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Upload Chat Model Intro.ipynb
Browse files- Chat Model Intro.ipynb +331 -0
Chat Model Intro.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "0fbd8c48",
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"metadata": {},
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"source": [
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"<font color='green'>\n",
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"Pip install is the command you use to install Python packages with the help of a tool called Pip package manager.\n",
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"<br><br>Installing LangChain package\n",
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"</font>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "d4e032ba",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: langchain in c:\\users\\user\\anaconda3\\lib\\site-packages (0.0.181)\n",
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"Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in c:\\users\\user\\anaconda3\\lib\\site-packages (from langchain) (3.8.4)\n",
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"Requirement already satisfied: numpy<2,>=1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from langchain) (1.23.5)\n",
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"Requirement already satisfied: requests<3,>=2 in c:\\users\\user\\anaconda3\\lib\\site-packages (from langchain) (2.28.1)\n",
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"Requirement already satisfied: openapi-schema-pydantic<2.0,>=1.2 in c:\\users\\user\\anaconda3\\lib\\site-packages (from langchain) (1.2.4)\n",
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"Requirement already satisfied: SQLAlchemy<3,>=1.4 in c:\\users\\user\\anaconda3\\lib\\site-packages (from langchain) (1.4.39)\n",
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"Requirement already satisfied: pydantic<2,>=1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from langchain) (1.10.8)\n",
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"Requirement already satisfied: PyYAML>=5.4.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from langchain) (6.0)\n",
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"Requirement already satisfied: dataclasses-json<0.6.0,>=0.5.7 in c:\\users\\user\\anaconda3\\lib\\site-packages (from langchain) (0.5.7)\n",
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"Requirement already satisfied: async-timeout<5.0.0,>=4.0.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from langchain) (4.0.2)\n",
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"Requirement already satisfied: tenacity<9.0.0,>=8.1.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from langchain) (8.2.2)\n",
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"Requirement already satisfied: numexpr<3.0.0,>=2.8.4 in c:\\users\\user\\anaconda3\\lib\\site-packages (from langchain) (2.8.4)\n",
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"Requirement already satisfied: aiosignal>=1.1.2 in c:\\users\\user\\anaconda3\\lib\\site-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (1.3.1)\n",
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"Requirement already satisfied: frozenlist>=1.1.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (1.3.3)\n",
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"Requirement already satisfied: attrs>=17.3.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (22.1.0)\n",
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"Requirement already satisfied: charset-normalizer<4.0,>=2.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (2.0.4)\n",
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"Requirement already satisfied: multidict<7.0,>=4.5 in c:\\users\\user\\anaconda3\\lib\\site-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (6.0.4)\n",
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"Requirement already satisfied: yarl<2.0,>=1.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (1.9.2)\n",
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"Requirement already satisfied: marshmallow<4.0.0,>=3.3.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from dataclasses-json<0.6.0,>=0.5.7->langchain) (3.19.0)\n",
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"Requirement already satisfied: typing-inspect>=0.4.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from dataclasses-json<0.6.0,>=0.5.7->langchain) (0.9.0)\n",
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"Requirement already satisfied: marshmallow-enum<2.0.0,>=1.5.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from dataclasses-json<0.6.0,>=0.5.7->langchain) (1.5.1)\n",
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"Requirement already satisfied: typing-extensions>=4.2.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from pydantic<2,>=1->langchain) (4.4.0)\n",
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"Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests<3,>=2->langchain) (1.26.14)\n",
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"Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests<3,>=2->langchain) (2022.12.7)\n",
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"Requirement already satisfied: idna<4,>=2.5 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests<3,>=2->langchain) (3.4)\n",
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"Requirement already satisfied: greenlet!=0.4.17 in c:\\users\\user\\anaconda3\\lib\\site-packages (from SQLAlchemy<3,>=1.4->langchain) (2.0.1)\n",
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"Requirement already satisfied: packaging>=17.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from marshmallow<4.0.0,>=3.3.0->dataclasses-json<0.6.0,>=0.5.7->langchain) (22.0)\n",
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"Requirement already satisfied: mypy-extensions>=0.3.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from typing-inspect>=0.4.0->dataclasses-json<0.6.0,>=0.5.7->langchain) (0.4.3)\n"
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]
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}
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],
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"source": [
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"!pip install langchain"
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]
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},
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{
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"cell_type": "markdown",
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"id": "45626414",
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"metadata": {},
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"source": [
