Lecture15_ImageGeneration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ZrhcyPMPlRn0",
   "metadata": {
    "id": "ZrhcyPMPlRn0"
   },
   "source": [
    "# Lecture 15 Image Generation\n",
    "\n",
    "This notebook will let you generate images using the OpenAI images API.\n",
    "\n",
    "Below is the overview of this notebook.\n",
    "\n",
    "<ol type = 1>\n",
    "  <li> Generate Image from Text Prompt</li>\n",
    "  <li> Enhance Prompts</li>\n",
    "  <li> Controlled Image Variations </li>\n",
    "  <li> Images With Sentiment </li>\n",
    "  <li> Create an Instagram Fashion Account and Content </li>\n",
    "  <li> Create an Instagram Crypto Account and Content </li>\n",
    "\n",
    " </ol>\n",
    "\n",
    "This notebook can be opened in Colab\n",
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zlisto/social_media_analytics/blob/main/Lecture15_ImageGeneration.ipynb)\n",
    "\n",
    "Before starting, select \"Runtime->Factory reset runtime\" to start with your directories and environment in the base state.\n",
    "\n",
    "If you want to save changes to the notebook, select \"File->Save a copy in Drive\" from the top menu in Colab.  This will save the notebook in your Google Drive.\n",
    "\n",
    "\n",
    "All OpenAI API calls in this notebook will cost about $0.58."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "utVwd-MCuE_d",
   "metadata": {
    "id": "utVwd-MCuE_d"
   },
   "source": [
    "# Clones, Installs, and Imports"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "QkIYnQ_48TCh",
   "metadata": {
    "id": "QkIYnQ_48TCh"
   },
   "source": [
    "## Clone Repo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cb0288fd",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "cb0288fd",
    "outputId": "a27f23e9-fb12-4f1d-abc4-fe9af53efd91"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cloning into 'social_media_analytics'...\n",
      "remote: Enumerating objects: 2765, done.\u001b[K\n",
      "remote: Counting objects: 100% (176/176), done.\u001b[K\n",
      "remote: Compressing objects: 100% (96/96), done.\u001b[K\n",
      "remote: Total 2765 (delta 101), reused 153 (delta 80), pack-reused 2589\u001b[K\n",
      "Receiving objects: 100% (2765/2765), 205.95 MiB | 17.90 MiB/s, done.\n",
      "Resolving deltas: 100% (490/490), done.\n",
      "Updating files: 100% (1962/1962), done.\n"
     ]
    }
   ],
   "source": [
    "# Clone GitHub repository\n",
    "!git clone https://github.com/zlisto/social_media_analytics\n",
    "\n",
    "import os\n",
    "os.chdir(\"social_media_analytics\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "YBzYZDZ-8U71",
   "metadata": {
    "id": "YBzYZDZ-8U71"
   },
   "source": [
    "## Installs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "94c55003",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "94c55003",
    "outputId": "bd7a1c3f-1a7f-4e22-bd70-925d4db634ca"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m262.9/262.9 kB\u001b[0m \u001b[31m2.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.6/75.6 kB\u001b[0m \u001b[31m7.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m77.8/77.8 kB\u001b[0m \u001b[31m8.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m6.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25h"
     ]
    }
   ],
   "source": [
    "# Install requirements\n",
    "!pip install openai -q\n",
    "!pip install pycoingecko -q\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "JMarvVks8XAa",
   "metadata": {
    "id": "JMarvVks8XAa"
   },
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e81d6de4",
   "metadata": {
    "id": "e81d6de4"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import datetime\n",
    "import textwrap as tr\n",
    "import os\n",
    "import time\n",
    "import openai\n",
    "\n",
    "import ast\n",
    "\n",
    "from IPython.display import display, Image, HTML\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "from pycoingecko import CoinGeckoAPI\n",
    "\n",
    "pd.set_option(\"display.max_colwidth\", None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "_KLwbKu88Yyc",
   "metadata": {
    "id": "_KLwbKu88Yyc"
   },
   "source": [
    "## OpenAI API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "abc0f2c2",
   "metadata": {
    "id": "abc0f2c2"
   },
   "outputs": [],
   "source": [
    "#set your OpenAI API key as a string\n",
    "OPENAI_API_KEY = ''\n",
    "\n",
    "client = openai.Client(api_key=OPENAI_API_KEY)\n",
    "\n",
    "#Pick your text model\n",
    "#MODEL = \"gpt-3.5-turbo-1106\"\n",
    "MODEL = \"gpt-4-1106-preview\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "w74A9ZCO89jn",
   "metadata": {
    "id": "w74A9ZCO89jn"
   },
   "source": [
    "## Helper Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2ZIM_hzy88IO",
   "metadata": {
    "id": "2ZIM_hzy88IO"
   },
   "outputs": [],
   "source": [
    "def get_completion(prompt, instructions, client, model=\"gpt-3.5-turbo\",\n",
    "                   output_type = 'text'):\n",
    "  '''Get a text completion from the OpenAI API'''\n",
    "  completion = client.chat.completions.create(\n",
    "                model=model,\n",
    "                response_format={ \"type\": output_type},\n",
    "                messages=[\n",
    "                  {\"role\": \"system\", \"content\": instructions},\n",
    "                  {\"role\": \"user\", \"content\": prompt}\n",
    "                ]\n",
    "              )\n",
    "  response =completion.choices[0].message.content\n",
    "\n",
    "  return response\n",
    "\n",
    "def generate_image(prompt = \"Draw a cute bunny\", model = \"dall-e-3\"):\n",
    "  '''Generates an image using the OpenAI API'''\n",
    "\n",
    "  response_img = client.images.generate(\n",
    "    model= model,\n",
    "    prompt=prompt,\n",
    "    size=\"1024x1024\",\n",
    "    quality=\"standard\",\n",
    "    n=1,\n",
    "  )\n",
    "  time.sleep(1)\n",
    "  image_url = response_img.data[0].url\n",
    "  revised_prompt = response_img.data[0].revised_prompt\n",
    "\n",
    "  return image_url, revised_prompt\n",
    "\n",
    "def display_IG(caption, image_url, screen_name=None, profile_image_url = None):\n",
    "    ''' HTML template for displaying the image, screen name,\n",
    "    and caption in an Instagram-like format'''\n",
    "    display_html = f\"\"\"\n",
    "    <style>\n",
    "        .instagram-post {{\n",
    "            border: 1px solid #e1e1e1;\n",
    "            border-radius: 3px;\n",
    "            width: 600px;\n",
    "            margin: 20px auto;\n",
    "            background-color: white;\n",
    "            font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;\n",
