Multi-turn conversation best practice

API
, ,
5

(can you please remove the “solved” marker for this topic)

looks good to me, essentially you just append. the reply and new question to the end.

import os

import openai
from dotenv import load_dotenv
from flask import Flask, render_template, request

load_dotenv()  # load env vars from .env file
openai.api_key = os.getenv("OPENAI_API_KEY")

app = Flask(__name__)

# Global variable to hold the conversation
conversation = []


@app.route("/")
def index():
    global conversation
    conversation = []  # Clear the conversation when user starts a new conversation
    return render_template("index.html")


@app.route("/get_response", methods=["GET", "POST"])
def get_response():
    global conversation
    message = request.args.get("message")
    conversation.append({"role": "user", "content": message})
    completion = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=conversation
    )
    response = completion["choices"][0]["message"]["content"]
    conversation.append({"role": "assistant", "content": response})
    return response


if __name__ == "__main__":
    app.run(debug=True)
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