langchain/docs/modules/models/chat/examples/streaming.ipynb

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  {
   "cell_type": "markdown",
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   "source": [
    "# How to stream responses\n",
    "\n",
    "This notebook goes over how to use streaming with a chat model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e0244f2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.chat_models import ChatOpenAI\n",
    "from langchain.schema import (\n",
    "    HumanMessage,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ad342bfa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Verse 1:\n",
      "Bubbles rising to the top\n",
      "A refreshing drink that never stops\n",
      "Clear and crisp, it's pure delight\n",
      "A taste that's sure to excite\n",
      "\n",
      "Chorus:\n",
      "Sparkling water, oh so fine\n",
      "A drink that's always on my mind\n",
      "With every sip, I feel alive\n",
      "Sparkling water, you're my vibe\n",
      "\n",
      "Verse 2:\n",
      "No sugar, no calories, just pure bliss\n",
      "A drink that's hard to resist\n",
      "It's the perfect way to quench my thirst\n",
      "A drink that always comes first\n",
      "\n",
      "Chorus:\n",
      "Sparkling water, oh so fine\n",
      "A drink that's always on my mind\n",
      "With every sip, I feel alive\n",
      "Sparkling water, you're my vibe\n",
      "\n",
      "Bridge:\n",
      "From the mountains to the sea\n",
      "Sparkling water, you're the key\n",
      "To a healthy life, a happy soul\n",
      "A drink that makes me feel whole\n",
      "\n",
      "Chorus:\n",
      "Sparkling water, oh so fine\n",
      "A drink that's always on my mind\n",
      "With every sip, I feel alive\n",
      "Sparkling water, you're my vibe\n",
      "\n",
      "Outro:\n",
      "Sparkling water, you're the one\n",
      "A drink that's always so much fun\n",
      "I'll never let you go, my friend\n",
      "Sparkling"
     ]
    }
   ],
   "source": [
    "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n",
    "chat = ChatOpenAI(streaming=True, callbacks=[StreamingStdOutCallbackHandler()], temperature=0)\n",
    "resp = chat([HumanMessage(content=\"Write me a song about sparkling water.\")])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67c44deb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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