    "        }}\n",
    "        .instagram-header {{\n",
    "            padding: 14px;\n",
    "            border-bottom: 1px solid #e1e1e1;\n",
    "            display: flex;\n",
    "            align-items: center;\n",
    "        }}\n",
    "        .instagram-profile-pic {{\n",
    "            border-radius: 50%;\n",
    "            width: 32px;\n",
    "            height: 32px;\n",
    "            margin-right: 10px;\n",
    "        }}\n",
    "        .instagram-screen-name {{\n",
    "            font-weight: bold;\n",
    "            color: #262626;\n",
    "            text-decoration: none;\n",
    "            font-size: 14px;\n",
    "        }}\n",
    "        .instagram-image {{\n",
    "            max-width: 600px;\n",
    "            width: auto;\n",
    "            height: auto;\n",
    "            display: block;\n",
    "            margin: auto;\n",
    "        }}\n",
    "        .instagram-caption {{\n",
    "            padding: 10px;\n",
    "            font-size: 14px;\n",
    "            color: #262626;\n",
    "        }}\n",
    "        .instagram-footer {{\n",
    "            padding: 10px;\n",
    "            border-top: 1px solid #e1e1e1;\n",
    "        }}\n",
    "        .instagram-likes {{\n",
    "            font-weight: bold;\n",
    "            margin-bottom: 8px;\n",
    "        }}\n",
    "    </style>\n",
    "    <div class=\"instagram-post\">\n",
    "        <div class=\"instagram-header\">\n",
    "            <img src=\"{profile_image_url}\" alt=\"Profile picture\" class=\"instagram-profile-pic\">\n",
    "            <a href=\"#\" class=\"instagram-screen-name\">{screen_name}</a>\n",
    "        </div>\n",
    "        <img src=\"{image_url}\" alt=\"Instagram image\" class=\"instagram-image\">\n",
    "        <div class=\"instagram-caption\">\n",
    "            <a href=\"#\" class=\"instagram-screen-name\">{screen_name}</a> {caption}\n",
    "        </div>\n",
    "        <div class=\"instagram-footer\">\n",
    "            <div class=\"instagram-likes\">24 likes</div>\n",
    "            <!-- Include other footer content here -->\n",
    "        </div>\n",
    "    </div>\n",
    "    \"\"\"\n",
    "    display(HTML(display_html))\n",
    "    return display_html\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sv6-tXg99Gen",
   "metadata": {
    "id": "sv6-tXg99Gen"
   },
   "source": [
    "# Create Image from Text Prompt\n",
    "\n",
    "We describe an image in a `prompt` and use the `generate_prompt` function to create the image with ChatGPT.  The function returns the image as a url (`image_url`) and the `revised_prompt` that it actually gave to ChatGPT.\n",
    "\n",
    "You can view the image in the notebook with the `display` and `Image` functions.\n",
    "\n",
    "Details on the OpenAI Image API can be found here:\n",
    "https://platform.openai.com/docs/guides/images/usage?context=node\n",
    "\n",
    "Pricing details for the OpenAI API can be found here:\n",
    "https://openai.com/pricing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5XNxcMDtMSrx",
   "metadata": {
    "id": "5XNxcMDtMSrx"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "t0Op5eUT9K97",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 615
    },
    "id": "t0Op5eUT9K97",
    "outputId": "9774d04e-e351-42c3-f29a-4367b291c26c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prompt: Draw a cute bunny\n",
      "Revised prompt: Create a charming image of a small, fluffy bunny. It should have long\n",
      "ears, a round, cuddly body, and a fluffy cotton-ball-like tail. Its\n",
      "color should be a mix of white and light brown. The bunny should be\n",
      "sitting contentedly on lush green grass, nibbling on a bright orange\n",
      "carrot. The background environment should convey the serenity of a\n",
      "sunny afternoon in a quiet, peaceful meadow, adorned with a variety of\n",
      "blooming wildflowers. It should radiate a warmth and peacefulness that\n",
      "elicits feelings of joy and tranquility.\n",
      "https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-juYOn79d34uXpsxW52boIPiy.png?st=2024-03-27T02%3A43%3A11Z&se=2024-03-27T04%3A43%3A11Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A24%3A18Z&ske=2024-03-27T21%3A24%3A18Z&sks=b&skv=2021-08-06&sig=yvn64/FqGa9ddBTepXywdyU1CBEp3mpczdz/ERQk8Bk%3D\n"
     ]
    },
    {
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       "<img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-juYOn79d34uXpsxW52boIPiy.png?st=2024-03-27T02%3A43%3A11Z&se=2024-03-27T04%3A43%3A11Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A24%3A18Z&ske=2024-03-27T21%3A24%3A18Z&sks=b&skv=2021-08-06&sig=yvn64/FqGa9ddBTepXywdyU1CBEp3mpczdz/ERQk8Bk%3D\" width=\"400\" height=\"400\"/>"
      ],
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       "<IPython.core.display.Image object>"
      ]
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   ],
   "source": [
    "prompt = '''Draw a cute bunny'''\n",
    "\n",
    "\n",
    "image_url, revised_prompt = generate_image(prompt)\n",
    "print(f\"Prompt: {tr.fill(prompt)}\")\n",
    "print(f\"Revised prompt: {tr.fill(revised_prompt)}\")\n",
    "print(image_url)\n",
    "display(Image(url=image_url, width=400, height=400))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "NXdxxPMaDDdE",
   "metadata": {
    "id": "NXdxxPMaDDdE"
   },
   "source": [
    "# Prompt Enhancement\n",
    "ChatGPT takes our prompt and enhances it for us to make better images.  We can try to enhance it ourselves, but it usually gives the same image.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "hcH2MIOhULl9",
   "metadata": {
    "id": "hcH2MIOhULl9"
   },
   "source": [
    "## Basic Prompt\n",
    "\n",
    "We will start with a very simple `prompt`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aAi8E4GqMTyY",
   "metadata": {
    "id": "aAi8E4GqMTyY"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "PLq0_fXqDKNP",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 581
    },
    "id": "PLq0_fXqDKNP",
    "outputId": "7c75235c-7dc8-4d91-9642-4002f11ddfe9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prompt: A ferrari\n",
      "Revised prompt: A detailed view of a red sports car with sleek lines, resembling the\n",
      "shape of a Ferrari. The exterior of this luxury vehicle should\n",
      "showcase a glossy red finish, prominent aerodynamic curves, and\n",
      "distinctive features like its low body, pronounced wheel arches and,\n",
      "oval headlights. Smaller details like black alloy wheels, chrome\n",
      "exhausts, and a shiny car badge can also be included.\n",
