{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from chatgpt_wrap import ChatGPTWrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "chatgpt = ChatGPTWrap()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "chatgpt.init_order(\n",
    "    phone_number = \"123456789\",\n",
    "    order_items = \"1x margharitta\\n2x sos majonezowy\",\n",
    "    delivery_address = \"ul. Amogusowa 1337, Suski Małe\",\n",
    "    payment_method = \"karta\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    while True:\n",
    "        message = input(\"You >\")\n",
    "        print(\"You >\" + message)\n",
    "\n",
    "        if message == \"\":\n",
    "            break\n",
    "\n",
    "        response = chatgpt.get_response(message)\n",
    "\n",
    "        print(\"ChatGPT >\" + response)\n",
    "\n",
    "        if \"CALLEND\" in response:\n",
    "            print(\"Conversation ended.\")\n",
    "            break\n",
    "\n",
    "except (KeyboardInterrupt, SystemExit):\n",
    "    exit()"
   ]
  }
 ],
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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