From the uDemy course on LLM engineering.
https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
126 lines
4.6 KiB
126 lines
4.6 KiB
{ |
|
"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 |
|
}
|
|
|