langchain_interactive_conv.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Experiment with langchain to create interactive conversation with openai api"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get OPENAI_API_KEY from user input\n",
    "from getpass import getpass\n",
    "OPENAI_API_KEY = getpass(\"Enter your API key: \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ[\"OPENAI_API_KEY\"] = OPENAI_API_KEY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7 + 7 = 14. For example, if you have 7 books and you add 7 more books, you would have a total of 14 books.\n"
     ]
    }
   ],
   "source": [
    "from langchain.chains.conversation.memory import ConversationBufferMemory\n",
    "from langchain import OpenAI, LLMChain, PromptTemplate\n",
    "\n",
    "template = \"\"\"You are a mathematician. Given the text of question, it is your job to write an answer to the question with example.\n",
    "{chat_history}\n",
    "Human: {question}\n",
    "AI:\n",
    "\"\"\"\n",
    "prompt_template = PromptTemplate(input_variables=[\"chat_history\",\"question\"], template=template)\n",
    "memory = ConversationBufferMemory(memory_key=\"chat_history\")\n",
    "\n",
    "llm_chain = LLMChain(\n",
    "    llm=OpenAI(),\n",
    "    prompt=prompt_template,\n",
    "    verbose=False,\n",
    "    memory=memory,\n",
    ")\n",
    "\n",
    "llm_chain.run(\"What is 4 + 3?\")\n",
    "\n",
    "result = llm_chain.run(\"add 7 to it\")\n",
    "print(result)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14 + 7 = 21. For example, if you have 14 pieces of candy and you add 7 more pieces of candy, you would have a total of 21 pieces of candy.\n"
     ]
    }
   ],
   "source": [
    "result = llm_chain.run(\"add another 7 to it\")\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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