Add Day 5 translation challenge and exercise

week1/community-contributions/day5_challenge_exercise/day5_exercise.ipynb

@@ -0,0 +1,191 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "75e66023-eccf-46a9-8b70-7b21ede16ddd",
+   "metadata": {},
+   "source": [
+    "# End of week 1 exercise\n",
+    "\n",
+    "To demonstrate your familiarity with OpenAI API, and also Ollama, build a tool that takes a technical question,  \n",
+    "and responds with an explanation. This is a tool that you will be able to use yourself during the course!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "72d21373-edbd-4432-a29d-db8e6c9c5808",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# imports\n",
+    "\n",
+    "import os\n",
+    "from dotenv import load_dotenv\n",
+    "from IPython.display import Markdown, display, update_display\n",
+    "from openai import OpenAI\n",
+    "import ollama"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d4e4c15b-7ae8-43e9-839d-7cc49345be5a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!ollama pull llama3.2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7fb44166-1c65-42fc-9950-1960bc3cc432",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# constants\n",
+    "\n",
+    "MODEL_GPT = 'gpt-4o-mini'\n",
+    "MODEL_LLAMA = 'llama3.2'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "58f5f1e1-5296-4631-9698-8645d4621a0c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# set up environment\n",
+    "\n",
+    "# Get the openai key\n",
+    "\n",
+    "load_dotenv(override=True)\n",
+    "openai_api_key = os.getenv('OPENAI_API_KEY')\n",
+    "\n",
+    "if openai_api_key and openai_api_key.startswith('sk-proj-') and len(openai_api_key)>10:\n",
+    "    print(\"API key looks good so far\")\n",
+    "else:\n",
+    "    print(\"There might be a problem with your API key? Please visit the troubleshooting notebook!\")\n",
+    "\n",
+    "openai = OpenAI()\n",
+    "# Get the ollama key using the llama model\n",
+    "\n",
+    "ollama_via_openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12f07b33-76b9-42fa-9962-21f2a5796126",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "system_prompt = \"You are a knowledgeable technical instructor who helps students understand \\\n",
+    "complex concepts across a wide range of technical topics. Your expertise includes artificial]\\\n",
+    "intelligence, machine learning, large language models (LLMs), and programming in languages \\\n",
+    "such as Python, JavaScript, Java, and more. You also provide in-depth support for \\\n",
+    "AI engineering questions and other advanced technical subjects.\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "330abeb7-7db2-4f23-9d19-dd698058a400",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# here is the question; type over this to ask something new\n",
+    "\n",
+    "question = \"\"\"\n",
+    "Please explain what this code does and why:\n",
+    "yield from {book.get(\"author\") for book in books if book.get(\"author\")}\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bd11ad48-91ec-4cdf-9c57-99a0451e7a2f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get gpt-4o-mini to answer, with streaming\n",
+    "stream_GPT = openai.chat.completions.create(\n",
+    "        model=MODEL_GPT,\n",
+    "        messages=[\n",
+    "            {\"role\": \"system\", \"content\": system_prompt},\n",
+    "            {\"role\": \"user\", \"content\": question}\n",
+    "          ],\n",
+    "        stream = True\n",
+    "    )\n",
+    "response_GPT = \"\"\n",
+    "display_handle = display(Markdown(\"\"), display_id=True)\n",
+    "for chunk in stream_GPT:\n",
+    "    response_GPT += chunk.choices[0].delta.content or ''\n",
+    "    response_GPT = response_GPT.replace(\"```\",\"\").replace(\"markdown\", \"\")\n",
+    "    update_display(Markdown(response_GPT), display_id=display_handle.display_id)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dd2527ae-0d75-4f15-a45f-92075e3059d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get Llama 3.2 to answer\n",
+    "\n",
+    "response_llama = ollama_via_openai.chat.completions.create(\n",
+    "        model=MODEL_LLAMA,\n",
+    "        messages=[\n",
+    "            {\"role\": \"system\", \"content\": system_prompt},\n",
+    "            {\"role\": \"user\", \"content\": question}\n",
+    "          ],\n",
+    "    )\n",
+    "result = response_llama.choices[0].message.content\n",
+    "\n",
+    "display(Markdown(result))\n",
+    "\n",
+    "# import ollama\n",
+    "\n",
+    "# response = ollama.chat(model=MODEL_LLAMA, messages=[\n",
+    "#             {\"role\": \"system\", \"content\": system_prompt},\n",
+    "#             {\"role\": \"user\", \"content\": question}\n",
+    "#           ])\n",
+    "# print(response['message']['content'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c2747739-ba64-4067-902f-c1acc0dbdaca",
+   "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": "3.11.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}