{ "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" } }, "nbformat": 4, "nbformat_minor": 5 }