{ "cells": [ { "cell_type": "code", "execution_count": null, "id": "31d3c4a4-5442-4074-b812-42d60e0a0c04", "metadata": {}, "outputs": [], "source": [ "#In this example we will fetch the job description by pasting the URL,then we upload CV. Only then ChatGPT will\n", "#analyze CV against the fetched job description. If the CV is a good match then it will write a cover letter.\n", "\n", "#If \n", " ##job posting url is fake/random text or \n", " ##job posting is fake/random tex or \n", " ##CV is fake/random text\n", "#then ChatGPT will not analyze CV, it will give a generic response to enter the info correctly." ] }, { "cell_type": "code", "execution_count": null, "id": "bc2eafe6-5255-4317-8ddd-a93695296043", "metadata": {}, "outputs": [], "source": [ "pip install PyPDF2" ] }, { "cell_type": "code", "execution_count": null, "id": "cf45e9d5-4913-416c-9880-5be60a96c0e6", "metadata": {}, "outputs": [], "source": [ "# Imports\n", "import os\n", "import io\n", "import time\n", "import requests\n", "import PyPDF2\n", "from dotenv import load_dotenv\n", "from IPython.display import Markdown, display\n", "from bs4 import BeautifulSoup\n", "from openai import OpenAI\n", "from ipywidgets import Textarea, FileUpload, Button, VBox, HTML" ] }, { "cell_type": "code", "execution_count": null, "id": "af8fea69-60aa-430c-a16c-8757b487e07a", "metadata": {}, "outputs": [], "source": [ "load_dotenv(override=True)\n", "api_key = os.getenv('OPENAI_API_KEY')\n", "\n", "# Check the key\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": "daee94d2-f82b-43f0-95d1-15370eda1bc7", "metadata": {}, "outputs": [], "source": [ "openai = OpenAI()\n", "\n", "# 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", "# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions" ] }, { "cell_type": "code", "execution_count": null, "id": "0712dd1d-b6bc-41c6-84ec-d965f696f7aa", "metadata": {}, "outputs": [], "source": [ "# Step 1: Create your prompts\n", "\n", "system_prompt = \"You are an assistant who analyzes user's CV against the job description \\\n", " and provide a short summary if the user is fit for this job. If the user is fit for the job \\\n", " write a cover letter for the user to apply for the job. Keep the cover letter professional, short, \\\n", " and formal. \\\n", " Important things to notice before analyzing CV:\\\n", " 1. Always check if the CV is actually a CV or just random text\\\n", " 2. Check if the job description fetched from the website is the job description or not\\\n", " and ignore text related to navigation\\\n", " 3. Also check the link of the job posting, if it actually resembles a job posting or is just random \\\n", " fake website\\\n", " 4. if any one of these two checks fails, do not analyze the CV against the Job description and give an\\\n", " appropriate response as you think\\\n", " 5. Always respond in Markdown.\"" ] }, { "cell_type": "code", "execution_count": null, "id": "70c972a6-8af6-4ff2-a338-6d7ba90e2045", "metadata": {}, "outputs": [], "source": [ "# A class to represent a Webpage\n", "# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\n", "\n", "# Some websites need you to use proper headers when fetching them:\n", "headers = {\n", " \"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", "}\n", "\n", "class Website:\n", "\n", " def __init__(self, url):\n", " \"\"\"\n", " Create this Website object from the given url using the BeautifulSoup library\n", " \"\"\"\n", " self.url = url\n", " response = requests.get(url, headers=headers)\n", " soup = BeautifulSoup(response.content, 'html.parser')\n", " self.title = soup.title.string if soup.title else \"No title found\"\n", " for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", " irrelevant.decompose()\n", " self.text = soup.body.get_text(separator=\"\\n\", strip=True)" ] }, { "cell_type": "code", "execution_count": null, "id": "426dfd9b-3446-4543-9819-63040abd9644", "metadata": {}, "outputs": [], "source": [ "for_user_prompt = {\n", " 'job_posting_url':'',\n", " 'job_posting': '',\n", " 'cv_text': ''\n", "}" ] }, { "cell_type": "code", "execution_count": null, "id": "79d9ccd6-f5fe-4ce8-982c-7235d2cf6a9f", "metadata": {}, "outputs": [], "source": [ "# Create widgets - to create a box for the job posting text\n", "job_posting_url_area = Textarea(\n", " placeholder='Paste the URL of the job posting here, ONLY URL PLEASE',\n", " description='Fetching job:',\n", " disabled=False,\n", " layout={'width': '800px', 'height': '50px'}\n", ")\n", "\n", "status_job_posting = HTML(value=\"Status: Waiting for inputs...\")\n", "\n", "# Create Submit Buttons\n", "fetch_job_posting_button = Button(description='Fetch Job Posting', button_style='primary')\n", "\n", "def fetch_job_posting_action(b):\n", " for_user_prompt['job_posting_url'] = job_posting_url_area.value\n", " if for_user_prompt['job_posting_url']:\n", " ed = Website(for_user_prompt['job_posting_url'])\n", " status_job_posting.value = \"Status: Job posting fetched successfully!\"\n", " fetch_job_posting_button.button_style='success'\n", " for_user_prompt['job_posting']=ed.text\n", " else:\n", " status_job_posting.value = \"Status: Please enter a job posting url before submitting.\"\n", "\n", "# Attach actions to buttons\n", "fetch_job_posting_button.on_click(fetch_job_posting_action)\n", "\n", "# Layout\n", "job_posting_box = VBox([job_posting_url_area, fetch_job_posting_button])\n", "\n", "# Display all widgets\n", "display(VBox([\n", " HTML(value=\"