      "https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-gAbUqQobRsHFb0BQXl0vsxBz.png?st=2024-03-27T02%3A43%3A28Z&se=2024-03-27T04%3A43%3A28Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A12%3A11Z&ske=2024-03-27T21%3A12%3A11Z&sks=b&skv=2021-08-06&sig=gjW4sp41PkmAk8/BG661xpcetwI3kPvTyKYGztTK%2BSY%3D\n"
     ]
    },
    {
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       "<img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-gAbUqQobRsHFb0BQXl0vsxBz.png?st=2024-03-27T02%3A43%3A28Z&se=2024-03-27T04%3A43%3A28Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A12%3A11Z&ske=2024-03-27T21%3A12%3A11Z&sks=b&skv=2021-08-06&sig=gjW4sp41PkmAk8/BG661xpcetwI3kPvTyKYGztTK%2BSY%3D\" width=\"400\" height=\"400\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prompt = '''A ferrari'''\n",
    "image_url, revised_prompt = generate_image(prompt)\n",
    "print(f\"Prompt: {prompt}\")\n",
    "print(f\"Revised prompt: {tr.fill(revised_prompt)}\")\n",
    "print(image_url)\n",
    "display(Image(url=image_url, width=400, height=400))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ED2G76z8UNKb",
   "metadata": {
    "id": "ED2G76z8UNKb"
   },
   "source": [
    "## Enhance Prompt with ChatGPT\n",
    "\n",
    "We can have ChatGPT enhance a prompt with some `instructions_prompt_enhancement`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abn-a0pdMU2o",
   "metadata": {
    "id": "abn-a0pdMU2o"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "-dAss_wjDT38",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "-dAss_wjDT38",
    "outputId": "ba5b875a-433b-46a1-ccec-f897058fdba5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prompt enhanced: Create a dynamic, high-octane image reminiscent of a scene from the\n",
      "Fast and Furious movies, featuring a gleaming Ferrari in action. The\n",
      "setting is a bustling, neon-lit city street at night that amplifies\n",
      "the car's vibrant red color. The camera angle should be low and close\n",
      "to the ground, capturing the Ferrari as it speeds by, leaving a blur\n",
      "of motion in its wake. The street lights and neon signs reflect off\n",
      "the car’s immaculate body, creating a play of light and shadow that\n",
      "gives the scene depth and intensity. The lighting should highlight the\n",
      "car’s sleek design and the sense of speed should be palpable, with\n",
      "bystanders turned to watch the impressive machine roar past. The\n",
      "backdrop is a mix of modern skyscrapers and older buildings, with a\n",
      "slight lens flare from the city lights contributing to the dramatic,\n",
      "cinematic quality of the image.\n"
     ]
    }
   ],
   "source": [
    "instructions_prompt_enhancement = '''You will take the prompt and\n",
    "rewrite as a DALLE-3 prompt.  Make it more descriptive with good\n",
    "lighting, camera angles, etc.\n",
    "Make the picture more vivid and stunning. The picture\n",
    "should feel like a scene from the Fast and Furious movies'''\n",
    "\n",
    "prompt_enhanced = get_completion(prompt, instructions_prompt_enhancement,\n",
    "                                 client, MODEL)\n",
    "print(f\"Prompt enhanced: {tr.fill(prompt_enhanced)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "mrEkYe1VUQ2t",
   "metadata": {
    "id": "mrEkYe1VUQ2t"
   },
   "source": [
    "## Show Image from Enhanced Prompt\n",
    "\n",
    "The image from the enhanced prompt (`image_enhanced_url`) should resemble the image from the basic prompt (`image_url`).  You can inspect the difference between your `prompt_enhanced` and the `revised_prompt` ChatGPT created on your behalf."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "jxpysBAbMZGc",
   "metadata": {
    "id": "jxpysBAbMZGc"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8rd8bDLFDs-0",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 737
    },
    "id": "8rd8bDLFDs-0",
    "outputId": "be74c41b-1fc7-4043-b81b-aa51057da9f6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Revised prompt: Generate a dynamic and exciting image that echoes the thrill of high-\n",
      "speed car films. The focus is a shining, luxurious sports car in\n",
      "motion, ideally, a red racing machine. It tears down a busy city\n",
      "street illuminated by neon lights during the night time, which\n",
      "accentuates the car's vibrant coloring. The viewpoint is low, akin to\n",
      "being near the ground, and it seizes the vehicle as it blurs past with\n",
      "impressive velocity. City lights and animated signs cast reflections\n",
      "on the car's flawless surface, forming a dynamic interplay of light\n",
      "and shadow, and adding depth and intensity to the scene. The inherent\n",
      "design, sleek and aerodynamic, of the car should be accented by the\n",
      "lighting, and the sensation of speed should be almost tangible, with\n",
      "onlookers following the awe-inspiring speedster with their gazes. The\n",
      "background comprises a combination of contemporary skyscrapers and\n",
      "antiquated buildings, given an extra dose of drama with a minor lens\n",
      "flare originating from the urban illumination. This touch enhances the\n",
      "overall dramatic, cinematographic quality of the image.\n",
      "https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-lWJHRTCRPGJ2dV8unBlvqmdn.png?st=2024-03-27T02%3A44%3A10Z&se=2024-03-27T04%3A44%3A10Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A12%3A10Z&ske=2024-03-27T21%3A12%3A10Z&sks=b&skv=2021-08-06&sig=E7Lb7YWUBvF%2BugliWFmerijJOlGHQ15Jr/5gVDnf0g4%3D\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-lWJHRTCRPGJ2dV8unBlvqmdn.png?st=2024-03-27T02%3A44%3A10Z&se=2024-03-27T04%3A44%3A10Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A12%3A10Z&ske=2024-03-27T21%3A12%3A10Z&sks=b&skv=2021-08-06&sig=E7Lb7YWUBvF%2BugliWFmerijJOlGHQ15Jr/5gVDnf0g4%3D\" width=\"400\" height=\"400\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "image_enhanced_url, revised_prompt = generate_image(prompt_enhanced)\n",
    "print(f\"Revised prompt: {tr.fill(revised_prompt)}\")\n",
    "print(image_enhanced_url)\n",
    "display(Image(url=image_enhanced_url, width=400, height=400))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "vXbC-TveUhVb",
   "metadata": {
    "id": "vXbC-TveUhVb"
   },
   "source": [
    "# Controlled Image Variations\n",
    "\n",
    "OpenAI likes to enhance our prompts before giving them to DALLE-3, but this enhancement is a bit random and makes it hard to create consistent images.  We need to add to our prompt the following text to prevent the enhancement: `\"I NEED to test how the tool works with extremely simple prompts. DO NOT add any detail, just use it AS-IS:\"`.  Once we add this, we can modify elements of our original prompt to create controlled variations of an image.  This modification is not perfect, so OpenAI will still modify our prompt a little bit.\n",
