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{ |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"id": "bfa3abd0-4e66-4117-96f9-7a71fbb6d0cb", |
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"metadata": {}, |
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"source": [ |
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"# Powerpoint Slides Summarizer\n", |
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"\n", |
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"This converts a Power Point presentation into notes that a student can easily skim through.\n", |
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"\n", |
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"Concepts Used:\n", |
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"- Converting Contents of PPT to text via python-pptx\n", |
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"- User and System Prompts\n", |
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"- Use of Open AI GPT-4o-mini via API key\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": "ab95eb49-6a2d-4c7d-9057-78a2cd9364cc", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"!pip install python-pptx" |
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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": "62715f16-7125-455e-98e7-5705871c0e4a", |
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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" |
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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": "ff42eab7-789d-44f8-a5cc-64baeebf3224", |
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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!\")" |
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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": "bce425c2-6d19-4c03-93ce-8930dabc61ee", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# creating an instance\n", |
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"openai = OpenAI()" |
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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": "c0c75e30-3b38-4a89-b7d3-a41a6f5dc650", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"from pptx import Presentation\n", |
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"\n", |
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"class PowerPoint():\n", |
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" def __init__(self,ppt):\n", |
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" \"\"\"\n", |
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" Creates a PowerPoint object, with name and text.\n", |
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" \"\"\"\n", |
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" self.ppt = ppt\n", |
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" self.title = os.path.basename(ppt)\n", |
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" self.text = self.extract_text()\n", |
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"\n", |
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" def extract_text(self):\n", |
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" \"\"\"\n", |
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" Extracts text from powerpoint.\n", |
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" \"\"\"\n", |
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" prs = Presentation(self.ppt)\n", |
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" text_content = []\n", |
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" \n", |
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" for slide in prs.slides:\n", |
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" for shape in slide.shapes:\n", |
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" if hasattr(shape, \"text\"):\n", |
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" text_content.append(shape.text)\n", |
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" \n", |
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" return \"\\n\".join(text_content)\n", |
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" " |
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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": "1963a055-87f4-4e47-8456-cac4d4ac57fc", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"system_prompt = \"You are an assistant that analyzes the contents \\\n", |
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"of a PowerPoint presentation, and provides a summary in the style of \\\n", |
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"a cheat-sheet, for students to easily learn key concepts from.\\\n", |
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"You are to ignore text that might be navigation-related\\\n", |
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"and respond in Markdown.\"" |
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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": "ca600e90-7d3f-4fc7-a698-1b8f2925f81e", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# A function that writes a User Prompt that asks for summaries of PowerPoints:\n", |
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"\n", |
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"def user_prompt_for(powerpoint):\n", |
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" user_prompt = f\"You are looking at a website titled {powerpoint.title}\"\n", |
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" user_prompt += \"\\nThe contents of this powerpoint are as follows; \\\n", |
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"please provide a summary of the content in markdown. \\\n", |
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"If it includes a question bank, add that along with short answers too.\\n\\n\"\n", |
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" user_prompt += powerpoint.text\n", |
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" return user_prompt" |
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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": "4fe19c56-9940-4528-b43a-c86798b215d2", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"def messages_for(powerpoint):\n", |
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" return [\n", |
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" {\"role\": \"system\", \"content\": system_prompt},\n", |
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" {\"role\": \"user\", \"content\": user_prompt_for(powerpoint)}\n", |
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" ]" |
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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": "f7704da5-90b0-40af-bbb4-7d589309f180", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# And now: call the OpenAI API. \n", |
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"\n", |
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"def summarize(powerpoint_path):\n", |
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" powerpoint = PowerPoint(powerpoint_path)\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_for(powerpoint)\n", |
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" )\n", |
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" return 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": "49d1d0cf-fa4b-4bea-bd68-a834145070ef", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"def display_summary(url):\n", |
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" summary = summarize(url)\n", |
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" display(Markdown(summary))" |
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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": "348078d1-e86f-4eb3-909d-33ab4ede984e", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"ppt_file = \"Theoretical Perspectives on Media and Technology.pptx\" \n", |
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"display_summary(ppt_file)" |
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] |
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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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