Input Job Posting Url

\"),\n", " job_posting_box,\n", " status_job_posting\n", "]))" ] }, { "cell_type": "code", "execution_count": null, "id": "58d42786-1580-4d3f-b44f-5c52250c2935", "metadata": {}, "outputs": [], "source": [ "# Print fetched job description\n", "\n", "#print(for_user_prompt['job_posting'])" ] }, { "cell_type": "code", "execution_count": null, "id": "cd258dec-9b57-40ce-b37c-2627acbcb5af", "metadata": {}, "outputs": [], "source": [ "# Define file upload for CV\n", "cv_upload = FileUpload(\n", " accept='.pdf', # Only accept PDF files\n", " multiple=False, # Only allow single file selection\n", " description='Upload CV (PDF)'\n", ")\n", "\n", "status = HTML(value=\"Status: Waiting for inputs...\")\n", "\n", "# Create Submit Buttons\n", "submit_cv_button = Button(description='Submit CV', button_style='success')\n", "\n", "# Functions\n", "def submit_cv_action(change):\n", "\n", " if not for_user_prompt['cv_text']:\n", " status.value = \"Status: Please upload a CV before submitting.\"\n", " \n", " if cv_upload.value:\n", " # Get the uploaded file\n", " uploaded_file = cv_upload.value[0]\n", " content = io.BytesIO(uploaded_file['content'])\n", " \n", " try:\n", " pdf_reader = PyPDF2.PdfReader(content) \n", " cv_text = \"\"\n", " for page in pdf_reader.pages: \n", " cv_text += page.extract_text() \n", " \n", " # Store CV text in for_user_prompt\n", " for_user_prompt['cv_text'] = cv_text\n", " status.value = \"Status: CV uploaded and processed successfully!\"\n", " except Exception as e:\n", " status.value = f\"Status: Error processing PDF: {str(e)}\"\n", "\n", " time.sleep(0.5) # Short pause between upload and submit messages to display both\n", " \n", " if for_user_prompt['cv_text']:\n", " #print(\"CV Submitted:\")\n", " #print(for_user_prompt['cv_text'])\n", " status.value = \"Status: CV submitted successfully!\"\n", " \n", "\n", "# Attach actions to buttons\n", "submit_cv_button.on_click(submit_cv_action)\n", "\n", "# Layout\n", "cv_buttons = VBox([submit_cv_button])\n", "\n", "# Display all widgets\n", "display(VBox([\n", " HTML(value=\"

Import CV and submit

\"),\n", " cv_upload,\n", " cv_buttons,\n", " status\n", "]))" ] }, { "cell_type": "code", "execution_count": null, "id": "a7dd22a4-ca7b-4b8c-a328-6205cec689cb", "metadata": {}, "outputs": [], "source": [ "# Prepare the user prompt that we will send to open ai (added URL for the context)\n", "user_prompt = f\"\"\"\n", "Job Posting: \n", "{for_user_prompt['job_posting']}\n", "\n", "CV: \n", "{for_user_prompt['cv_text']}\n", "\n", "Url:\n", "{for_user_prompt['job_posting_url']}\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": null, "id": "82b71c1a-895a-48e7-a945-13e615bb0096", "metadata": {}, "outputs": [], "source": [ "# Define messages with system_prompt and user_prompt\n", "def messages_for(system_prompt_input, user_prompt_input):\n", " return [\n", " {\"role\": \"system\", \"content\": system_prompt_input},\n", " {\"role\": \"user\", \"content\": user_prompt_input}\n", " ]" ] }, { "cell_type": "code", "execution_count": null, "id": "854dc42e-2bbd-493b-958f-c20484908300", "metadata": {}, "outputs": [], "source": [ "# And now: call the OpenAI API. \n", "response = openai.chat.completions.create(\n", " model = \"gpt-4o-mini\",\n", " messages = messages_for(system_prompt, user_prompt)\n", ")\n", "\n", "# Response is provided in Markdown and displayed accordingly\n", "display(Markdown(response.choices[0].message.content))" ] }, { "cell_type": "code", "execution_count": null, "id": "758d2cbe-0f80-4572-8724-7cba77f701dd", "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": "3.11.11" } }, "nbformat": 4, "nbformat_minor": 5 }