    "\n",
    "In the code below we will change the color of a flamingo standing on the beach.  The instructions to not modify the prompt are in the string `no_mod`.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "rYf4CdDaMdJ0",
   "metadata": {
    "id": "rYf4CdDaMdJ0"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "RWKj680AUkgN",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "RWKj680AUkgN",
    "outputId": "d49d227e-30c2-47b4-f345-c31ba39d25ea"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prompt: I NEED to test how the tool works with extremely           simple\n",
      "prompts. DO NOT add any detail, just use it AS-IS: A photograph of a\n",
      "single flamingo colored    pink standing on a beach on one leg facing\n",
      "right.\n",
      "Revised prompt: A photograph of a single flamingo colored pink standing on a beach on\n",
      "one leg facing right.\n",
      "https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-cSmB8yVSGzNf4Be8WjciKT3M.png?st=2024-03-27T02%3A44%3A28Z&se=2024-03-27T04%3A44%3A28Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A11%3A13Z&ske=2024-03-27T21%3A11%3A13Z&sks=b&skv=2021-08-06&sig=eL/qbV1eOWvWXZRd6ih7aGXfdKktJWCDugRffeEU1U8%3D\n"
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      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prompt: I NEED to test how the tool works with extremely           simple\n",
      "prompts. DO NOT add any detail, just use it AS-IS: A photograph of a\n",
      "single flamingo colored    green standing on a beach on one leg facing\n",
      "right.\n",
      "Revised prompt: A photograph of a single flamingo colored green standing on a beach on\n",
      "one leg facing right.\n",
      "https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-1jRSAx0IlOZ6on0xYy1F84B9.png?st=2024-03-27T02%3A44%3A38Z&se=2024-03-27T04%3A44%3A38Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A16%3A59Z&ske=2024-03-27T21%3A16%3A59Z&sks=b&skv=2021-08-06&sig=on1cY0wxBbbtz%2BoHQZOBEeZkiuWgwHbgYSKGbPhee2k%3D\n"
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       "<img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-1jRSAx0IlOZ6on0xYy1F84B9.png?st=2024-03-27T02%3A44%3A38Z&se=2024-03-27T04%3A44%3A38Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A16%3A59Z&ske=2024-03-27T21%3A16%3A59Z&sks=b&skv=2021-08-06&sig=on1cY0wxBbbtz%2BoHQZOBEeZkiuWgwHbgYSKGbPhee2k%3D\" width=\"400\" height=\"400\"/>"
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     "metadata": {},
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prompt: I NEED to test how the tool works with extremely           simple\n",
      "prompts. DO NOT add any detail, just use it AS-IS: A photograph of a\n",
      "single flamingo colored    orange standing on a beach on one leg\n",
      "facing right.\n",
      "Revised prompt: A photograph of a single flamingo colored orange standing on a beach\n",
      "on one leg facing right.\n",
      "https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-Hp4ZyaB9ctlKbd4VbchfpR91.png?st=2024-03-27T02%3A44%3A46Z&se=2024-03-27T04%3A44%3A46Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A08%3A25Z&ske=2024-03-27T21%3A08%3A25Z&sks=b&skv=2021-08-06&sig=Pz9N33H/q76LhWlG%2BhnXMBxCPKYyG0wGGEt6BTexh3c%3D\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-Hp4ZyaB9ctlKbd4VbchfpR91.png?st=2024-03-27T02%3A44%3A46Z&se=2024-03-27T04%3A44%3A46Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A08%3A25Z&ske=2024-03-27T21%3A08%3A25Z&sks=b&skv=2021-08-06&sig=Pz9N33H/q76LhWlG%2BhnXMBxCPKYyG0wGGEt6BTexh3c%3D\" width=\"400\" height=\"400\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "no_mod = '''I NEED to test how the tool works with extremely\n",
    "          simple prompts. DO NOT add any detail, just use it AS-IS:'''\n",
    "\n",
    "colors = ['pink', 'green', 'orange']\n",
    "\n",
    "for color in colors:\n",
    "  prompt = f'''{no_mod} A photograph of a single flamingo colored\n",
    "   {color} standing on a beach on one leg facing right.'''\n",
    "\n",
    "  image_url, revised_prompt = generate_image(prompt)\n",
    "\n",
    "  print(f\"Prompt: {tr.fill(prompt)}\")\n",
    "  print(f\"Revised prompt: {tr.fill(revised_prompt)}\")\n",
    "  print(image_url)\n",
    "  display(Image(url=image_url, width=400, height=400))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "LEi9F8keFGWi",
   "metadata": {
    "id": "LEi9F8keFGWi"
   },
   "source": [
    "# Edit Image (Optional)\n",
    "\n",
    "We have many ways to edit an image with text.  We will try some here. To edit an image you created in this notebook, first save it to your computer so you can upload it to the editing website.  \n",
    "\n",
    "1. DALL-E 2: If you want to edit an image with DALL-E 2, you can try it here: https://labs.openai.com/.\n",
    "\n",
    "2. Firefly: If you want to edit an image with Adobe's Firefly, you can try it here: https://firefly.adobe.com/\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "QBUMwCN4dyfG",
   "metadata": {
    "id": "QBUMwCN4dyfG"
   },
   "source": [
    "# Images with Sentiment\n",
    "\n",
    "We can add sentiment to the image prompt to get a different mood for an image"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "VbYq0Li-Kmtv",
   "metadata": {
    "id": "VbYq0Li-Kmtv"
   },
   "source": [
    "## Define Sentiment Scale\n",
    "\n",
    "We will use numerical value for the `sentiments` and define the max value `sentiment_max` (we assume the min is zero).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "yg_-MDe_MnD_",
   "metadata": {
    "id": "yg_-MDe_MnD_"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f1eXQ69MKq3-",
   "metadata": {
    "id": "f1eXQ69MKq3-"
   },
   "outputs": [],
   "source": [
    "sentiments = [1, 10]\n",
    "sentiment_max = 10"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "taawBp08dDsJ",
   "metadata": {
    "id": "taawBp08dDsJ"
   },
   "source": [
    "## Create Sentiment Specific Image and Content\n",
    "\n",
    "We will go through each value in `sentiments` and generate the corresponding image of the `subject`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "k_wyXMEGMmnw",
   "metadata": {
    "id": "k_wyXMEGMmnw"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "P3rgsgIKYNEy",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "P3rgsgIKYNEy",
    "outputId": "6ea6b6a4-1fc0-4736-c74d-2feada706c5c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sentiment 1/10\n",
