Automate WordPress Blog Posts with GPT-4 and Python: A Step-by-Step Guide

Are you looking for an easy and efficient way to generate high-quality blog posts for your WordPress website? Look no further! In this article, we’ll show you how to use GPT-4 and Python to automatically generate blog post ideas, titles, and content with subheadings. We’ll also explain how the script works and all the dependencies you’ll need to get started. You can always play with creating more templates and experimenting with the prompts.

Dependencies

Before we dive into the details of the script, let’s take a look at the dependencies you’ll need to install. The script uses several libraries and modules, including openai, langchain, requests, and os. You can install these dependencies using pip by running the following command in your terminal:

pip install openai langchain requests

In addition to these libraries, you’ll also need to have an API key for OpenAI and the credentials for your WordPress website. You can obtain an API key from the OpenAI website, and you’ll need to set it as an environment variable named OPENAI_API_KEY. You’ll also need to set the WP_URL, WP_USERNAME, and WP_PASSWORD environment variables with your WordPress website URL, username, and password.

Generating a List of Niches

The first step in generating a blog post is to select a niche or topic for the post. The script generates a list of niches based on the ecommerce industry using GPT-4. To do this, it creates a GPT4Model component from the langchain.components module and uses it to generate a list of niches based on a prompt that specifies the industry.

Here’s an example of how this is done in the script:

# Set the industry for the list of niches
industry = "ecommerce"

# Create a GPT-4 model component
model = GPT4Model(api_key=openai.api_key)

# Generate a list of niches based on the ecommerce industry using GPT-4
response = model.generate(prompt=f"Generate a list of niches for the {industry} industry", system_message=SystemMessage(industry=industry))
niches = response["text"].split("\n")Code language: PHP (php)

In this example, we set the industry as “ecommerce” and use it to generate a list of niches using GPT-4. The generated list of niches is then split into individual items using the split method.

Selecting a Niche

Once we have a list of niches, we can randomly select one of them to use as the topic for our blog post. This is done using the random.choice function from the random module. Here’s an example of how this is done in the script:

# Set the niche for the blog post idea
niche = random.choice(niches)Code language: PHP (php)

In this example, we randomly select one of the niches from the generated list and assign it to a variable named niche.

Generating Keywords

After selecting a niche, we can use GPT-4 to generate a list of relevant keywords for our blog post. This is done by creating a chain that includes our GPT-4 model component and a data connection component for our WordPress website. The chain generates a list of relevant keywords using GPT-4 based on our selected niche.

Here’s an example of how this is done in the script:

# Create a data connection component for your WordPress website
wp_url = os.environ.get("WP_URL")
wp_username = os.environ.get("WP_USERNAME")
wp_password = os.environ.get("WP_PASSWORD")
if not all([wp_url, wp_username, wp_password]):
    raise ValueError("Please set the WP_URL, WP_USERNAME, and WP_PASSWORD environment variables")
data_connection = WordPressDataConnection(
    url=wp_url,
    auth=HTTPBasicAuth(wp_username, wp_password),
)

# Create a chain that generates a list of relevant keywords using GPT-4 based on the selected niche,
# generates content using GPT-4 based on the selected prompt and keywords,
# and posts it as a draft to your WordPress website
chain = Chain(
    components=[model, data_connection],
    sequence=[
        (model, "generate", {"prompt": f"Generate a list of relevant keywords for the topic: {topic}", "system_message": SystemMessage(industry=industry, niche=niche, avatar=avatar)}),
        (model, "generate", {"prompt": None}),
        (data_connection, "create_post", {"title": None, "status": "draft"}),
    ],
)

# Run the chain and get the generated list of keywords
keywords = chain.run()[0]
Code language: PHP (php)

In this example, we create a data connection component for our WordPress website using the WordPressDataConnection class from the langchain.components module. We then create a chain that includes our GPT-4 model component and data connection component, and generates a list of relevant keywords using GPT-4 based on our selected niche. We run the chain and get the generated list of keywords.

Generating a Title and Content

Once we have a list of relevant keywords, we can use GPT-4 to generate a title and content for our blog post. This is done by formatting a prompt that includes our selected niche and list of keywords, and using it to generate a title and content with subheadings using GPT-4.

Here’s an example of how this is done in the script:

# Set the prompt for blog posts
prompt = "Write a keyword-optimized blog post about {topic} using the following keywords: {keywords}"

# Set the avatar template
avatar = {
    "name": "Maxwell",
    "age": 35,
    "gender": "male",
    "occupation": "ecommerce business owner",
    "interests": ["bitcoin", "digital marketing", "cigars", "money", "fast cars"],
}

# Set the topic for the blog post
topic = niche

# Format the prompt with the generated list of keywords
prompt = prompt.format(topic=topic, keywords=keywords)

# Adjust the prompt using the avatar template
prompt = f"As {avatar['name']}, a {avatar['age']}-year-old {avatar['gender']} {avatar['occupation']} who enjoys {', '.join(avatar['interests'])}, {prompt}"

# Generate an AIMessage with title and content using GPT-4 based on the adjusted prompt
response = model.generate(prompt=f"Generate a title and content with subheadings and personal stories from first person perspective for: {prompt}", max_tokens=random.randint(1500, 3000), system_message=SystemMessage(industry=industry, niche=niche, avatar=avatar))
title_and_content = response["text"]
title, content = title_and_content.split("\n\n", 1)
Code language: PHP (php)

In this example, we set a prompt for generating blog posts that includes placeholders for our selected niche and list of keywords. We then format the prompt with our generated values and adjust it using an avatar template that specifies details about the author of the blog post. We use this adjusted prompt to generate a title and content with subheadings using GPT-4.

Posting to WordPress

After generating a title and content for our blog post, we can use our data connection component to post it as a draft to our WordPress website. This is done by formatting the content to include <h2> tags for subheadings, and calling the create_post method on our data connection component.

Here’s an example of how this is done in the script:

# Format the content by replacing subheadings with <h2> tags
content = content.replace("\n\n", "\n")
content = content.replace("\n", "</h2>\n")
content = f"<h2>{content}"

# Post the generated title and content as a draft to your WordPress website
response = data_connection.create_post(title=title, content=content, status="draft")

print(f"Blog post successfully created as a draft on your WordPress website!")
Code language: PHP (php)

In this example, we format the generated content by replacing subheadings with <h2> tags. We then use our data connection component to post the generated title and content as a draft to our WordPress website.

Scheduling the Script

If you want to automatically generate new blog posts on a regular basis, you can schedule this script to run at a specific time using cron on Unix-like systems or Task Scheduler on Windows. The script includes instructions on how to do this at the end.

Here’s an example of how to schedule the script to run every Sunday evening at 6 PM using cron on Unix-like systems:

# On Unix-like systems:
# 1. Open the crontab file by running the command `crontab -e` in the terminal.
# 2. Add a new line to the file with the following format: `0 18 * * 0 /usr/bin/python3 /path/to/your/script.py`
#    This will schedule the script to run every Sunday at 6 PM (18:00) using Python 3.
# 3. Save and close the crontab file.
Code language: PHP (php)

On Windows, you can use Task Scheduler to create a new task that runs the script at the desired time every Sunday.

Conclusion

You learned how to automatically create new blog posts for your industry that randomizes different topics for you and then posts a draft to your WordPress website every week. Feel free to play around with the prompts, templates, and anything else to make this script your own.