Start cookbook and move stuff from use cases (#11636)

cookbook/multi_modal_output_agent.ipynb

@@ -0,0 +1,188 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "cd835d40",
+   "metadata": {},
+   "source": [
+    "# Multi-modal outputs: Image & Text"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fa88e03a",
+   "metadata": {},
+   "source": [
+    "This notebook shows how non-text producing tools can be used to create multi-modal agents.\n",
+    "\n",
+    "This example is limited to text and image outputs and uses UUIDs to transfer content across tools and agents. \n",
+    "\n",
+    "This example uses Steamship to generate and store generated images. Generated are auth protected by default. \n",
+    "\n",
+    "You can get your Steamship api key here: https://steamship.com/account/api"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0653da01",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from steamship import Block, Steamship\n",
+    "import re\n",
+    "from IPython.display import Image"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f6933033",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.llms import OpenAI\n",
+    "from langchain.agents import initialize_agent\n",
+    "from langchain.agents import AgentType\n",
+    "from langchain.tools import SteamshipImageGenerationTool"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "71e51e53",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "llm = OpenAI(temperature=0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a9fc769d",
+   "metadata": {},
+   "source": [
+    "## Dall-E "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cd177dfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tools = [SteamshipImageGenerationTool(model_name=\"dall-e\")]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c71b1e46",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mrkl = initialize_agent(\n",
+    "    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "603aeb9a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "output = mrkl.run(\"How would you visualize a parot playing soccer?\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "25eb4efe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def show_output(output):\n",
+    "    \"\"\"Display the multi-modal output from the agent.\"\"\"\n",
+    "    UUID_PATTERN = re.compile(\n",
+    "        r\"([0-9A-Za-z]{8}-[0-9A-Za-z]{4}-[0-9A-Za-z]{4}-[0-9A-Za-z]{4}-[0-9A-Za-z]{12})\"\n",
+    "    )\n",
+    "\n",
+    "    outputs = UUID_PATTERN.split(output)\n",
+    "    outputs = [\n",
+    "        re.sub(r\"^\\W+\", \"\", el) for el in outputs\n",
+    "    ]  # Clean trailing and leading non-word characters\n",
+    "\n",
+    "    for output in outputs:\n",
+    "        maybe_block_id = UUID_PATTERN.search(output)\n",
+    "        if maybe_block_id:\n",
+    "            display(Image(Block.get(Steamship(), _id=maybe_block_id.group()).raw()))\n",
+    "        else:\n",
+    "            print(output, end=\"\\n\\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e247b2c4",
+   "metadata": {},
+   "source": [
+    "## StableDiffusion "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "315025e7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tools = [SteamshipImageGenerationTool(model_name=\"stable-diffusion\")]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7930064a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mrkl = initialize_agent(\n",
+    "    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "611a833d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "output = mrkl.run(\"How would you visualize a parot playing soccer?\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}