134 lines
4.0 KiB
Plaintext
134 lines
4.0 KiB
Plaintext
{
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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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"metadata": {
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"vscode": {
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"languageId": "plaintext"
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}
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},
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"outputs": [],
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"source": [
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"# imports\n",
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"\n",
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"import os\n",
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"from dotenv import load_dotenv\n",
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"from openai import OpenAI"
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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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"metadata": {
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"vscode": {
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"languageId": "plaintext"
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}
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},
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"outputs": [],
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"source": [
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"# Load environment variables in a file called .env\n",
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"\n",
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"load_dotenv()\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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"metadata": {
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"vscode": {
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"languageId": "plaintext"
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}
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},
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"outputs": [],
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"source": [
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"openai = OpenAI()"
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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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"metadata": {
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"vscode": {
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"languageId": "plaintext"
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}
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},
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"outputs": [],
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"source": [
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"def summarize_cv(cv_text):\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 = [\n",
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" {\"role\": \"user\", \"content\": f\"Please summarize the following CV:\\n\\n{cv_text}\"}\n",
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" ]\n",
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" )\n",
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" return response.choices[0].message.content\n",
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"\n",
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"def generate_cover_letter(cv_summary, job_description):\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 = [\n",
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" {\"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",
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" {\"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",
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" ]\n",
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" )\n",
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" return response.choices[0].message.content\n",
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"\n",
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"# Read CV from a text file\n",
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"try:\n",
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" with open('resume.txt', 'r') as file:\n",
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" cv_text = file.read()\n",
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" \n",
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" # Summarize the CV\n",
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" cv_summary = summarize_cv(cv_text)\n",
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" print(\"CV Summary:\")\n",
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" print(cv_summary)\n",
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"\n",
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" # Get job description from user\n",
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" job_description = input(\"Enter the job description for the position you are applying for:\\n\")\n",
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"\n",
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" # Generate cover letter\n",
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" cover_letter = generate_cover_letter(cv_summary, job_description)\n",
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" print(\"\\nGenerated Cover Letter:\")\n",
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" print(cover_letter)\n",
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"\n",
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"except FileNotFoundError:\n",
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" print(\"The specified CV file was not found. Please ensure 'resume.txt' is in the correct directory.\")"
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]
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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": 4
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}
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