https://github.com/jamalsoueidan/chatgpt-categorizer

OpenAI's GPT model to categorize products into existing collections
https://github.com/jamalsoueidan/chatgpt-categorizer

chatgpt

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OpenAI's GPT model to categorize products into existing collections

• Host: GitHub
• URL: https://github.com/jamalsoueidan/chatgpt-categorizer
• Owner: jamalsoueidan
• Created: 2024-06-28T17:40:16.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-06-28T17:41:09.000Z (6 months ago)
• Last Synced: 2024-06-28T18:57:43.494Z (6 months ago)
• Topics: chatgpt
• Language: TypeScript
• Homepage:
• Size: 6.84 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Collection Categorizer with OpenAI

This project uses OpenAI's GPT model to categorize products into existing collections based on their title and description. The collections are fetched from a remote API, and the product details are processed through OpenAI to get the appropriate collection categorization.

## Prerequisites

Ensure you have the following installed:

- Node.js (v14 or later)

- npm (v6 or later)

## Setup

1. Clone the repository:

   ```bash

   git clone https://github.com/yourusername/your-repo-name.git

   cd your-repo-name

   ```

2. Install the required packages:

   ```bash

   npm install

   ```

3. Create a `.env` file in the root directory of the project and add your OpenAI API key:

   ```plaintext

   OPENAI_API_KEY=your_openai_api_key

   ```

## Usage

You can use the script by running the following command:

    ```bash

    node index.js

    ```

The `askOpenAI` function is called with a product title and description to categorize the product into the appropriate collections.

### Example

In the example provided in the script, the product title "dameklip" with an empty description is used:

    ```javascript

    askOpenAI("dameklip", "");

    ```

The script will:

1. Fetch the collections from the API at `http://www.bysisters.dk/api/categories`.

2. Send the product title and description along with the fetched collections to OpenAI.

3. Print the collection titles that the product fits into based on OpenAI's response.

## Code Explanation