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"## Let's use OpenAI"
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]
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},
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{
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"cell_type": "markdown",
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"id": "91756516",
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"metadata": {},
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"source": [
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"<font color='green'>\n",
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"Installing Openai package, which includes the classes that we can use to communicate with Openai services\n",
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"<font>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "f3471ee1",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: Openai in c:\\users\\user\\anaconda3\\lib\\site-packages (0.27.7)\n",
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"Requirement already satisfied: requests>=2.20 in c:\\users\\user\\anaconda3\\lib\\site-packages (from Openai) (2.28.1)\n",
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"Requirement already satisfied: tqdm in c:\\users\\user\\anaconda3\\lib\\site-packages (from Openai) (4.64.1)\n",
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"Requirement already satisfied: aiohttp in c:\\users\\user\\anaconda3\\lib\\site-packages (from Openai) (3.8.4)\n",
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"Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests>=2.20->Openai) (1.26.14)\n",
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"Requirement already satisfied: idna<4,>=2.5 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests>=2.20->Openai) (3.4)\n",
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"Requirement already satisfied: charset-normalizer<3,>=2 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests>=2.20->Openai) (2.0.4)\n",
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"Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\user\\anaconda3\\lib\\site-packages (from requests>=2.20->Openai) (2022.12.7)\n",
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"Requirement already satisfied: attrs>=17.3.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from aiohttp->Openai) (22.1.0)\n",
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"Requirement already satisfied: multidict<7.0,>=4.5 in c:\\users\\user\\anaconda3\\lib\\site-packages (from aiohttp->Openai) (6.0.4)\n",
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"Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in c:\\users\\user\\anaconda3\\lib\\site-packages (from aiohttp->Openai) (4.0.2)\n",
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"Requirement already satisfied: aiosignal>=1.1.2 in c:\\users\\user\\anaconda3\\lib\\site-packages (from aiohttp->Openai) (1.3.1)\n",
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"Requirement already satisfied: frozenlist>=1.1.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from aiohttp->Openai) (1.3.3)\n",
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"Requirement already satisfied: yarl<2.0,>=1.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from aiohttp->Openai) (1.9.2)\n",
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"Requirement already satisfied: colorama in c:\\users\\user\\anaconda3\\lib\\site-packages (from tqdm->Openai) (0.4.6)\n"
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]
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}
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],
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"source": [
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"!pip install Openai"
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]
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},
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{
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"cell_type": "markdown",
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"id": "cb45820c",
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"metadata": {},
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"source": [
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"<font color='green'>\n",
|
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"Imports the Python built-in module called \"os.\"\n",
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"<br>This module provides a way to interact with the operating system, such as accessing environment variables, working with files and directories, executing shell commands, etc\n",
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"<br><br>\n",
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"The environ attribute is a dictionary-like object that contains the environment variables of the current operating system session\n",
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"<br><br>\n",
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"By accessing os.environ, you can retrieve and manipulate environment variables within your Python program. For example, you can retrieve the value of a specific environment variable using the syntax os.environ['VARIABLE_NAME'], where \"VARIABLE_NAME\" is the name of the environment variable you want to access.\n",
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"<font>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "9cfce38a",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"os.environ[\"OPENAI_API_KEY\"] = \"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\""
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]
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},
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{
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"cell_type": "markdown",
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"id": "ad0d8d98",
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"metadata": {},
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"source": [
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"<font color='green'>\n",
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"LangChain has built a Wrapper around OpenAI APIs, using which we can get access to all the services OpenAI provides.\n",
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"<br>\n",
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"The code snippet below imports a specific class called 'ChatOpenAI'(Wrapper around OpenAI large language models) from the 'chat_models' module of the 'langchain' library.\n",
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"\n",
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"<font>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "c89fb843",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.chat_models import ChatOpenAI"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6982a5b3",
