Added my OLLAMA contributions to community-contributions for Week 1 Day 1

week1/community-contributions/Week1-Day1-Exercise.ipynb

@@ -0,0 +1,85 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "88cfea73-04f1-41ca-b2e3-46e0bf4588ce",
+   "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"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "830fdf5c-0f18-49a7-b1ce-94b57187b8fc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e2e20a5e-0809-409e-bc31-c939172167e4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 1: Create your prompts\n",
+    "\n",
+    "system_prompt = \"You are a Software Developer Assistant\"\n",
+    "user_prompt = \"\"\"\n",
+    "    You are a Software Engineer assistant. \\\n",
+    "    When a user asks a technical question about any concept, explain the answer to the question \\\n",
+    "    along with code examples or usage in a simple way \\\n",
+    "    Always format the answer in markdown\n",
+    "\"\"\"\n",
+    "\n",
+    "# Step 2: Make the messages list\n",
+    "\n",
+    "messages = [\n",
+    "    {\"role\": \"system\", \"content\": \"You are a Software Developer Assistant\"},\n",
+    "    {\"role\": \"user\", \"content\": \"What is LLM?\"}\n",
+    "]\n",
+    "\n",
+    "# Step 3: Call OpenAI\n",
+    "\n",
+    "response = openai.chat.completions.create(model=\"llama3.2\", messages=messages)\n",
+    "\n",
+    "\n",
+    "# Step 4: print the result\n",
+    "print(response.choices[0].message.content)\n"
+   ]
+  }
+ ],
+ "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
+}