      "Prompt: The subject here is a house being described with a sentiment score of\n",
      "1 out of 10, indicating a very negative perception. Here is how that\n",
      "could be portrayed:  From the very first glance, the house presents\n",
      "itself as a picture of despair, its exterior a patchwork of decaying\n",
      "timbers and crumbling brickwork. The once-vivid paint that might have\n",
      "given a semblance of cheer has long since faded into an indistinct,\n",
      "peeling mess, flapping limply in the harsh winds like the pennants of\n",
      "a defeated army. The garden, if it can still be called that, is a\n",
      "wasteland of weeds, the overgrown tangle of vegetation like a net,\n",
      "ensnaring the remnants of forgotten outdoor furnishings.   Windows,\n",
      "blank and lifeless, stare out soullessly, many broken or boarded up as\n",
      "if to shield the outside world from the misery within. The gutters are\n",
      "choked with debris, causing rainwater to spill over in rivulets down\n",
      "the face of the house, further eroding the integrity of the structure.\n",
      "The roof sags noticeably in places, tiles missing or misaligned,\n",
      "offering little defense against the elements which seem to have taken\n",
      "a particular disdain towards the residence, constantly gnawing at its\n",
      "already compromised form.  Step inside, and the air is heavy with the\n",
      "stench of mold and the sharp tang of decay. The floorboards moan\n",
      "underfoot, a lament in every step, threatening to give way and consign\n",
      "any unwary visitor to the forgotten void beneath. The walls, stained\n",
      "by damp and water damage, are canvases of neglect, with plaster\n",
      "peeling back in curled, mocking smiles. Not a single corner escapes\n",
      "the encroachment of rot and disrepair.  The house speaks of\n",
      "desolation, a hollow echo of a home that has not known care or warmth\n",
      "for eons. It’s a place where hope seems to have wilted like the once\n",
      "bright wallpaper, now tarnished with the patina of abandonment and\n",
      "sorrow. There's a palpable weight in the stale air, a burden of years\n",
      "of memories that have soured, the laughter and love that might once\n",
      "have filled the rooms long since silenced by the oppressive ambience\n",
      "of decay.  In every corner, it's as if the shadows themselves have\n",
      "taken up permanent residence, a testament to the profound neglect that\n",
      "has seeped into the very essence of the house. To look upon it is to\n",
      "see not just a structure in disrepair, but the echo of a brighter past\n",
      "now choked out by the relentless, creeping ruin. This is a building\n",
      "that doesn't invite occupants so much as it warns away the living, a\n",
      "spectral remnant more akin to a tomb than a house, standing as a\n",
      "morose monument to abandonment and despair.\n",
      "\n",
      "Revised prompt: Visualize a distressed house demonstrating an extreme level of\n",
      "disrepair and negative sentiment. The exterior is a patchwork of\n",
      "decaying timbers and crumbling brickwork, paint is faded and peeling,\n",
      "garden overloaded with weeds. Windows are lifeless, many broken or\n",
      "boarded up. The gutters are filled with debris, causing rainwater to\n",
      "overflow. The roof sags, tiles missing or misaligned. The inside air\n",
      "is heavy with the smell of mold. Floorboards moan underfoot, walls are\n",
      "stained and plaster is peeling off. The interiors convey a feeling of\n",
      "desolation, abandonment, and sorrow, more akin to a tomb than a house.\n",
      "It stands as a morose monument of despair.\n",
      "https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-IF8tzLfDR9oyt0ts4YSjKHt5.png?st=2024-03-27T02%3A45%3A43Z&se=2024-03-27T04%3A45%3A43Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A17%3A29Z&ske=2024-03-27T21%3A17%3A29Z&sks=b&skv=2021-08-06&sig=yR9bAzAR2ec3Gg2fOXWP0vNbtFYLjQsEPIDyi9WTXFo%3D\n"
     ]
    },
    {
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    {
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     "text": [
      "Sentiment 10/10\n",
      "Prompt: Picture a house that embodies the very essence of perfection, warmth,\n",
      "and happiness—a delightful sanctuary that seems to have been crafted\n",
      "by the hands of affection itself, brilliantly designed to host a\n",
      "lifetime of cherished memories. This house, with its inviting\n",
      "presence, stands proudly as a testament to exquisite architecture and\n",
      "loving attention to detail.  From the moment you set eyes on it, the\n",
      "exterior of the house welcomes you with its impeccable landscaping,\n",
      "where vibrant flowers dance in unison with the gentle breeze and the\n",
      "lush, green grass whispers tales of serene, lazy afternoons. The\n",
      "facade is a harmonious blend of classic and modern design, with\n",
      "windows that sparkle like jewels under the sun's loving gaze and a\n",
      "front door that echoes the promise of a warm embrace.  Stepping\n",
      "inside, the interior of the house seems to unfold like a beautiful\n",
      "narrative of comfort and style. The foyer greets you with soft,\n",
      "ambient lighting that casts a glow over the tasteful decor, suggesting\n",
      "that every corner has been thoughtfully arranged to offer a blend of\n",
      "aesthetics and functionality. The color palette is a soothing symphony\n",
      "of neutral tones, accented with splashes of color that add a joyful\n",
      "pulse to the serene atmosphere.  The living room is a masterpiece of\n",
      "sociability and relaxation, with plush seating that begs to cradle you\n",
      "after a long day. The fireplace, a charming centerpiece, crackles\n",
      "softly on chilly evenings, casting a dance of shadows that enriches\n",
      "the room with an enchanting, fairy-tale quality. Sunlight streams\n",
      "through the generous windows, bathing the space in a golden hue that\n",
      "energizes the soul.  The kitchen is nothing short of a chef's dream,\n",
      "boasting state-of-the-art appliances that gleam with a promise of\n",
      "culinary adventure. The countertops, expansive and welcoming, are a\n",
      "stage for family and friends to gather and bond over the artistry of\n",
      "home-cooked meals. The scent of delicious creations lingers in the\n",
      "air, stirring appetites and kindling conversation.  As you ascend to\n",
      "the upper levels, the bedrooms are sanctuaries of tranquility, each\n",
