ChatGPT clone conversation retention

We successfully created a simple ChatGPT clone using OpenAI’s GPT-3.5 engine and Flask. Now, let’s take our clone a step further by implementing a feature that retains conversation history and incorporates it into the context of the conversation.

Retaining conversation history allows our ChatGPT clone to maintain context across interactions. Each exchange between the user and the AI is stored in a list called conversation_history. The following list keeps track of both the user’s messages and the AI’s responses:

1. We begin by initializing an empty list called conversation_history outside of our Flask application. This list will store all the messages exchanged between the user and the AI:

   conversation_history = []
   @app.route("/")
   def index():
       return render_template("index.html")

2. After receiving a message from the user, we initially append it to the conversation_history...