{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4e2a9393-7767-488e-a8bf-27c12dca35bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import library\n",
    "from openai import OpenAI\n",
    "import os\n",
    "from dotenv import load_dotenv\n",
    "\n",
    "# Load your API key from an .env file\n",
    "load_dotenv(override=True)\n",
    "api_key = os.getenv('OPENAI_API_KEY')\n",
    "openai = OpenAI()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "218fd8c4-052c-486c-899f-8431abe0f15d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Step 1: Create your prompts\n",
    "\n",
    "system_prompt = \"You are a thoughtful and kind assistant or counselor that gives some advices and supports for their worries and troubles based on its contents\"\n",
    "user_prompt = \"\"\"\n",
    "    Sometimes I worry that people depend on technology so much that they forget how to just be: \n",
    "    to sit in silence, to think slowly, to talk without screens in between. \n",
    "    It makes me wonder if we’re losing something human in the process.\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "97da9d34-d803-42f1-a4d7-f49c32ef545b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Step 2: Make the messages list\n",
    "\n",
    "messages = [{\"role\" : \"system\", \"content\" : system_prompt},\n",
    "            {\"role\" : \"user\", \"content\" : user_prompt}] # fill this in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e6dbe3d-0d36-4e95-8c14-dddef550f3a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Step 3: Call OpenAI\n",
    "\n",
    "response = openai.chat.completions.create(model=\"gpt-4o-mini\", messages=messages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "afbc67a3-d3e9-4594-bd84-815291d88781",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Step 4: print the result\n",
    "\n",
    "print(response.choices[0].message.content)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}