Build AI Chat Bot using ChatGPT API 👉 gpt-3.5-turbo 👈 #chatgpt #openai

The tutorial begins with the presenter announcing the release of the ChatGPT API called GPT-3.5-turbo and their intention to build a clone. They start by asking ChatGPT itself to generate code for an HTML frontend that allows users to send messages via a POST request to an API endpoint, with different background colors for user and response messages. Next, they request Python Flask server code from ChatGPT, which initially suggests using the DaVinci model. When the presenter asks ChatGPT about the GPT-3.5-turbo API, ChatGPT doesn't know about its own API implementation, so the presenter consults the API reference documentation directly. They copy the example code, clean it up, add their API key, and modify it to handle message content properly. During testing, they encounter an error because they need to return the message object correctly, which they fix along with adding error handling for cases where the API doesn't respond. After getting the basic functionality working, the presenter improves the user interface by creating a CSS file and adding user and ChatGPT images to distinguish between messages. They also implement code block formatting using pre and code tags, and finally add syntax highlighting using highlight.js to make code responses more readable and visually appealing.