Solar-Fullstack-LLM-101/01_hello_solar.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a target=\"_blank\" href=\"https://colab.research.google.com/github/UpstageAI/cookbook/blob/main/Solar-Fullstack-LLM-101/01_hello_solar.ipynb\">\n",
    "<img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
    "</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 01. Hello_Solar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview  \n",
    "In this exercise, we will introduce Solar, a large language model (LLM) framework by Upstage. This initial notebook will cover the basics of setting up Solar, understanding its core components, and running a simple \"Hello, World!\" example to demonstrate its basic functionality.\n",
    " \n",
    "## Purpose of the Exercise\n",
    "The purpose of this exercise is to familiarize users with the Solar LLM framework. By the end of this tutorial, users will have a fundamental understanding of how to initialize and run Solar, preparing them for more advanced tasks and applications in subsequent exercises. This introductory example serves as a foundation for leveraging Solar's capabilities in various NLP tasks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "! pip3 install -qU langchain-upstage requests python-dotenv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## UPSTAGE_API_KEY\n",
    "To obtain your Upstage API key, follow these steps:\n",
    "\n",
    "1. Visit the Upstage AI console at <https://console.upstage.ai>.\n",
    "2. Sign up for an account if you don't already have one.\n",
    "3. Log in to your account.\n",
    "4. Navigate to the API key section.\n",
    "5. Generate your API key.\n",
    "6. Copy the key and save it securely.\n",
    "\n",
    "![Console](./figures/console.upstage.ai.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# @title set API key\n",
    "from pprint import pprint\n",
    "import os\n",
    "\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "if \"google.colab\" in str(get_ipython()):\n",
    "    # Running in Google Colab. Please set the UPSTAGE_API_KEY in the Colab Secrets\n",
    "    from google.colab import userdata\n",
    "\n",
    "    os.environ[\"UPSTAGE_API_KEY\"] = userdata.get(\"UPSTAGE_API_KEY\")\n",
    "else:\n",
    "    # Running locally. Please set the UPSTAGE_API_KEY in the .env file\n",
    "    from dotenv import load_dotenv\n",
    "\n",
    "    load_dotenv()\n",
    "\n",
    "assert (\n",
    "    \"UPSTAGE_API_KEY\" in os.environ\n",
    "), \"Please set the UPSTAGE_API_KEY environment variable\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Greetings, travelers! Welcome to the Starship Galaxy, where adventure awaits '\n",
      " 'at every corner. How may I assist you on your journey today?')\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from openai import OpenAI\n",
    "from pprint import pprint\n",
    "\n",
    "client = OpenAI(\n",
    "    api_key=os.environ[\"UPSTAGE_API_KEY\"], base_url=\"https://api.upstage.ai/v1/solar\"\n",
    ")\n",
    "chat_result = client.chat.completions.create(\n",
    "    model=\"solar-pro\",\n",
    "    messages=[\n",
    "        {\n",
    "            \"role\": \"system\",\n",
    "            \"content\": \"Once Upon a Time in A Galaxy Far, Far, Away ...\",\n",
    "        },\n",
    "    ],\n",
    ")\n",
    "\n",
    "pprint(chat_result.choices[0].message.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Absolutely! One of the best places to visit in Seoul for a breathtaking view '\n",
      " \"is Namsan Tower, also known as Seoul Tower. It's located on Namsan Mountain \"\n",
      " 'and offers amazing cityscape views.')\n"
     ]
    }
   ],
   "source": [
    "chat_result = client.chat.completions.create(\n",
    "    model=\"solar-pro\",\n",
    "    messages=[\n",
    "        {\"role\": \"system\", \"content\": \"Can you tell me good place to vision in Seoul?\"},\n",
    "    ],\n",
    ")\n",
    "\n",
    "pprint(chat_result.choices[0].message.content)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Langchain](figures/langchain.jpg)\n",
    "\n",
    "https://python.langchain.com/v0.2/docs/integrations/providers/upstage/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AIMessage(content=\"Hello! I'm Solar, an AI chatbot developed by the brilliant team at Upstage. I'm here to help answer your questions and keep you company!\", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 37, 'prompt_tokens': 18, 'total_tokens': 55}, 'model_name': 'solar-pro-preview-240910', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-5be1c9e5-3040-434c-9954-be993394f574-0', usage_metadata={'input_tokens': 18, 'output_tokens': 37, 'total_tokens': 55})"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Quick hello Langchain Upstage\n",
    "# Make sure you have the langchain-upstage package installed\n",
    "# Make sure UPSTAGE_API_KEY is set in the environment variables\n",
    "from langchain_upstage import ChatUpstage\n",
    "\n",
    "llm = ChatUpstage(model=\"solar-pro\")\n",
    "llm.invoke(\"Who are you? Who created you?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AIMessage(content='Hello! How can I assist you today?', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 13, 'total_tokens': 23}, 'model_name': 'solar-1-mini-chat-240612', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-33286aa6-cef6-4b89-b396-383c338ce7b5-0', usage_metadata={'input_tokens': 13, 'output_tokens': 10, 'total_tokens': 23})"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from langchain_upstage import ChatUpstage\n",
    "\n",
    "llm = ChatUpstage(model=\"solar-1-mini-chat\")\n",
    "llm.invoke(\"Hello Mini!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AIMessage(content='こんにちは！今日はどのようなご用件でしょうか？', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 24, 'total_tokens': 34}, 'model_name': 'solar-1-mini-chat-ja-240612', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-65aeac19-b3cd-4499-828a-fe0f6f795ff8-0', usage_metadata={'input_tokens': 24, 'output_tokens': 10, 'total_tokens': 34})"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Quick hello world\n",
    "from langchain_upstage import ChatUpstage\n",
    "\n",
    "llm = ChatUpstage(model=\"solar-1-mini-chat-ja\")\n",
    "llm.invoke(\"ソーラーLLM、こんにちは。ソーラーLLM、こんにちは。\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'grounded'"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Solar Groundedness Check\n",
    "from langchain_upstage import UpstageGroundednessCheck\n",
    "\n",
    "groundedness_check = UpstageGroundednessCheck()\n",
    "\n",
    "context = \"Solar is a language model that can generate human-like text. It is developed by Upstage.\"\n",
    "groundedness_check.invoke(\n",
    "    {\"context\": context, \"answer\": \"Solar is created by Upstage.\"}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'notGrounded'"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "groundedness_check.invoke({\"context\": context, \"answer\": \"Solar is created by OpenAI.\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
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       "  ...]]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from langchain_upstage import UpstageEmbeddings\n",
    "\n",
    "embeddings_model = UpstageEmbeddings(model=\"solar-embedding-1-large\")\n",
    "embeddings_model.embed_documents(\n",
    "    [\n",
    "        \"Whay is the best season to visit Korea?\",\n",
    "    ]\n",
    ")"
   ]
  }
 ],
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