128 lines
3.8 KiB
Plaintext
128 lines
3.8 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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"id": "39e3e763-9b00-49eb-aead-034a2d0517a7",
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"metadata": {},
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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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"import requests\n",
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"from dotenv import load_dotenv\n",
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"from bs4 import BeautifulSoup\n",
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"from IPython.display import Markdown, display\n",
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"from openai import OpenAI\n",
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"\n",
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"# If you get an error running this cell, then please head over to the troubleshooting notebook!"
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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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"id": "f3bb5e2a-b70f-42ba-9f22-030a9c6bc9d1",
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"metadata": {},
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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(override=True)\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!\")\n"
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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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"id": "994f51fb-eab3-45a2-847f-87aebb92b17a",
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"metadata": {},
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"outputs": [],
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"source": [
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"openai = OpenAI()\n",
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"\n",
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"# If this doesn't work, try Kernel menu >> Restart Kernel and Clear Outputs Of All Cells, then run the cells from the top of this notebook down.\n",
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"# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions"
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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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"id": "a8125c6d-c884-4f65-b477-cab155e29ce3",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Step 1: Create your prompts\n",
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"\n",
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"system_prompt = \"You are an AI that suggests short and relevant subject lines for emails based on their content.\"\n",
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"user_prompt = \"\"\"\n",
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"Here is the content of an email:\n",
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"\n",
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"Dear Team,\n",
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"\n",
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"I hope you're all doing well. I wanted to remind you that our next project meeting is scheduled for this Friday at 3 PM. We will be discussing our progress and any blockers. Please make sure to review the latest updates before the meeting.\n",
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"\n",
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"Best, \n",
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"John\n",
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"\"\"\"\n",
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"\n",
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"# Step 2: Make the messages list\n",
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"\n",
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"messages = [ {\"role\": \"system\", \"content\": system_prompt},\n",
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" {\"role\": \"user\", \"content\": user_prompt}] # fill this in\n",
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"\n",
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"# Step 3: Call OpenAI\n",
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"\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=messages\n",
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")\n",
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"\n",
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"# Step 4: print the result\n",
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"\n",
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"print(\"Suggested Subject Line:\", response.choices[0].message.content)"
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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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"id": "1010ac80-1ee8-432f-aa3f-12af419dc23a",
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"metadata": {},
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"outputs": [],
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"source": []
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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": 5
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}
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