PressMasterGPT is a powerful Python script that automates the process of generating articles for an online newspaper in multiple categories. The program utilizes OpenAI’s cutting-edge GPT-4 language model to produce high-quality articles, allowing for a fully automated article production process. PressMasterGPT generates fictional author names, biographies, personalities, and styles, providing a diverse range of articles for readers.
In addition to generating articles, PressMasterGPT can also generate a photography or illustration with Stable Diffusion (text-to-image) models to accompany the article. The art direction prompt for the accompanying visual is generated by GPT, and it is designed to fit the mood of the article, with a generated caption that matches the content of the article.
PressMasterGPT offers both automatic and manual mode, providing greater flexibility and control over the publishing process. With the automatic mode, the program can post articles directly to WordPress via the REST API and replace the author’s avatar in WordPress automatically with the generated picture (via plugin). The program can even read and delete posts from the Python script, offering additional management capabilities.
Furthermore, PressMasterGPT generates a professional studio lighting picture of the author, generated by Dall-e. This adds a personal touch to the article, giving readers a visual representation of the author.
Generative pre-trained transformers (GPT) are a family of large language models (LLMs), which was introduced in 2018 by the American artificial intelligence organization OpenAI. GPT models are artificial neural networks that are based on the transformer architecture, pre-trained on large datasets of unlabelled text, and able to generate novel human-like text.
Images from the project
The clients say
Thorsten S. Wiedemann
Founder and CEO