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{ |
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"cells": [ |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "31d3c4a4-5442-4074-b812-42d60e0a0c04", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"#In this example we will fetch the job description by pasting the URL,then we upload CV. Only then ChatGPT will\n", |
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"#analyze CV against the fetched job description. If the CV is a good match then it will write a cover letter.\n", |
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"\n", |
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"#If \n", |
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" ##job posting url is fake/random text or \n", |
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" ##job posting is fake/random tex or \n", |
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" ##CV is fake/random text\n", |
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"#then ChatGPT will not analyze CV, it will give a generic response to enter the info correctly." |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "bc2eafe6-5255-4317-8ddd-a93695296043", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"pip install PyPDF2" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "cf45e9d5-4913-416c-9880-5be60a96c0e6", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Imports\n", |
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"import os\n", |
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"import io\n", |
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"import time\n", |
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"import requests\n", |
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"import PyPDF2\n", |
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"from dotenv import load_dotenv\n", |
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"from IPython.display import Markdown, display\n", |
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"from bs4 import BeautifulSoup\n", |
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"from openai import OpenAI\n", |
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"from ipywidgets import Textarea, FileUpload, Button, VBox, HTML" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "af8fea69-60aa-430c-a16c-8757b487e07a", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"load_dotenv(override=True)\n", |
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"api_key = os.getenv('OPENAI_API_KEY')\n", |
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"\n", |
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"# Check the key\n", |
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"\n", |
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"if not api_key:\n", |
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" print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", |
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"elif not api_key.startswith(\"sk-proj-\"):\n", |
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" 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", |
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"elif api_key.strip() != api_key:\n", |
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" 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", |
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"else:\n", |
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" print(\"API key found and looks good so far!\")" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "daee94d2-f82b-43f0-95d1-15370eda1bc7", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"openai = OpenAI()\n", |
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"\n", |
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"# If this doesn't work, try Kernel menu >> Restart Kernel and Clear Outputs Of All Cells, then run the cells from the top of this notebook down.\n", |
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"# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "0712dd1d-b6bc-41c6-84ec-d965f696f7aa", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Step 1: Create your prompts\n", |
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"\n", |
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"system_prompt = \"You are an assistant who analyzes user's CV against the job description \\\n", |
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" and provide a short summary if the user is fit for this job. If the user is fit for the job \\\n", |
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" write a cover letter for the user to apply for the job. Keep the cover letter professional, short, \\\n", |
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" and formal. \\\n", |
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" Important things to notice before analyzing CV:\\\n", |
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" 1. Always check if the CV is actually a CV or just random text\\\n", |
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" 2. Check if the job description fetched from the website is the job description or not\\\n", |
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" and ignore text related to navigation\\\n", |
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" 3. Also check the link of the job posting, if it actually resembles a job posting or is just random \\\n", |
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" fake website\\\n", |
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" 4. if any one of these two checks fails, do not analyze the CV against the Job description and give an\\\n", |
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" appropriate response as you think\\\n", |
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" 5. Always respond in Markdown.\"" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "70c972a6-8af6-4ff2-a338-6d7ba90e2045", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# A class to represent a Webpage\n", |
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"# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\n", |
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"\n", |
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"# Some websites need you to use proper headers when fetching them:\n", |
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"headers = {\n", |
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" \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36\"\n", |
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"}\n", |
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"\n", |
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"class Website:\n", |
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"\n", |
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" def __init__(self, url):\n", |
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" \"\"\"\n", |
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" Create this Website object from the given url using the BeautifulSoup library\n", |
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" \"\"\"\n", |
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" self.url = url\n", |
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" response = requests.get(url, headers=headers)\n", |
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" soup = BeautifulSoup(response.content, 'html.parser')\n", |
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" self.title = soup.title.string if soup.title else \"No title found\"\n", |
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" for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", |
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" irrelevant.decompose()\n", |
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" self.text = soup.body.get_text(separator=\"\\n\", strip=True)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "426dfd9b-3446-4543-9819-63040abd9644", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"for_user_prompt = {\n", |
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" 'job_posting_url':'',\n", |
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" 'job_posting': '',\n", |
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" 'cv_text': ''\n", |
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"}" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "79d9ccd6-f5fe-4ce8-982c-7235d2cf6a9f", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Create widgets - to create a box for the job posting text\n", |
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"job_posting_url_area = Textarea(\n", |
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" placeholder='Paste the URL of the job posting here, ONLY URL PLEASE',\n", |
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" description='Fetching job:',\n", |
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" disabled=False,\n", |
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" layout={'width': '800px', 'height': '50px'}\n", |
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")\n", |
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"\n", |
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"status_job_posting = HTML(value=\"<b>Status:</b> Waiting for inputs...\")\n", |
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"\n", |
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"# Create Submit Buttons\n", |
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"fetch_job_posting_button = Button(description='Fetch Job Posting', button_style='primary')\n", |
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"\n", |
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"def fetch_job_posting_action(b):\n", |
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" for_user_prompt['job_posting_url'] = job_posting_url_area.value\n", |
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" if for_user_prompt['job_posting_url']:\n", |
