|
|
|
@ -0,0 +1,213 @@
|
|
|
|
|
{ |
|
|
|
|
"cells": [ |
|
|
|
|
{ |
|
|
|
|
"cell_type": "markdown", |
|
|
|
|
"id": "9ae10427-6ca2-4ac0-b6a0-e9206dd3cb52", |
|
|
|
|
"metadata": {}, |
|
|
|
|
"source": [ |
|
|
|
|
"### Using OpenAI gpt-4o-mini model to generate social media posts for events" |
|
|
|
|
] |
|
|
|
|
}, |
|
|
|
|
{ |
|
|
|
|
"cell_type": "code", |
|
|
|
|
"execution_count": 10, |
|
|
|
|
"id": "477fe060-a11f-424f-bac4-34c5121cf437", |
|
|
|
|
"metadata": {}, |
|
|
|
|
"outputs": [], |
|
|
|
|
"source": [ |
|
|
|
|
"# imports\n", |
|
|
|
|
"\n", |
|
|
|
|
"import os\n", |
|
|
|
|
"import requests\n", |
|
|
|
|
"from dotenv import load_dotenv\n", |
|
|
|
|
"from bs4 import BeautifulSoup\n", |
|
|
|
|
"from IPython.display import Markdown, display\n", |
|
|
|
|
"from openai import OpenAI" |
|
|
|
|
] |
|
|
|
|
}, |
|
|
|
|
{ |
|
|
|
|
"cell_type": "code", |
|
|
|
|
"execution_count": 11, |
|
|
|
|
"id": "61f012e5-cdba-48cb-ae74-df9659c23d90", |
|
|
|
|
"metadata": {}, |
|
|
|
|
"outputs": [ |
|
|
|
|
{ |
|
|
|
|
"name": "stdout", |
|
|
|
|
"output_type": "stream", |
|
|
|
|
"text": [ |
|
|
|
|
"API key found and looks good so far!\n" |
|
|
|
|
] |
|
|
|
|
} |
|
|
|
|
], |
|
|
|
|
"source": [ |
|
|
|
|
"# Load environment variables in a file called .env\n", |
|
|
|
|
"\n", |
|
|
|
|
"load_dotenv()\n", |
|
|
|
|
"api_key = os.getenv('OPENAI_API_KEY')\n", |
|
|
|
|
"\n", |
|
|
|
|
"# Check the key\n", |
|
|
|
|
"\n", |
|
|
|
|
"if not api_key:\n", |
|
|
|
|
" print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", |
|
|
|
|
"elif not api_key.startswith(\"sk-proj-\"):\n", |
|
|
|
|
" 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", |
|
|
|
|
"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 - see troubleshooting notebook\")\n", |
|
|
|
|
"else:\n", |
|
|
|
|
" print(\"API key found and looks good so far!\")" |
|
|
|
|
] |
|
|
|
|
}, |
|
|
|
|
{ |
|
|
|
|
"cell_type": "code", |
|
|
|
|
"execution_count": 12, |
|
|
|
|
"id": "19c79615-57aa-40e0-a83b-891f43df4f65", |
|
|
|
|
"metadata": {}, |
|
|
|
|
"outputs": [], |
|
|
|
|
"source": [ |
|
|
|
|
"openai = OpenAI()" |
|
|
|
|
] |
|
|
|
|
}, |
|
|
|
|
{ |
|
|
|
|
"cell_type": "code", |
|
|
|
|
"execution_count": 13, |
|
|
|
|
"id": "68ad05f8-dfcc-47b1-ba16-b35bedeff48b", |
|
|
|
|
"metadata": {}, |
|
|
|
|
"outputs": [], |
|
|
|
|
"source": [ |
|
|
|
|
"# A class to represent a Webpage\n", |
|
|
|
|
"# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\n", |
|
|
|
|
"\n", |
|
|
|
|
"# Some websites need you to use proper headers when fetching them:\n", |
|
|
|
|
"headers = {\n", |
|
|
|
|
" \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36\"\n", |
|
|
|
|
"}\n", |
|
|
|
|
"\n", |
|
|
|
|
"class Website:\n", |
|
|
|
|
"\n", |
|
|
|
|
" def __init__(self, url):\n", |
|
|
|
|
" \"\"\"\n", |
