This is a demonstration showcasing the effectiveness of 'text-davinci-003' in simulating Turkish appointment requests using NLP. The service operates on port 3000, supports concurrent HTTP connections, and offers a single endpoint: /extract-intent.

• Node.js (version 12 or above)
• npm (Node Package Manager)

1. Clone the repository:

git clone https://github.com/halilbrhmtrn/gpt-example.git

2. Navigate to the project directory:

cd gpt-example

3. Install the dependencies:

npm install

1. Start the server:

npm run start

2. The server will now be running and listening on port 3000.

To submit a message to the server, make a POST request to the /extract-intent endpoint. You should provide the message in the request body as JSON data with the message.

Example using cURL:

curl -X POST -H "Content-Type: application/json" -d "{\"message\": \"Ağustosun son haftası herhangi bir gün öğleden sonra 3'te müsait misiniz?\"}" http://localhost:3000/extract-intent

Run example test cases by:

npm run test

• @halilbrhmtrn