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Merge pull request #624 from yolelukoie/community-contributions-branch

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Added my contributions to community-contributions
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Ed Donner
2025-08-31 15:37:13 +01:00
committed by GitHub
parent 4f4b8df6f2 c910bd11bb
commit 56e0ed2093
1 changed files with 211 additions and 0 deletions
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week1/community-contributions/day1_coverletter_tailored_to_CV_and_job_description.ipynb Normal file
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "d955d75d-4970-48fe-983e-a2a850cecfc5",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import requests\n",
"from dotenv import load_dotenv\n",
"from bs4 import BeautifulSoup\n",
"from IPython.display import Markdown, display\n",
"from openai import OpenAI\n",
"\n",
"import PyPDF2\n",
"from selenium import webdriver\n",
"from selenium.webdriver.chrome.options import Options\n",
"from selenium.webdriver.chrome.service import Service\n",
"from webdriver_manager.chrome import ChromeDriverManager\n",
"from bs4 import BeautifulSoup\n",
"import time"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6e1e5dd3-f91a-466b-8fd4-2dbf4eedf101",
"metadata": {},
"outputs": [],
"source": [
"load_dotenv(override = True)\n",
"api_key = os.getenv(\"OPENAI_API_KEY\")\n",
"\n",
"if not api_key:\n",
" print(\"No API key\")\n",
"elif not api_key.startswith(\"sk-proj-\"):\n",
" print(\"API key doesn't look correct, check it\")\n",
"elif api_key.strip() != api_key:\n",
" print(\"It looks like API key has an extra space - check it\")\n",
"else:\n",
" print(\"API key looks good, moving on!\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "67a6e583-1ef7-4b77-8886-c0e8c619933c",
"metadata": {},
"outputs": [],
"source": [
"openai = OpenAI()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "34a07806-dd68-4a86-8b6e-e1b2aaf0daa1",
"metadata": {},
"outputs": [],
"source": [
"# path to the CV\n",
"path = \"/Users/yanasklar/Documents/For applying/CV/СV_YanaSklyar_c.pdf\"\n",
"headers = {\n",
" \"User-Agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36\"\n",
"}\n",
"\n",
"class Vacancy:\n",
" def __init__(self, url, instructions = \"\"):\n",
" self.url = url\n",
" \n",
" # configure Chrome settings\n",
" options = Options()\n",
" # options.add_argument(\"--headless\") \n",
" \"\"\"\n",
" Headless mode runs the browser in the background (invisible).\n",
" However, some websites (like openai.com) block headless browsers.\n",
" So if this line is active, the page may not load correctly and you may not get the full content.\n",
" \"\"\"\n",
" options.add_argument(\"--disable-gpu\")\n",
" options.add_argument(\"--no-sandbox\")\n",
" options.add_argument(\"--window-size=1920x1080\")\n",
"\n",
" # use webdriver-manager to manage ChromeDriver\n",
" service = Service(ChromeDriverManager().install())\n",
" driver = webdriver.Chrome(service=service, options=options)\n",
" driver.get(url)\n",
" time.sleep(3) # let the page load\n",
"\n",
" # take the source of the page\n",
" page_source = driver.page_source\n",
" driver.quit()\n",
"\n",
" # analyse with BeautifulSoup\n",
" soup = BeautifulSoup(page_source, 'html.parser')\n",
"\n",
" self.title = soup.title.string if soup.title else \"No title found\"\n",
" for irrelevant in soup.body([\"img\", \"script\", \"style\", \"input\"]):\n",
" irrelevant.decompose()\n",
" self.text = soup.body.get_text(separator='\\n', strip=True)\n",
"\n",
" # read CV\n",
" with open(path, 'rb') as f:\n",
