tokens=500,  # Adjust to balance cost and length
            temperature=0.7
        )
        return response.choices[0].message.content.strip()
    except Exception as e:
        print(f"Error generating article: {e}")
        return None        

? Prompt the User for Input and Generate the Article

Finally, the program asks the user for a topic and displays the generated article.

if __name__ == "__main__":
    topic = input("Enter a topic for the LinkedIn article: ").strip()
    if topic:
        article = generate_article(topic)
        if article:
            print("\nGenerated Article:\n")
            print(article)
        else:
            print("Failed to generate the article.")
    else:
        print("No topic provided.")        

Step 4: Testing and Refinement

I tested the program by inputting various topics to evaluate the quality of the output. I fine-tuned the responses by adjusting parameters such as temperature and max_tokens to ensure high-quality and engaging articles.

What's Next?

This project demonstrates the potential of integrating Raspberry Pi with AI to create practical tools. Looking ahead, I plan to expand the program with additional features, such as customizable writing styles and formatting options.

The combination of accessible hardware and cutting-edge AI truly unlocks limitless possibilities. If you're interested in AI development, there's no better time to start!

Check out the article here!