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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "d25b0aef-3e5e-4026-90ee-2b373bf262b7",
"metadata": {},
"outputs": [],
"source": [
"# Step 0: Import libraries and load environment variables\n",
"import os\n",
"from dotenv import load_dotenv\n",
"from IPython.display import Markdown, display\n",
"from openai import OpenAI\n",
"\n",
"load_dotenv(override=True)\n",
"api_key = os.getenv(\"OPENAI_API_KEY\")\n",
"\n",
"if not api_key:\n",
" print(\"No API key was found!\")\n",
"elif not api_key.startswith(\"sk-proj-\"):\n",
" print(\"An API key was found, but it does not start with 'sk-proj-'! Please ensure you are using the right key.\")\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.\")\n",
"else:\n",
" print(\"API key found and looks good so far!\")\n",
"\n",
"# Step 1: Create prompts\n",
"print(\"[INFO] Creating system prompt ...\")\n",
"system_prompt = \"You are an assistant that analyzes the contents of \\\n",
" email texts and suggests short subject lines for the email based \\\n",
" on the requested tone and language. Respond in markdown.\"\n",
"\n",
"print(\"[INFO] Creating user prompt ...\")\n",
"user_prompt = \"\"\"\n",
" The text below is an e-mail text for which you are required to \\\n",
" provide subject lines. Please provide two snarky, two funny, and \\\n",
" two formal short subject lines for the email text. Each of the six \\\n",
" subject lines should be presented in both English and French \\\n",
" languages, making a total of 12 subject lines. Please provide your \\\n",
" answer in markdown.\\\n",
" \n",
" \\n\\n\n",
" \n",
" Welcome to arXiv!\n",
"\n",
" Thank you for creating an account and joining the arXiv community. We look\n",
" forward to receiving your contribution.\n",
"\n",
" Help Pages\n",
" An overview on how to navigate and use arXiv can be found here:\n",
" https://arxiv.org/help\n",
" https://arxiv.org/about\n",
"\n",
" If you would like to know more about the submission process, please go here:\n",
" https://arxiv.org/help/submit\n",
"\n",
" Before Submitting to arXiv\n",
" The arXiv.org e-print archive is fully automated and processes nearly\n",
" 1,000 new submissions per day. To help us keep the process running smoothly\n",
" and efficiently please check your submission carefully for mistakes, typos\n",
" and layout issues. Once you have submitted your work please check your account\n",
" frequently for verification messages and other communication from arXiv.\n",
"\n",
" Contacting arXiv\n",
" We have provided extensive help pages to guide you through the process and\n",
" to answer the most common questions. If you have problems with the submission\n",
" process please contact us here:\n",
" https://arxiv.org/help/contact\n",
" We aim to assist submitters within one business day, but during times of high\n",
" volume or maintenance work we may be slightly delayed in our response.\n",
"\n",
" Thank you for your cooperation.\n",
"\"\"\"\n",
"\n",
"# Step 2: Make messages list\n",
"print(\"[INFO] Making messages list ...\")\n",
"messages = [\n",
" {\"role\": \"system\", \"content\": system_prompt},\n",
" {\"role\": \"user\", \"content\": user_prompt}\n",
"]\n",
"\n",
"# Step 3: Call OpenAI\n",
"print(\"[INFO] Calling OpenAI ...\")\n",
"openai = OpenAI()\n",
"response = openai.chat.completions.create(\n",
" model=\"gpt-4o-mini\",\n",
" messages=messages\n",
" )\n",
"\n",
"# Step 4: Print result\n",
"print(\"[INFO] Print result ...\")\n",
"display(Markdown(response.choices[0].message.content))\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b0a6676e-fb43-4725-9389-2acd74c13c4e",
"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": "3.12.8"
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"nbformat": 4,
"nbformat_minor": 5
}
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