81_gradio_stream.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -qU gradio python-dotenv langchain-upstage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext dotenv\n",
    "%dotenv\n",
    "# set UPSTAGE_API_KEY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gradio as gr\n",
    "\n",
    "from langchain_upstage import ChatUpstage\n",
    "from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
    "from langchain_core.output_parsers import StrOutputParser\n",
    "from langchain.schema import AIMessage, HumanMessage\n",
    "\n",
    "\n",
    "llm = ChatUpstage(streaming=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# More general chat\n",
    "chat_with_history_prompt = ChatPromptTemplate.from_messages(\n",
    "    [\n",
    "        (\"system\", \"You are a helpful assistant.\"),\n",
    "        MessagesPlaceholder(variable_name=\"history\"),\n",
    "        (\"human\", \"{message}\"),\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "chain = chat_with_history_prompt | llm | StrOutputParser()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def chat(message, history):\n",
    "    history_langchain_format = []\n",
    "    for human, ai in history:\n",
    "        history_langchain_format.append(HumanMessage(content=human))\n",
    "        history_langchain_format.append(AIMessage(content=ai))\n",
    "\n",
    "    generator = chain.stream({\"message\": message, \"history\": history_langchain_format})\n",
    "\n",
    "    assistant = \"\"\n",
    "    for gen in generator:\n",
    "        assistant += gen\n",
    "        yield assistant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "with gr.Blocks() as demo:\n",
    "    chatbot = gr.ChatInterface(\n",
    "        chat,\n",
    "        examples=[\n",
    "            \"How to eat healthy?\",\n",
    "            \"Best Places in Korea\",\n",
    "            \"How to make a chatbot?\",\n",
    "        ],\n",
    "        title=\"Solar Chatbot\",\n",
    "        description=\"Upstage Solar Chatbot\",\n",
    "    )\n",
    "    chatbot.chatbot.height = 300"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7863\n",
      "Running on public URL: https://4c615fc1432e03ed22.gradio.live\n",
      "\n",
      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><iframe src=\"https://4c615fc1432e03ed22.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if __name__ == \"__main__\":\n",
    "    demo.launch()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "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": "3.9.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}