|
|
|
|
" Create this Website object from the given url using the BeautifulSoup library\n", |
|
|
|
|
" \"\"\"\n", |
|
|
|
|
" self.url = url\n", |
|
|
|
|
" response = requests.get(url, headers=headers)\n", |
|
|
|
|
" soup = BeautifulSoup(response.content, 'html.parser')\n", |
|
|
|
|
" self.title = soup.title.string if soup.title else \"No title found\"\n", |
|
|
|
|
" for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", |
|
|
|
|
" irrelevant.decompose()\n", |
|
|
|
|
" self.text = soup.body.get_text(separator=\"\\n\", strip=True)" |
|
|
|
|
] |
|
|
|
|
}, |
|
|
|
|
{ |
|
|
|
|
"cell_type": "code", |
|
|
|
|
"execution_count": 14, |
|
|
|
|
"id": "acff6c95-77a5-40f0-bf9f-7d47cec987fc", |
|
|
|
|
"metadata": {}, |
|
|
|
|
"outputs": [], |
|
|
|
|
"source": [ |
|
|
|
|
"# See how this function creates exactly the format above\n", |
|
|
|
|
"\n", |
|
|
|
|
"def messages_for(website):\n", |
|
|
|
|
" return [\n", |
|
|
|
|
" {\"role\": \"system\", \"content\": \"You are an assistant that analyzes the contents of a website \\\n", |
|
|
|
|
"and provides a short summary, ignoring text that might be navigation related. \\\n", |
|
|
|
|
"Respond in markdown.\"},\n", |
|
|
|
|
" {\"role\": \"user\", \"content\": user_prompt_for(website)}\n", |
|
|
|
|
" ]\n", |
|
|
|
|
"\n", |
|
|
|
|
"# A function that writes a User Prompt that asks for summaries of websites:\n", |
|
|
|
|
"\n", |
|
|
|
|
"def user_prompt_for(website):\n", |
|
|
|
|
" user_prompt = f\"You are looking at a website titled {website.title}\"\n", |
|
|
|
|
" user_prompt += \"\\nThe contents of this website is as follows; \\\n", |
|
|
|
|
"please provide a short summary of this website in markdown. \\\n", |
|
|
|
|
"If it includes news or announcements, then summarize these too.\\n\\n\"\n", |
|
|
|
|
" user_prompt += website.text\n", |
|
|
|
|
" return user_prompt\n", |
|
|
|
|
" \n", |
|
|
|
|
"# Generate a summary of content fetched by scraping the website\n", |
|
|
|
|
"\n", |
|
|
|
|
"def summarize(url):\n", |
|
|
|
|
" website = Website(url)\n", |
|
|
|
|
" response = openai.chat.completions.create(\n", |
|
|
|
|
" model = \"gpt-4o-mini\",\n", |
|
|
|
|
" messages = messages_for(website)\n", |
|
|
|
|
" )\n", |
|
|
|
|
" return response.choices[0].message.content" |
|
|
|
|
] |
|
|
|
|
}, |
|
|
|
|
{ |
|
|
|
|
"cell_type": "code", |
|
|
|
|
"execution_count": 15, |
|
|
|
|
"id": "b43f8cda-8a61-4773-83b2-bb8fe55a0cb2", |
|
|
|
|
"metadata": {}, |
|
|
|
|
"outputs": [ |
|
|
|
|
{ |
|
|
|
|
"data": { |
|
|
|
|
"text/markdown": [ |
|
|
|
|
"**Twitter Post:** \n", |
|
|
|
|
"🚀 Join us online for #StartupMastery on Jan 7, 6-9 PM GMT! Explore Lean Startup, Agile, & Design Thinking methodologies. Gain practical skills, access resources, and earn a certificate! Tickets from €74.98. Don't miss out! 🎟️🌟\n", |
