From b140c9d6d8294e9779707256fec043606cc4d759 Mon Sep 17 00:00:00 2001
From: Antonina Bagrin <antoninabagrin@Antoninas-MacBook-Pro.local>
Date: Sat, 9 Aug 2025 11:33:38 +0300
Subject: [PATCH] Added my contribution week_1 to community-contribution

---
 .../week1_tennis.ipynb                        | 154 ++++++++++++++++++
 1 file changed, 154 insertions(+)
 create mode 100644 week1/community-contributions/week1_tennis.ipynb

diff --git a/week1/community-contributions/week1_tennis.ipynb b/week1/community-contributions/week1_tennis.ipynb
new file mode 100644
index 0000000..9c36a80
--- /dev/null
+++ b/week1/community-contributions/week1_tennis.ipynb
@@ -0,0 +1,154 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fe12c203-e6a6-452c-a655-afb8a03a4ff5",
+   "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": "markdown",
+   "id": "0ea775a9-12c7-4a63-a676-d7bd0cdb100c",
+   "metadata": {},
+   "source": [
+    "# imports\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": "4a456906-915a-4bfd-bb9d-57e505c5093f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# constants\n",
+    "MODEL_GPT = 'gpt-4o-mini'\n",
+    "MODEL_LLAMA = 'llama3.2'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a8d7923c-5f28-4c30-8556-342d7c8497c1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# set up environment\n",
+    "load_dotenv(override=True)\n",
+    "api_key = os.getenv('OPENAI_API_KEY')\n",
+    "\n",
+    "if not api_key:\n",
+    "    print(\"No API key was found!\")\n",
+    "else:\n",
+    "    print(\"API key found and looks good so far!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3f0d0137-52b0-47a8-81a8-11a90a010798",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# here is the question\n",
+    "question = \"\"\"\n",
+    "Please explain why do tennis players often use topspin on their forehand shots, and what advantages does it provide?\n",
+    "\"\"\" "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "967aac6b-9f9c-4def-8659-d9382b0c59e4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "system_prompt = \"You are a helpful tennis coach who answers questions about tennis rules, techniques, strategies, training, and equipment.\"\n",
+    "user_prompt = \"Please give a detailed explanation to the following question: \" + question"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7936b5af-e912-4e0e-b43e-87673c4857cf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "messages = [\n",
+    "    {\"role\": \"system\", \"content\": system_prompt},\n",
+    "    {\"role\": \"user\", \"content\": user_prompt}\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "60ce7000-a4a5-4cce-a261-e75ef45063b4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get gpt-4o-mini to answer, with streaming\n",
+    "openai = OpenAI()\n",
+    "stream = openai.chat.completions.create(model=MODEL_GPT, messages=messages, stream=True)\n",
+    "response = \"\"\n",
+    "display_handle = display(Markdown(\"\"), display_id=True)\n",
+    "for chunk in stream:\n",
+    "    response += chunk.choices[0].delta.content or ''\n",
+    "    response = response.replace(\"```\",\"\").replace(\"markdown\", \"\")\n",
+    "    update_display(Markdown(response), display_id=display_handle.display_id)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8f7c8ea8-4082-4ad0-8751-3301adcf6538",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get Llama 3.2 to answer\n",
+    "response = ollama.chat(model=MODEL_LLAMA, messages=messages)\n",
+    "result = response['message']['content']\n",
+    "display(Markdown(result))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "29e9cdd3-5adc-4428-9758-f761dc91783a",
+   "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
+}