added my contributions to community- contibutions

This commit is contained in:
bharathchandrareddy
2025-08-10 16:27:57 -05:00
parent e6f086463a
commit f38c06c852

View File

@@ -0,0 +1,179 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "606e9c73-50fe-46b9-8df3-ae2246c00a3e",
"metadata": {},
"source": [
"# Business Use Case - LLM based Resume Upgrader"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "919f6546-80ec-4d4c-8a80-00228f50e4a0",
"metadata": {},
"outputs": [],
"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",
"metadata": {},
"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": []
}
],
"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
}