From b5efd15cde0381c39b7dccf13d40af25908be2a1 Mon Sep 17 00:00:00 2001
From: sharathir <sharathir@hotmail.com>
Date: Fri, 2 May 2025 23:38:55 +0530
Subject: [PATCH] Added my contributions to community-contributions

---
 .../OllamaDay1_MailSubjectLine.ipynb          | 83 +++++++++++++++++++
 1 file changed, 83 insertions(+)
 create mode 100644 week1/community-contributions/OllamaDay1_MailSubjectLine.ipynb

diff --git a/week1/community-contributions/OllamaDay1_MailSubjectLine.ipynb b/week1/community-contributions/OllamaDay1_MailSubjectLine.ipynb
new file mode 100644
index 0000000..761b1aa
--- /dev/null
+++ b/week1/community-contributions/OllamaDay1_MailSubjectLine.ipynb
@@ -0,0 +1,83 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ce3db287-8661-4649-a599-cba0edd115b1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\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",
+    "openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n",
+    "system_prompt = \"You are an assistant that analyzes the contents of an email\"\n",
+    "user_prompt = \"Provide a short subject line which aligns with the body of the email\"\n",
+    "email_content = \"\"\"\n",
+    "From: TestSender@example.com\n",
+    "To: TestReceiver@example.com\n",
+    "Subject: \n",
+    "\n",
+    "Hi Team,\n",
+    "\n",
+    "This email provides an update on Project Alpha. We've successfully completed Phase 1, which involved, and would like to thank all the \n",
+    "team for the great work, and looking forward to the same energy and rigor for Phase 2 too. \n",
+    "\n",
+    "Keep up the good work!! \n",
+    "\n",
+    "Thanks,\n",
+    "James\n",
+    "\"\"\"\n",
+    "\n",
+    "# Step 2: Make the messages list\n",
+    "\n",
+    "messages = [\n",
+    "    {\"role\": \"system\", \"content\": system_prompt},\n",
+    "    {\"role\": \"user\", \"content\": user_prompt+email_content}\n",
+    "]\n",
+    "\n",
+    "# Step 3: Call OpenAI\n",
+    "\n",
+    "#response =\n",
+    "response = openai.chat.completions.create(model=\"llama3.2\", messages=messages)\n",
+    "\n",
+    "# Step 4: print the result\n",
+    "print(response.choices[0].message.content)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "526b87f1-aa38-44d4-9609-292a4f4d72a9",
+   "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": "3.11.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}