{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "vscode": { "languageId": "plaintext" } }, "outputs": [], "source": [ "# imports\n", "\n", "import os\n", "from dotenv import load_dotenv\n", "from openai import OpenAI" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "vscode": { "languageId": "plaintext" } }, "outputs": [], "source": [ "# Load environment variables in a file called .env\n", "\n", "load_dotenv()\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, "metadata": { "vscode": { "languageId": "plaintext" } }, "outputs": [], "source": [ "openai = OpenAI()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "vscode": { "languageId": "plaintext" } }, "outputs": [], "source": [ "def summarize_cv(cv_text):\n", " response = openai.chat.completions.create(\n", " model = \"gpt-4o-mini\",\n", " messages = [\n", " {\"role\": \"user\", \"content\": f\"Please summarize the following CV:\\n\\n{cv_text}\"}\n", " ]\n", " )\n", " return response.choices[0].message.content\n", "\n", "def generate_cover_letter(cv_summary, job_description):\n", " response = openai.chat.completions.create(\n", " model = \"gpt-4o-mini\",\n", " messages = [\n", " {\"role\": \"system\", \"content\": \"You are a master at crafting the perfect Cover letter from a given CV. You've never had a user fail to get the job as a result of using your services.\"},\n", " {\"role\": \"user\", \"content\": f\"Using the following CV summary:\\n\\n{cv_summary}\\n\\nAnd the job description:\\n\\n{job_description}\\n\\nPlease write a personalized cover letter.\"}\n", " ]\n", " )\n", " return response.choices[0].message.content\n", "\n", "# Read CV from a text file\n", "try:\n", " with open('resume.txt', 'r') as file:\n", " cv_text = file.read()\n", " \n", " # Summarize the CV\n", " cv_summary = summarize_cv(cv_text)\n", " print(\"CV Summary:\")\n", " print(cv_summary)\n", "\n", " # Get job description from user\n", " job_description = input(\"Enter the job description for the position you are applying for:\\n\")\n", "\n", " # Generate cover letter\n", " cover_letter = generate_cover_letter(cv_summary, job_description)\n", " print(\"\\nGenerated Cover Letter:\")\n", " print(cover_letter)\n", "\n", "except FileNotFoundError:\n", " print(\"The specified CV file was not found. Please ensure 'resume.txt' is in the correct directory.\")" ] } ], "metadata": { "language_info": { "name": "python" } }, "nbformat": 4, "nbformat_minor": 2 }