00-playground/28-simple-chatgpt-clone.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import openai"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dotenv import dotenv_values\n",
    "config = dotenv_values(\".env\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "openai.api_key = config[\"OPENAI_API_KEY\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "completion = openai.ChatCompletion.create(\n",
    "    model=\"gpt-3.5-turbo\",\n",
    "    messages=[\n",
    "        {\"role\": \"user\", \"content\": \"hello!\"}\n",
    "    ],\n",
    "    max_tokens=10\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"content\": \"Hello! How can I assist you today?\",\n",
      "  \"role\": \"assistant\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "print(completion.choices[0].message)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "chat_messages = []\n",
    "\n",
    "while True:\n",
    "    user_message = input(\"You: \")\n",
    "\n",
    "    chat_messages.append({\"role\": \"user\", \"content\": user_message})\n",
    "\n",
    "    response = openai.ChatCompletion.create(\n",
    "        model=\"gpt-3.5-turbo\",\n",
    "        messages=chat_messages,\n",
    "        max_tokens=50\n",
    "    )\n",
    "\n",
    "    ai_response = completion.choices[0].message.content\n",
    "    chat_messages.append({\"role\": \"assistant\", \"content\": ai_response})\n",
    "    print('AI: ', ai_response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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