Added my contributions to community-contributions two llm conversations using ollama

week2/community-contributions/wk2_day1_ollama_conversation_between_two_models.ipynb

@@ -0,0 +1,170 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eff19e8b-000a-4327-b8fb-8fd8a3caaef5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from dotenv import load_dotenv\n",
+    "from openai import OpenAI\n",
+    "import anthropic\n",
+    "from IPython.display import Markdown, display, update_display\n",
+    "import ollama"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8278c99b-d748-42e5-a991-690a791ed081",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Let's make a conversation between GPT-4o-mini and Claude-3-haiku\n",
+    "# We're using cheap versions of models so the costs will be minimal\n",
+    "\n",
+    "llama_model = \"llama3.2\"\n",
+    "deepseek_model = \"deepseek-r1\"\n",
+    "\n",
+    "llama_system = \"You are a chatbot who is very argumentative; \\\n",
+    "you disagree with anything in the conversation and you challenge everything, in a snarky way.\"\n",
+    "\n",
+    "deepseek_system = \"You are a very polite, courteous chatbot. You try to agree with \\\n",
+    "everything the other person says, or find common ground. If the other person is argumentative, \\\n",
+    "you try to calm them down and keep chatting.\"\n",
+    "\n",
+    "llama_messages = [\"Hi there\"]\n",
+    "deepseek_messages = [\"Hi\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "49523e56-0de8-4014-85d5-8aab438d2075",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def call_llama():\n",
+    "    messages = [{\"role\": \"system\", \"content\": llama_system}]\n",
+    "    for llama, deepseek in zip(llama_messages, deepseek_messages):\n",
+    "        messages.append({\"role\": \"assistant\", \"content\": llama})\n",
+    "        messages.append({\"role\": \"user\", \"content\": deepseek})\n",
+    "    completion = ollama.chat(\n",
+    "        model=llama_model,\n",
+    "        messages=messages\n",
+    "    )\n",
+    "    return completion['message']['content']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "785240ce-e704-44ff-90cb-e5c0476454a4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "call_llama()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cdba39e3-5543-4657-bc3a-259f586ba392",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def call_deepseek():\n",
+    "    messages = []\n",
+    "    for llama, deepseek in zip(llama_messages, deepseek_messages):\n",
+    "        messages.append({\"role\": \"user\", \"content\": llama})\n",
+    "        messages.append({\"role\": \"assistant\", \"content\": deepseek})\n",
+    "    messages.append({\"role\": \"user\", \"content\": llama_messages[-1]})\n",
+    "    message = ollama.chat(\n",
+    "        model=deepseek_model,\n",
+    "        options={\n",
+    "            \"system\":deepseek_system,\n",
+    "            \"max_tokens\":500\n",
+    "        },\n",
+    "        messages=messages\n",
+    "        \n",
+    "    )\n",
+    "    \n",
+    "    return message['message']['content']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "641df7ac-625c-41fa-b780-3130eef93a85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "call_deepseek()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4b33b98e-8d17-45e8-b2a9-a070dc0a6780",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "call_llama()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "47912582-51fe-401c-b4ad-12483068adea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "llama_messages = [\"Hi there\"]\n",
+    "deepseek_messages = [\"Hi\"]\n",
+    "\n",
+    "print(f\"Llama:\\n{llama_messages[0]}\\n\")\n",
+    "print(f\"Deepseek:\\n{deepseek_messages[0]}\\n\")\n",
+    "\n",
+    "for i in range(5):\n",
+    "    llama_next = call_llama()\n",
+    "    print(f\"Llama:\\n{llama_next}\\n\")\n",
+    "    llama_messages.append(llama_next)\n",
+    "    \n",
+    "    deepseek_next = call_deepseek()\n",
+    "    print(f\"Deepseek:\\n{deepseek_next}\\n\")\n",
+    "    deepseek_messages.append(deepseek_next)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f3c41b0c-4358-4d84-a479-6409fa331119",
+   "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
+}