langchain/docs/docs/how_to/multimodal_prompts.ipynb

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    "# How to use multimodal prompts\n",
    "\n",
    "Here we demonstrate how to use prompt templates to format multimodal inputs to models. \n",
    "\n",
    "In this example we will ask a model to describe an image."
   ]
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   "source": [
    "import base64\n",
    "\n",
    "import httpx\n",
    "\n",
    "image_url = \"https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg\"\n",
    "image_data = base64.b64encode(httpx.get(image_url).content).decode(\"utf-8\")"
   ]
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  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2671f995",
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   "source": [
    "from langchain_core.prompts import ChatPromptTemplate\n",
    "from langchain_openai import ChatOpenAI\n",
    "\n",
    "model = ChatOpenAI(model=\"gpt-4o\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4ee35e4f",
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   "source": [
    "prompt = ChatPromptTemplate.from_messages(\n",
    "    [\n",
    "        (\"system\", \"Describe the image provided\"),\n",
    "        (\n",
    "            \"user\",\n",
    "            [\n",
    "                {\n",
    "                    \"type\": \"image_url\",\n",
    "                    \"image_url\": {\"url\": \"data:image/jpeg;base64,{image_data}\"},\n",
    "                }\n",
    "            ],\n",
    "        ),\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "089f75c2",
   "metadata": {},
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   "source": [
    "chain = prompt | model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "02744b06",
   "metadata": {},
   "outputs": [
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     "text": [
      "The image depicts a sunny day with a beautiful blue sky filled with scattered white clouds. The sky has varying shades of blue, ranging from a deeper hue near the horizon to a lighter, almost pale blue higher up. The white clouds are fluffy and scattered across the expanse of the sky, creating a peaceful and serene atmosphere. The lighting and cloud patterns suggest pleasant weather conditions, likely during the daytime hours on a mild, sunny day in an outdoor natural setting.\n"
     ]
    }
   ],
   "source": [
    "response = chain.invoke({\"image_data\": image_data})\n",
    "print(response.content)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9b9ebf6",
   "metadata": {},
   "source": [
    "We can also pass in multiple images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "02190ee3",
   "metadata": {},
   "outputs": [],
   "source": [
    "prompt = ChatPromptTemplate.from_messages(\n",
    "    [\n",
    "        (\"system\", \"compare the two pictures provided\"),\n",
    "        (\n",
    "            \"user\",\n",
    "            [\n",
    "                {\n",
    "                    \"type\": \"image_url\",\n",
    "                    \"image_url\": {\"url\": \"data:image/jpeg;base64,{image_data1}\"},\n",
    "                },\n",
    "                {\n",
    "                    \"type\": \"image_url\",\n",
    "                    \"image_url\": {\"url\": \"data:image/jpeg;base64,{image_data2}\"},\n",
    "                },\n",
    "            ],\n",
    "        ),\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "42af057b",
   "metadata": {},
   "outputs": [],
   "source": [
    "chain = prompt | model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "513abe00",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The two images provided are identical. Both images feature a wooden boardwalk path extending through a lush green field under a bright blue sky with some clouds. The perspective, colors, and elements in both images are exactly the same.\n"
     ]
    }
   ],
   "source": [
    "response = chain.invoke({\"image_data1\": image_data, \"image_data2\": image_data})\n",
    "print(response.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ea8152c3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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