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   "source": [
    "# Business Use Case - LLM based Resume Upgrader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "919f6546-80ec-4d4c-8a80-00228f50e4a0",
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   "source": [
    "# imports\n",
    "\n",
    "import os\n",
    "from openai import OpenAI\n",
    "from dotenv import load_dotenv\n",
    "from IPython.display import Markdown, display"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2f5b02c-f782-4578-8a91-07891c39ceb0",
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   "source": [
    "steps to perform\n",
    "-> load API key from env file\n",
    "-> create a function to call llm api\n",
    "-> create messages for system prompt and user prompt\n",
    "-> display the llm output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31aaa20e-4996-43cb-b43a-a1aef80fd391",
   "metadata": {},
   "outputs": [],
   "source": [
    "load_dotenv()\n",
    "api_key = os.getenv('OPENAI_API_KEY')\n",
    "# error handling\n",
    "\n",
    "if not api_key:\n",
    "    print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n",
    "elif not api_key.startswith(\"sk-proj-\"):\n",
    "    print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n",
    "elif api_key.strip() != api_key:\n",
    "    print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n",
    "else:\n",
    "    print(\"API key found and looks good so far!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92f65c91-ca7f-47e6-9fd7-d63b278ba264",
   "metadata": {},
   "outputs": [],
   "source": [
    "openai = OpenAI()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98fc7bac-07c8-4801-9225-8f843837f3c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# system prompt\n",
    "\n",
    "system_prompt = \"\"\"You are a helpful resume editor assistant that provides required assistance in changing a resume to match the given job descrption role \\\n",
    "You are given a resume and job description, your job is to understand the resume and job description to suggest upto 6 missing key words in the resume. Then you have to \n",
    "suggest how the user can improve his resume by giving upto 3 example sentences using the suggest keywords to fit into their resume.\n",
    "by using the following structure provide your response \\\n",
    "Sturcture:\n",
    "Job role : [Job Role]:\n",
    "Candidate Name : [Candidate Name]\n",
    "Missing Key words in Resume Based on Given job description:\n",
    " - [] Missing key words\n",
    " -[] Missing key words\n",
    "\n",
    "\n",
    "Suggestion:\n",
    " - [] # write a sentence including the key words to put them in the resume\n",
    " - [] # write a sentence including the key words to put them in the resume\n",
    "\n",
    "Guidelines:\n",
    "- give proper keyword suggestions which are essential for the job function. Do not give any unnecesary suggestions\n",
    "- Keep the suggested sentences less that 50 words\n",
    "- \n",
    "\"\"\"\n",
    "user_prompt = f'Give me suggestions on how to improve my resume and for the given job description '\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0d9c40b5-8e27-41b9-8b88-2c83e7d2b3ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "# call openai api\n",
    "def resume_upgrader(resume:str, job_description:str):\n",
    "    user_prompt = f'Give me suggestions on how to improve my resume {resume} and for the given job description {job_description}'\n",
    "    messages = [\n",
    "             {'role': 'system', 'content': system_prompt},\n",
    "             {'role': 'user', 'content': user_prompt}\n",
    "         ]\n",
    "    try:\n",
    "         \n",
    "         response = openai.chat.completions.create(model =\"gpt-4o-mini\", messages = messages)\n",
    "         return response.choices[0].message.content\n",
    "    except:\n",
    "        print('got error while retting the response from api')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5aa29465-c119-4178-90f1-3ebdc9eeb11a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_api_response(response_markdown):\n",
    "    \"\"\"Print the markdown response\"\"\"\n",
    "    display(Markdown(response_markdown))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "82a92034-6722-4e78-a901-b4ef2b9cbb84",
   "metadata": {},
   "outputs": [],
   "source": [
    "resume = input(\"Paste your resume in here\")\n",
    "job_description = input(\"paste your job descritpion here\")\n",
    "response = resume_upgrader(resume, job_description)\n",
    "print_api_response(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d0be536f-e890-473f-8c68-767bc0e3b47c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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