      "with their own unique character yet all equally luxurious. The beds,\n",
      "dressed in the finest linens, seem to call out for restful slumber\n",
      "beneath their cloud-like comforters. Every morning, the rooms are\n",
      "bathed in a soft light that refreshes and invigorates, making waking\n",
      "up a little piece of heaven.  The bathrooms feature exquisite fixtures\n",
      "and finishes that transform daily routines into spa-like experiences.\n",
      "Here, one can unwind in the embrace of a deep soaking tub or\n",
      "invigorating shower, surrounded by tasteful decor that speaks to a\n",
      "loving attention to detail.  Outside, the backyard is an oasis\n",
      "designed for leisure and joyous gatherings—a place where laughter\n",
      "lingers long into the starlit evenings. Children run and play on the\n",
      "meticulously maintained lawn, while adults relax on the delightful\n",
      "patio, savoring the simple pleasure of good company in a breathtaking\n",
      "setting.  This house, in all its radiant splendor, is more than just a\n",
      "dwelling. It is a nurturing environment, a vessel of dreams, and an\n",
      "abode of peace. It earns a resounding 10/10 not just for its tangible\n",
      "qualities, but for the intangible warmth and love it represents—an\n",
      "ultimate sentiment of home, and of life lived to its fullest.\n",
      "\n",
      "Revised prompt: Envision a picturesque house that exudes perfection, warmth, and joy.\n",
      "It's exterior boasts admirable architecture combining classic and\n",
      "modern design, with jewel-like windows soaking up the sun, and a front\n",
      "door reflecting the promise of a cozy welcome. The interior narrates a\n",
      "tale of comfort and elegance, with each corner thoughtfully decorated\n",
      "to blend aesthetics and usability. The living room invites relaxation,\n",
      "with a fireplace adding a whimsical touch and the sunlight painting\n",
      "the room in gold hues. The kitchen impresses with modern appliances\n",
      "and ample countertops for culinary adventures. Upstairs, the bedrooms\n",
      "are havens of peace, radiating luxury and comfort. The bathrooms are\n",
      "crafted with exquisite fixtures, simulating a spa-like experience. The\n",
      "backyard is a vibrant oasis for leisure and social gatherings. This\n",
      "house is not just a building, but a nurturing environment embodying a\n",
      "perfect 10/10 home.\n",
      "https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-mfxIihFj82b820FwOfHv7GgI.png?st=2024-03-27T02%3A46%3A31Z&se=2024-03-27T04%3A46%3A31Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A09%3A41Z&ske=2024-03-27T21%3A09%3A41Z&sks=b&skv=2021-08-06&sig=TT2Qf7K2Mq2MPG69D0OvCVXRBYp0ZELzhJQ7aGnoga8%3D\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-mfxIihFj82b820FwOfHv7GgI.png?st=2024-03-27T02%3A46%3A31Z&se=2024-03-27T04%3A46%3A31Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A09%3A41Z&ske=2024-03-27T21%3A09%3A41Z&sks=b&skv=2021-08-06&sig=TT2Qf7K2Mq2MPG69D0OvCVXRBYp0ZELzhJQ7aGnoga8%3D\" width=\"400\" height=\"400\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "subject = 'a house'\n",
    "\n",
    "instructions = f'''Write a detailed description about the\n",
    "given subject with the given sentiment.'''\n",
    "for sentiment in sentiments:\n",
    "  prompt = f'''{subject}  with a {sentiment}/{sentiment_max} sentiment.'''\n",
    "\n",
    "  prompt_img = get_completion(prompt, instructions,client, MODEL)\n",
    "  image_url, revised_prompt = generate_image(prompt_img)\n",
    "\n",
    "  print(f\"Sentiment {sentiment}/{sentiment_max}\")\n",
    "  print(f\"Prompt: {tr.fill(prompt_img)}\")\n",
    "  print(f\"\\nRevised prompt: {tr.fill(revised_prompt)}\")\n",
    "  print(image_url)\n",
    "  display(Image(url=image_url, width=400, height=400))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d925636",
   "metadata": {
    "id": "0d925636"
   },
   "source": [
    "# Create Content and an Instagram Account for a Fashion Brand\n",
    "\n",
    "Now we will go one step further in our generative process.  We assume we have a fashion brand for which we can provide a description.  Then we will use AI to\n",
    "\n",
    "1. Create the account screen name and bio\n",
    "\n",
    "2. Create the account profile picture\n",
    "\n",
    "3. Get ideas for images to post on Instagram\n",
    "\n",
    "4. Create the images and their captions.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ZcNFk7ZVqOzo",
   "metadata": {
    "id": "ZcNFk7ZVqOzo"
   },
   "source": [
    "## Account Description\n",
    "\n",
    "Provide a description of the fashion brand account."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1d2cb36b",
   "metadata": {
    "id": "1d2cb36b"
   },
   "outputs": [],
   "source": [
    "account_description = '''A futuristic fashion brand that\n",
    "evokes Blade Runner vibes.'''\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65BmSN8a1Ilr",
   "metadata": {
    "id": "65BmSN8a1Ilr"
   },
   "source": [
    "## Generate Screen Name and Bio for Account\n",
    "\n",
    "We will have ChatGPT return the `screen_name` and `bio` as as JSON object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "pHtdo1jzvMED",
   "metadata": {
    "id": "pHtdo1jzvMED"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "vhSpdGGp1OCT",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "vhSpdGGp1OCT",
    "outputId": "56e709db-8d41-4ebf-b6d1-4f231c74ad7f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Screen name: @NeoNexusApparel\n",
      "Bio: 🌆 Fashion from the Future // Blade Runner aesthetic // For the neo-\n",
      "metropolitan soul. 🕶️ Unlock your next-gen style with us.\n",
      "#NeoNexusWave\n"
     ]
    }
   ],
   "source": [
    "prompt_screen_name_bio = f'''Come up with a good screen name and bio that\n",
    "sounds cool and not corny for this Instagram account:{account_description}.\n",
    "Return just the screen name and bio as JSON with keys \"screen_name\" and \"bio\".'''\n",
    "\n",
    "response = get_completion(prompt_screen_name_bio, '',client,  MODEL, 'json_object')\n",
    "response_json = ast.literal_eval(response.strip())\n",
    "\n",
    "screen_name = response_json['screen_name']\n",
    "bio = response_json['bio']\n",
    "\n",
    "print(f\"Screen name: @{screen_name}\\nBio: {tr.fill(bio)}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "kjmisJLKzys_",
   "metadata": {
    "id": "kjmisJLKzys_"
   },
   "source": [
    "## Generate Profile Picture for Account\n",
    "\n",