|
|
|
|
"\n", |
|
|
|
|
"**Instagram Post:** \n", |
|
|
|
|
"🌟 Ready to boost your startup skills? Join us for **Startup Mastery**! 💡 On January 7 from 6 PM to 9 PM GMT, dive into Lean Startup, Agile, and Design Thinking with top-notch experts. Access recorded sessions, worksheets, and get certified! 🎟️ Tickets from €74.98. See you online! 🚀✨ #StartupMastery #LeanStartup #Agile #DesignThinking\n", |
|
|
|
|
"\n", |
|
|
|
|
"**Facebook Post:** \n", |
|
|
|
|
"🗓️ Exciting opportunity for entrepreneurs and startup enthusiasts! Attend our **Startup Mastery** online workshop on January 7, from 6 PM to 9 PM GMT. Learn about Lean Startup, Agile, and Design Thinking methodologies to enhance your startup journey. Enjoy a transformative experience with insights on MVP development, rapid prototyping, and feedback loops. Plus, you'll get access to recorded sessions and can earn a certificate! Limited tickets available from €74.98. Organizers: Lean Agile Zone. Don’t miss out! 🚀 #StartupMastery #Entrepreneurship" |
|
|
|
|
], |
|
|
|
|
"text/plain": [ |
|
|
|
|
"<IPython.core.display.Markdown object>" |
|
|
|
|
] |
|
|
|
|
}, |
|
|
|
|
"metadata": {}, |
|
|
|
|
"output_type": "display_data" |
|
|
|
|
} |
|
|
|
|
], |
|
|
|
|
"source": [ |
|
|
|
|
"# Step 1: Create your prompts\n", |
|
|
|
|
"WEBSITE_LINK = \"https://www.eventbrite.ie/e/startup-mastery-leveraging-lean-startup-agile-and-design-thinking-tickets-920474252267?aff=ebdssbcategorybrowse&keep_tld=1\"\n", |
|
|
|
|
"\n", |
|
|
|
|
"system_prompt = \"You are an assistant that analyzes the contents of an event \\\n", |
|
|
|
|
"and provides short summaries for a Twitter post, an instagram post and a facebook post.\\\n", |
|
|
|
|
"Ensure the summaries abide by the platform rules for each of the platforms.\"\n", |
|
|
|
|
"\n", |
|
|
|
|
"website_summary = summarize(WEBSITE_LINK)\n", |
|
|
|
|
"user_prompt = f\"The events details are as follows: {website_summary}. Please summarize the above. Capture details like time and location, please capture them as well.\"\n", |
|
|
|
|
"\n", |
|
|
|
|
"# Step 2: Make the messages list\n", |
|
|
|
|
"\n", |
|
|
|
|
"messages = [\n", |
|
|
|
|
" {\"role\": \"system\", \"content\": system_prompt},\n", |
|
|
|
|
" {\"role\": \"user\", \"content\": user_prompt},\n", |
|
|
|
|
"]\n", |
|
|
|
|
"\n", |
|
|
|
|
"# Step 3: Call OpenAI\n", |
|
|
|
|
"\n", |
|
|
|
|
"response = openai.chat.completions.create(model=\"gpt-4o-mini\", messages=messages)\n", |
|
|
|
|
"\n", |
|
|
|
|
"# Step 4: print the result\n", |
|
|
|
|
"\n", |
|
|
|
|
"display(Markdown(response.choices[0].message.content))" |
|
|
|
|
] |
|
|
|
|
} |
|
|
|
|
], |
|
|
|
|
"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": "3.11.11" |
|
|
|
|
} |
|
|
|
|
}, |
|
|
|
|
"nbformat": 4, |
|
|
|
|
"nbformat_minor": 5 |
|
|
|
|
} |