" reader = PyPDF2.PdfReader(f)\n",
" cv_text = \"\"\n",
" for page in reader.pages:\n",
" text = page.extract_text()\n",
" if text:\n",
" cv_text += text + \"\\n\"\n",
" self.cv_text = cv_text\n",
"\n",
" # summarise and print the description of the job\n",
" message = f\"\"\"Here is the content of a webpage: {self.text}.\n",
" Find job description on that page,\n",
" summarise it, include the list requirements and other important details.\n",
" \"\"\"\n",
" messages = [{\"role\":\"user\", \"content\":message}]\n",
" response = openai.chat.completions.create(model='gpt-4o-mini', messages = messages)\n",
" print(\"The job description: \", response.choices[0].message.content)\n",
"\n",
" # create prompts\n",
" self.system_prompt = \"\"\"You are a career assistant specializing in writing cover letter.\n",
" Your tasks:\n",
" 1. Read the candidate's CV (provided as text).\n",
" 2. Read the job description (provided from a webpage).\n",
" 3. Write a concise and compelling cover letter, that:\n",
" - Hightlights the most relevant experience and skills from the CV,\n",
" - Aligns directly wit the requirements in the job description,\n",
" - Adapts to cultural and professional norms in Israel.\n",
" The letter should be no longer than half a page, persuasive and tailored to make the applicant stand out.\n",
" \"\"\"\n",
"\n",
" user_prompt = f\"\"\"\n",
" Here is my CV:\n",
" {self.cv_text}\n",
" \n",
" The job vacancy is from the website {self.title}.\n",
" Here is the decription of the vacancy:\n",
" {self.text}\n",
" Please write a cover letter that connects my background to this vacancy.\n",
" Make it persuasive and suitable for Israeli job market.\n",
" \"\"\"\n",
" \n",
" if instructions:\n",
" user_prompt += f\"Additional instructions: {instructions}\"\n",
" self.user_prompt = user_prompt"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9160b9f5-177b-4477-8e54-3a212f275a22",
"metadata": {},
"outputs": [],
"source": [
"def cover_letter(url, instructions = \"\"):\n",
" vacancy = Vacancy(url, instructions)\n",
" messages = [\n",
" {\"role\":\"system\", \"content\":vacancy.system_prompt},\n",
" {\"role\":\"user\", \"content\":vacancy.user_prompt}\n",
" ]\n",
" response = openai.chat.completions.create(model='gpt-4o-mini', messages=messages)\n",
" if not response:\n",
" print(\"smt went wrong\")\n",
" print(response.choices[0].message.content)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1de4b55c-a8da-445f-9865-c7a8bafdbc3c",
"metadata": {},
"outputs": [],
"source": [
"a = \"https://www.linkedin.com/jobs/view/4285898438/?alternateChannel=search&eBP=CwEAAAGY3R5LOabDLOVTy6xvBcSlWyAkIXQz8IRkSM3rgsqTPtvcEvUSnq980O7oLV2Hh_ldTpc2cBBmRq1IRnLtp7TzEcUvndFEXeCuviA5yo7oFYfW7KoEp4SPNzmf3D9LtnSgk9Iudy3skk6n3hVOtyDpx8Zm0AiTWPvdwCaZ_w5Xu8lAG797NRNDco71ynm99LmCOC9Go7DdDQ2eLewamc4SOsA4xWcXy0GmZVy3kBF1AprK3ylAYR2wrm5-hp4lRpbbfUxXjkEOG6H_GbPpKtN-N8mYnMd9w_cej5qQmTFX86gqSi6HuXFtK0h46TbOS5r-YQksVd1Yb4kYZnDznWXPLbxp04xVJSPzsHoa05wQdOfZ2UUSoMTJmic3n3qfV2u9Bp8n4sLYtINpzKdvm4eADGGkN-nR3O2oPeas9XjGbBwNdjXHAcX_PJoRwlFdQ1gVkYQEF1T7qAfXUJoUt-fv4oLxGnIgV6yJuMgw&refId=9NA7Bvt%2FhCqDkFNRGu1dPA%3D%3D&trackingId=W11hvpcIjHA%2FjU%2FFZ%2B1uAA%3D%3D\"\n",
"b = \"The style of the cover letter should informal, as if i talked to a friend about my background\"\n",
"cover_letter(a, b)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0feb3cbe-686a-4a97-9ca3-a0cb32a24c5d",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python (llms)",
"language": "python",
"name": "llms"
},
"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
}