    "We will use `prompt_profile_pic` to tell ChatGPT to create a description `prompt` of the profile picture for the account using the `screen_name` and `bio`.  Then we will give this `prompt` to it again to generate the profile picture."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0x97plVivMrz",
   "metadata": {
    "id": "0x97plVivMrz"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "LIY169aUz2LG",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 459
    },
    "id": "LIY169aUz2LG",
    "outputId": "93d6a192-7a5f-4138-f196-a504f06136f4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-T0IWCKnjtaljLEWGSGwBRLNS.png?st=2024-03-27T02%3A49%3A04Z&se=2024-03-27T04%3A49%3A04Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A17%3A54Z&ske=2024-03-27T21%3A17%3A54Z&sks=b&skv=2021-08-06&sig=0ZhuwGWuGtxChTrD8TT/w4A0J89Jg6R4tllQagiTWGk%3D\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-T0IWCKnjtaljLEWGSGwBRLNS.png?st=2024-03-27T02%3A49%3A04Z&se=2024-03-27T04%3A49%3A04Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A17%3A54Z&ske=2024-03-27T21%3A17%3A54Z&sks=b&skv=2021-08-06&sig=0ZhuwGWuGtxChTrD8TT/w4A0J89Jg6R4tllQagiTWGk%3D\" width=\"400\" height=\"400\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prompt_profile_pic = f'''Write a DALLE-3 Prompt for the Instagram profile\n",
    "                        pic for this account:\n",
    "                        @{screen_name}\\n{bio}'''\n",
    "\n",
    "prompt = get_completion(prompt_profile_pic, '',client,  MODEL)\n",
    "profile_image_url, revised_prompt = generate_image(prompt)\n",
    "\n",
    "print(profile_image_url)\n",
    "display(Image(url=profile_image_url, width=400, height=400))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "iou5PFR9twuy",
   "metadata": {
    "id": "iou5PFR9twuy"
   },
   "source": [
    "## Generate Image Category Ideas\n",
    "\n",
    "Ask ChatGPT for ideas of categories of images this account can post.  We will return the answer as an HTML string so it is easier to read."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "GPzznkkqtzEQ",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 536
    },
    "id": "GPzznkkqtzEQ",
    "outputId": "14e8f2e7-d345-43ae-e04b-0440e9c6b03a"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "```html\n",
       "<!DOCTYPE html>\n",
       "<html lang=\"en\">\n",
       "<head>\n",
       "    <meta charset=\"UTF-8\">\n",
       "    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n",
       "    <title>Content Ideas for @NeoNexusApparel</title>\n",
       "    <style>\n",
       "        body {\n",
       "            font-family: 'Arial', sans-serif;\n",
       "            background-color: #f0f0f0;\n",
       "            color: #333;\n",
       "            line-height: 1.6;\n",
       "            padding: 20px;\n",
       "        }\n",
       "        .content-ideas {\n",
       "            margin: 20px 0;\n",
       "        }\n",
       "        .idea {\n",
       "            background-color: #fff;\n",
       "            border: 2px solid #ddd;\n",
       "            padding: 15px;\n",
       "            margin-bottom: 10px;\n",
       "            border-radius: 5px;\n",
       "        }\n",
       "        .title {\n",
       "            font-size: 1.2em;\n",
       "            margin-bottom: 5px;\n",
       "        }\n",
       "        .description {\n",
       "            font-size: 1em;\n",
       "        }\n",
       "        .hashtag {\n",
       "            color: #007bff;\n",
       "        }\n",
       "    </style>\n",
       "</head>\n",
       "<body>\n",
       "    <h1>Instagram Content Ideas for @NeoNexusApparel</h1>\n",
       "    <div class=\"content-ideas\">\n",
       "        <div class=\"idea\">\n",
       "            <div class=\"title\">1. Cyberpunk Streetwear Sets</div>\n",
       "            <div class=\"description\">Feature a series of photos showcasing bold, cyberpunk-inspired outfits. Pair reflective materials and LED-infused accessories with dark, urban background settings to capture the Blade Runner aesthetic. Use captions to tell a futuristic fashion story, and invite followers to share their own #NeoNexusWave looks.</div>\n",
       "        </div>\n",
       "        \n",
       "        <div class=\"idea\">\n",
       "            <div class=\"title\">2. Behind-the-Scenes: Design Process</div>\n",
       "            <div class=\"description\">Give followers a glimpse into the creative process behind your fashion pieces. Share videos or time-lapse content of sketches, mood boards, and the assembly of high-tech garments. Engage with users by asking for feedback on upcoming designs and feature sneak peeks of new collections.</div>\n",
       "        </div>\n",
       "\n",
       "        <div class=\"idea\">\n",
       "            <div class=\"title\">3. Interactive Neo-Metropolitan Storytelling</div>\n",
       "            <div class=\"description\">Launch an interactive campaign that intertwines fashion, narrative, and the cityscape. Post a series of interconnected stories featuring models as characters from a neo-metropolitan world wearing NeoNexusApparel. Prompt users to vote on plot directions or suggest storylines, merging community engagement with brand promotion.</div>\n",
       "        </div>\n",
       "    </div>\n",
       "</body>\n",
       "</html>\n",
       "```"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prompt = f'''Give me a list of 3 content ideas that would be posted to Instagram\n",
    "for this account:\n",
    "@{screen_name}\\n{bio}'''\n",
    "instructions = 'Return the answer as an easy to read HTML string.'\n",
    "response = get_completion(prompt, instructions,client,  MODEL, 'text')\n",
    "\n",
    "display(HTML(response))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "QpE2Z57lqS2N",
   "metadata": {
    "id": "QpE2Z57lqS2N"
   },
   "source": [
    "## Generate Image Prompts\n",
    "\n",
    "We will ask the AI to generate prompts for images based on one of the idea categories, or any category we choose.  The string `idea` is the description of the idea category.  The number of images created is `n_images`.  We will save the generated image prompts to a dataframe `df_content`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ML89E_1dvPue",
   "metadata": {
    "id": "ML89E_1dvPue"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "X3BS_HzI1xrf",
   "metadata": {
    "id": "X3BS_HzI1xrf"
   },
   "outputs": [],
   "source": [
    "idea = ''' Cyberpunk Streetwear Sets'''\n",
    "n_images = 2\n",
    "\n",
    "\n",
    "instructions = f'''you will help create cool looking content\n",
    "for @{screen_name}:\\n{bio}.  You will be given an idea concept\n",
    "and create image descriptions'''\n",