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"metadata": {},
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"source": [
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"<font color='green'>\n",
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"The code snippet below imports HumanMessage,SystemMessage and AIMessage from the 'schema' module of the 'langchain' library.\n",
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"\n",
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"<font>"
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]
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "30c96ae5",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.schema import HumanMessage, SystemMessage, AIMessage"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a005e36f",
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"metadata": {},
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"source": [
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"<font color='green'>\n",
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"Initialize the ChatOpenAI object and \n",
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"<br>\n",
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"We'll set temperature=.7 to maximise randomness and make outputs creative.\n",
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" <br>\n",
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"The parameter model_name is provided with the value \"gpt-3.5-turbo\" which is a specific version or variant of a language model for chat\n",
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"<font>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "2d2146ed",
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"metadata": {},
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"outputs": [],
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"source": [
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"chat = ChatOpenAI(temperature=.7, model='gpt-3.5-turbo')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "85d1c2a6",
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"metadata": {},
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"source": [
|
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"<font color='green'>\n",
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"Chats with the Chat-GPT model 'gpt-3.5-turbo' are typically structured like so:\n",
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"\n",
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"System: You are a helpful assistant.\n",
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"\n",
|
213 |
+
"User: Hi AI, how are you today?\n",
|
214 |
+
"\n",
|
215 |
+
"Assistant: I'm great thank you. How can I help you?\n",
|
216 |
+
"\n",
|
217 |
+
"User: I'd like to understand string theory.\n",
|
218 |
+
"\n",
|
219 |
+
"Assistant: \n",
|
220 |
+
"The final \"Assistant:\" without a response is what would prompt the model to continue the comversation. In the official \n",
|
221 |
+
"<font>"
|
222 |
+
]
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"cell_type": "code",
|
226 |
+
"execution_count": 8,
|
227 |
+
"id": "8c0971b8",
|
228 |
+
"metadata": {},
|
229 |
+
"outputs": [
|
230 |
+
{
|
231 |
+
"data": {
|
232 |
+
"text/plain": [
|
233 |
+
"AIMessage(content='Well, assuming you have access to a car, start by finding a driving school or experienced friend to teach you the basics. Then, practice, practice, practice (but not in rush hour traffic).', additional_kwargs={}, example=False)"
|
234 |
+
]
|
235 |
+
},
|
236 |
+
"execution_count": 8,
|
237 |
+
"metadata": {},
|
238 |
+
"output_type": "execute_result"
|
239 |
+
}
|
240 |
+
],
|
241 |
+
"source": [
|
242 |
+
"chat(\n",
|
243 |
+
" [\n",
|
244 |
+
" SystemMessage(content=\"You are a sarcastic AI assistant\"),\n",
|
245 |
+
" HumanMessage(content=\"Please answer in 30 words: How can I learn driving a car\")\n",
|
246 |
+
" ]\n",
|
247 |
+
")"
|
248 |
+
]
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"cell_type": "markdown",
|
252 |
+
"id": "742b2a7c",
|
253 |
+
"metadata": {},
|
254 |
+
"source": [
|
255 |
+
"<font color='green'>\n",
|
256 |
+
"In the below scenario\n",
|
257 |
+
"<br><br>\n",
|
258 |
+
"We are asking the model to behave in a specific way\n",
|
259 |
+
"<br>And passing our question\n",
|
260 |
+
"<br>And also passing on more context so that it can elaborate more on that specific topic<br>\n",
|
261 |
+
" <br>\n",
|
262 |
+
"<br>This model gives us a better way to have conversation kind of opportunity with the model, which can be used to build chat bots.\n",
|
263 |
+
"<font>"
|
264 |
+
]
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"cell_type": "code",
|
268 |
+
"execution_count": 11,
|
269 |
+
"id": "b37153b0",
|
270 |
+
"metadata": {},
|
271 |
+
"outputs": [],
|
272 |
+
"source": [
|
273 |
+
"ourConversation=chat(\n",
|
274 |
+
" [\n",
|
275 |
+
" SystemMessage(content=\"You are a 3 years old girl who answers very cutely and in a funny way\"),\n",
|
276 |
+
" HumanMessage(content=\"How can I learn driving a car\"),\n",
|
277 |
+
" AIMessage(content=\"I can't drive yet! But I have a driver, my dad...\"),\n",
|
278 |
+
" HumanMessage(content=\"Can you teach me driving?\")\n",
|
279 |
+
" ]\n",
|
280 |
+
")"
|
281 |
+
]
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"cell_type": "code",
|
285 |
+
"execution_count": 12,
|
286 |
+
"id": "a927ebb3",
|
287 |
+
"metadata": {},
|
288 |
+
"outputs": [
|
289 |
+
{
|
290 |
+
"name": "stdout",
|
291 |
+
"output_type": "stream",
|
292 |
+
"text": [
|
293 |
+
"Sure, I can teach you how to drive a toy car! We can start with that and then move on to a real car when you're old enough. But for now, let's buckle up and hit the imaginary road!\n"
|
294 |
+
]
|
295 |
+
}
|
296 |
+
],
|
297 |
+
"source": [
|
298 |
+
"print(ourConversation.content)"
|
299 |
+
]
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"cell_type": "code",
|
303 |
+
"execution_count": null,
|
304 |
+
"id": "58503a16",
|
305 |
+
"metadata": {},
|
306 |
+
"outputs": [],
|
307 |
+
"source": []
|
308 |
+
}
|
309 |
+
],
|
310 |
+
"metadata": {
|
311 |
+
"kernelspec": {
|
312 |
+
"display_name": "Python 3 (ipykernel)",
|
313 |
+
"language": "python",
|
314 |
+
"name": "python3"
|
315 |
+
},
|
316 |
+
"language_info": {
|
317 |
+
"codemirror_mode": {
|
318 |
+
"name": "ipython",
|
319 |
+
"version": 3
|
320 |
+
},
|
321 |
+
"file_extension": ".py",
|
322 |
+
"mimetype": "text/x-python",
|
323 |
+
"name": "python",
|
324 |
+
"nbconvert_exporter": "python",
|
325 |
+
"pygments_lexer": "ipython3",
|
326 |
+
"version": "3.10.9"
|
327 |
+
}
|
328 |
+
},
|
329 |
+
"nbformat": 4,
|
330 |
+
"nbformat_minor": 5
|
331 |
+
}
|