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" ed = Website(for_user_prompt['job_posting_url'])\n", |
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" status_job_posting.value = \"<b>Status:</b> Job posting fetched successfully!\"\n", |
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" fetch_job_posting_button.button_style='success'\n", |
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" for_user_prompt['job_posting']=ed.text\n", |
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" else:\n", |
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" status_job_posting.value = \"<b>Status:</b> Please enter a job posting url before submitting.\"\n", |
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"\n", |
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"# Attach actions to buttons\n", |
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"fetch_job_posting_button.on_click(fetch_job_posting_action)\n", |
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"\n", |
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"# Layout\n", |
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"job_posting_box = VBox([job_posting_url_area, fetch_job_posting_button])\n", |
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"\n", |
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"# Display all widgets\n", |
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"display(VBox([\n", |
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" HTML(value=\"<h2>Input Job Posting Url</h2>\"),\n", |
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" job_posting_box,\n", |
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" status_job_posting\n", |
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"]))" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "58d42786-1580-4d3f-b44f-5c52250c2935", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Print fetched job description\n", |
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"\n", |
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"#print(for_user_prompt['job_posting'])" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "cd258dec-9b57-40ce-b37c-2627acbcb5af", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Define file upload for CV\n", |
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"cv_upload = FileUpload(\n", |
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" accept='.pdf', # Only accept PDF files\n", |
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" multiple=False, # Only allow single file selection\n", |
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" description='Upload CV (PDF)'\n", |
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")\n", |
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"\n", |
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"status = HTML(value=\"<b>Status:</b> Waiting for inputs...\")\n", |
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"\n", |
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"# Create Submit Buttons\n", |
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"submit_cv_button = Button(description='Submit CV', button_style='success')\n", |
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"\n", |
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"# Functions\n", |
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"def submit_cv_action(change):\n", |
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"\n", |
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" if not for_user_prompt['cv_text']:\n", |
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" status.value = \"<b>Status:</b> Please upload a CV before submitting.\"\n", |
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" \n", |
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" if cv_upload.value:\n", |
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" # Get the uploaded file\n", |
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" uploaded_file = cv_upload.value[0]\n", |
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" content = io.BytesIO(uploaded_file['content'])\n", |
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" \n", |
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" try:\n", |
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" pdf_reader = PyPDF2.PdfReader(content) \n", |
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" cv_text = \"\"\n", |
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" for page in pdf_reader.pages: \n", |
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" cv_text += page.extract_text() \n", |
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" \n", |
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" # Store CV text in for_user_prompt\n", |
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" for_user_prompt['cv_text'] = cv_text\n", |
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" status.value = \"<b>Status:</b> CV uploaded and processed successfully!\"\n", |
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" except Exception as e:\n", |
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" status.value = f\"<b>Status:</b> Error processing PDF: {str(e)}\"\n", |
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"\n", |
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" time.sleep(0.5) # Short pause between upload and submit messages to display both\n", |
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" \n", |
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" if for_user_prompt['cv_text']:\n", |
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" #print(\"CV Submitted:\")\n", |
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" #print(for_user_prompt['cv_text'])\n", |
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" status.value = \"<b>Status:</b> CV submitted successfully!\"\n", |
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" \n", |
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"\n", |
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"# Attach actions to buttons\n", |
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"submit_cv_button.on_click(submit_cv_action)\n", |
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"\n", |
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"# Layout\n", |
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"cv_buttons = VBox([submit_cv_button])\n", |
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"\n", |
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"# Display all widgets\n", |
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"display(VBox([\n", |
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" HTML(value=\"<h2>Import CV and submit</h2>\"),\n", |
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" cv_upload,\n", |
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" cv_buttons,\n", |
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" status\n", |
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"]))" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "a7dd22a4-ca7b-4b8c-a328-6205cec689cb", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Prepare the user prompt that we will send to open ai (added URL for the context)\n", |
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"user_prompt = f\"\"\"\n", |
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"Job Posting: \n", |
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"{for_user_prompt['job_posting']}\n", |
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"\n", |
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"CV: \n", |
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"{for_user_prompt['cv_text']}\n", |
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"\n", |
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"Url:\n", |
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"{for_user_prompt['job_posting_url']}\n", |
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"\"\"\"" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "82b71c1a-895a-48e7-a945-13e615bb0096", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Define messages with system_prompt and user_prompt\n", |
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"def messages_for(system_prompt_input, user_prompt_input):\n", |
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" return [\n", |
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" {\"role\": \"system\", \"content\": system_prompt_input},\n", |
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" {\"role\": \"user\", \"content\": user_prompt_input}\n", |
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" ]" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "854dc42e-2bbd-493b-958f-c20484908300", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# And now: call the OpenAI API. \n", |
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"response = openai.chat.completions.create(\n", |
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" model = \"gpt-4o-mini\",\n", |
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" messages = messages_for(system_prompt, user_prompt)\n", |
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")\n", |
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"\n", |
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"# Response is provided in Markdown and displayed accordingly\n", |
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"display(Markdown(response.choices[0].message.content))" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "758d2cbe-0f80-4572-8724-7cba77f701dd", |
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"metadata": {}, |
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"outputs": [], |
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"source": [] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3 (ipykernel)", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.11.11" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 5 |
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} |
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