{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "playsound is relying on another python subprocess. Please use `pip install pygobject` if you want playsound to run more efficiently.\n"
     ]
    }
   ],
   "source": [
    "import openai\n",
    "from playsound import playsound\n",
    "from gtts import gTTS\n",
    "import speech_recognition as sr\n",
    "import gradio as gr\n",
    "\n",
    "openai.api_key = \"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\"\n",
    "# will hide the api key:\n",
    "# import openai_secret_manager\n",
    "# assert \"openai\" in openai_secret_manager.get_services()\n",
    "# secrets = openai_secret_manager.get_secret(\"openai\")\n",
    "# openai.api_key = secrets[\"api_key\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_response(prompt):\n",
    "    prompt = (f\"{prompt}\")\n",
    "\n",
    "    response = openai.ChatCompletion.create(\n",
    "        model=\"gpt-3.5-turbo\",\n",
    "        messages=[\n",
    "            {\"role\": \"user\", \"content\": f\"{prompt}\"},\n",
    "        ])\n",
    "\n",
    "    message = response.choices[0]['message']['content']\n",
    "    return message"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"I apologize, but as a language model AI, I don't have access to real-time information. Could you please check the time on your device or ask a nearby clock?\""
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "generate_response(\"What time is it?\")"
   ]
  }
 ],
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