Merge pull request #280 from nfirbas/main

week 1: Michelin-star cooking assistant

week1/community-contributions/day1_michelin_start_cook.ipynb

@@ -0,0 +1,87 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "44aba2a0-c6eb-4fc1-a5cc-0a8f8679dbb8",
+   "metadata": {},
+   "source": [
+    "## Michelin-star cook..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d4d58124-5e9a-4f5a-9e0a-ff74f43896a8",
+   "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\n",
+    "\n",
+    "# Load environment variables in a file called .env\n",
+    "\n",
+    "load_dotenv(override=True)\n",
+    "api_key = os.getenv('OPENAI_API_KEY')\n",
+    "\n",
+    "openai = OpenAI()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "67dc3099-2ccc-4ee8-8ff2-0dbbe4ae2fcb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "system_prompt = \"You are a professional chef in a Michelin-star restaurant. You will help me cook restaurant-style dishes using the ingredients I have left in my refrigerator.\\\n",
+    "You will provide detailed instructions with precise times and measurements in grams and include calorie information for raw ingredients, not cooked ones.\\\n",
+    "Add the caloric information at the end. Your responses should be formatted in Markdown.\"\n",
+    "\n",
+    "user_prompt = \"\"\"\n",
+    "Help me with a recipe using the ingredients I have left in the refrigerator. I have spinach, eggs, pasta, rice, chicken, beef, carrots, potatoes, butter, milk, cheese, tomatoes, red peppers, and all spices in the pantry.\\n\\n\n",
+    "\"\"\"\n",
+    "\n",
+    "messages = [\n",
+    "    {\"role\": \"system\", \"content\": system_prompt},\n",
+    "    {\"role\": \"user\", \"content\": user_prompt},\n",
+    "]\n",
+    "    \n",
+    "response = openai.chat.completions.create(\n",
+    "        model = \"gpt-4o-mini\",\n",
+    "        messages = messages\n",
+    "    )\n",
+    "\n",
+    "# Step 4: print the result in markdown format\n",
+    "pretty_response = Markdown(response.choices[0].message.content)\n",
+    "display(pretty_response)"
+   ]
+  }
+ ],
+ "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
+}