From f14ab7d37bd541eb99ab4bdbf436956fc73ec0cf Mon Sep 17 00:00:00 2001
From: Chimwemwe Kachaje <chimwemwe.kachaje@gmail.com>
Date: Thu, 16 Oct 2025 11:41:05 +0200
Subject: [PATCH] Added solution for week1 exercise

---
 .gitignore                                    |   3 +
 .../kachaje/week1-exercise.ipynb              | 119 ++++++++++++++++++
 2 files changed, 122 insertions(+)
 create mode 100644 week1/community-contributions/kachaje/week1-exercise.ipynb

diff --git a/.gitignore b/.gitignore
index 334a768..6f98227 100644
--- a/.gitignore
+++ b/.gitignore
@@ -199,3 +199,6 @@ week4/main.cpp
 week4/main
 week4/main.exe
 week4/main.rs
+
+local/
+
diff --git a/week1/community-contributions/kachaje/week1-exercise.ipynb b/week1/community-contributions/kachaje/week1-exercise.ipynb
new file mode 100644
index 0000000..f215868
--- /dev/null
+++ b/week1/community-contributions/kachaje/week1-exercise.ipynb
@@ -0,0 +1,119 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "834bf7f1",
+   "metadata": {},
+   "source": [
+    "Task: build a tool that takes a technical question and responds with an explanation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ac41ae00",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# imports \n",
+    "\n",
+    "from openai import OpenAI"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c9727896",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8e2ed70e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "MODEL_LLAMA = 'llama3.2'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ae31ec03",
+   "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": "918bc133",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "system_prompt = \"\"\"\n",
+    "You are an expert software engineer.\n",
+    "You are given a technical question and you need to explain what the code does and why.\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c9bbdcb8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get Llama 3.2 to answer\n",
+    "from IPython.display import Markdown, update_display\n",
+    "\n",
+    "\n",
+    "stream = openai.chat.completions.create(\n",
+    "    model=MODEL_LLAMA,\n",
+    "    messages=[\n",
+    "        {\"role\": \"system\", \"content\": system_prompt},\n",
+    "        {\"role\": \"user\", \"content\": question}\n",
+    "      ],\n",
+    "    stream=True\n",
+    ")\n",
+    "response = \"\"\n",
+    "display_handle = display(Markdown(\"\"), display_id=True)\n",
+    "for chunk in stream:\n",
+    "    response += chunk.choices[0].delta.content or ''\n",
+    "    update_display(Markdown(response), display_id=display_handle.display_id)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "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": "3.12.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}