This is a Node.js app that retrieves recent questions from a StackExchange site and uses ChatGPT to analyze the questions for common themes. The app is designed to help generate ideas for tutorial and blog post content based on the topics that are currently popular on a particular StackExchange site.
To use this app, you'll need to have Node.js installed on your machine. Once you have Node.js installed, you can clone the project from GitHub:
git clone https://github.com/hummusonrails/stackexchange-tutorial-themes.git
After cloning the project, navigate to the project directory and install the required dependencies:
cd stackexhange-tutorial-themes
npm install
Before you can use the app, you'll need to set up a few configuration variables. These variables can be set using environment variables or a .env file.
The app uses the OpenAI API to analyze the questions and generate content ideas. To use the API, you'll need an API key from OpenAI. You can obtain an API key by creating an account on the OpenAI website.
Once you have an API key, you can set it as an environment variable or in a .env file. To set the API key as an environment variable, run the following command in your terminal:
export OPENAI_API_KEY=your-api-key
To set the API key in a .env file, create a new file named .env in the project directory and add the following line:
OPENAI_API_KEY=your-api-key
Replace your-api-key with your actual API key.
The app is designed to work with a specific StackExchange site. You'll need to specify the site's API endpoint and other parameters in the index.js file. Specifically, you'll need to update the following lines of code:
const apiUrl = 'STACK EXCHANGE API ENDPOINT';
To use the app, simply run the following command in your terminal:
npm start
The app will retrieve recent questions from the specified StackExchange site, analyze them using ChatGPT, and generate tutorial and blog post ideas based on the common themes.
The results will be available in your browser locally on the 3000 port. For example, if you're running the app on your local machine, you can view the results at http://localhost:3000. Once you've deployed the app to a server, you can view the results at the address of the server.
New results will be generated once a month, and the results will be updated automatically.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
This project is licensed under the MIT License. See the LICENSE file for more information.