    "\n",
    "instructions+= '''You return the answers as prompts for Dalle-3\n",
    "as JSON output with key \"prompt\" and values a list of\n",
    "the generated prompts.'''\n",
    "\n",
    "\n",
    "prompt =  f'''Give me {n_images} different and unique ideas for images\n",
    "of the concept: {idea}.'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9d7c13c6",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 147
    },
    "id": "9d7c13c6",
    "outputId": "dbec0831-30c3-417b-d3da-c83338fb0d81"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"df_content\",\n  \"rows\": 2,\n  \"fields\": [\n    {\n      \"column\": \"prompt\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"A duo posing on a bustling cyberpunk cityscape rooftop at dusk. One model sports a tactical cyberpunk vest with an array of smart fabrics displaying moving graphics, paired with rugged utility pants and holographic arm bands. The other model showcases a cyber-enhanced denim jacket with built-in screen patches, blacklight-reactive leggings, and modular, light-up platform boots. The skyline glows with holographic billboards in the background.\",\n          \"A model standing confidently in a neon-lit alleyway, wearing a high-tech, layered cyberpunk streetwear set. The outfit includes an iridescent, color-shifting trench coat over a sleek bodysuit with neon piping. Completing the look with augmented reality glasses, LED-lit sneakers, and a drone hovering just above their shoulder.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe",
       "variable_name": "df_content"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-ea31bbbb-b39d-491d-a897-a38d62a64789\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>prompt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A model standing confidently in a neon-lit alleyway, wearing a high-tech, layered cyberpunk streetwear set. The outfit includes an iridescent, color-shifting trench coat over a sleek bodysuit with neon piping. Completing the look with augmented reality glasses, LED-lit sneakers, and a drone hovering just above their shoulder.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A duo posing on a bustling cyberpunk cityscape rooftop at dusk. One model sports a tactical cyberpunk vest with an array of smart fabrics displaying moving graphics, paired with rugged utility pants and holographic arm bands. The other model showcases a cyber-enhanced denim jacket with built-in screen patches, blacklight-reactive leggings, and modular, light-up platform boots. The skyline glows with holographic billboards in the background.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ea31bbbb-b39d-491d-a897-a38d62a64789')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-ea31bbbb-b39d-491d-a897-a38d62a64789 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-ea31bbbb-b39d-491d-a897-a38d62a64789');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "<div id=\"df-f941d996-a5f9-4d73-8f38-4acaedee8e1b\">\n",
       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f941d996-a5f9-4d73-8f38-4acaedee8e1b')\"\n",
       "            title=\"Suggest charts\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "     width=\"24px\">\n",
       "    <g>\n",
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       "    </g>\n",
       "</svg>\n",
       "  </button>\n",
       "\n",
       "<style>\n",
       "  .colab-df-quickchart {\n",
       "      --bg-color: #E8F0FE;\n",
       "      --fill-color: #1967D2;\n",
       "      --hover-bg-color: #E2EBFA;\n",
       "      --hover-fill-color: #174EA6;\n",
       "      --disabled-fill-color: #AAA;\n",
       "      --disabled-bg-color: #DDD;\n",
       "  }\n",
       "\n",
       "  [theme=dark] .colab-df-quickchart {\n",
       "      --bg-color: #3B4455;\n",
       "      --fill-color: #D2E3FC;\n",
       "      --hover-bg-color: #434B5C;\n",
       "      --hover-fill-color: #FFFFFF;\n",
       "      --disabled-bg-color: #3B4455;\n",
       "      --disabled-fill-color: #666;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart {\n",
       "    background-color: var(--bg-color);\n",
       "    border: none;\n",
       "    border-radius: 50%;\n",
       "    cursor: pointer;\n",
       "    display: none;\n",
       "    fill: var(--fill-color);\n",
       "    height: 32px;\n",
       "    padding: 0;\n",
       "    width: 32px;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart:hover {\n",
       "    background-color: var(--hover-bg-color);\n",
       "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "    fill: var(--button-hover-fill-color);\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart-complete:disabled,\n",
       "  .colab-df-quickchart-complete:disabled:hover {\n",
       "    background-color: var(--disabled-bg-color);\n",
       "    fill: var(--disabled-fill-color);\n",
       "    box-shadow: none;\n",
       "  }\n",
       "\n",
       "  .colab-df-spinner {\n",
       "    border: 2px solid var(--fill-color);\n",
       "    border-color: transparent;\n",
       "    border-bottom-color: var(--fill-color);\n",
       "    animation:\n",
       "      spin 1s steps(1) infinite;\n",
       "  }\n",
       "\n",
       "  @keyframes spin {\n",
       "    0% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "      border-left-color: var(--fill-color);\n",
       "    }\n",
       "    20% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    30% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    40% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    60% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    80% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "    90% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "  }\n",
       "</style>\n",
       "\n",
       "  <script>\n",
       "    async function quickchart(key) {\n",
       "      const quickchartButtonEl =\n",
       "        document.querySelector('#' + key + ' button');\n",
       "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
       "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
       "      try {\n",
       "        const charts = await google.colab.kernel.invokeFunction(\n",
       "            'suggestCharts', [key], {});\n",
       "      } catch (error) {\n",
       "        console.error('Error during call to suggestCharts:', error);\n",
       "      }\n",
       "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
       "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
       "    }\n",
       "    (() => {\n",
       "      let quickchartButtonEl =\n",
       "        document.querySelector('#df-f941d996-a5f9-4d73-8f38-4acaedee8e1b button');\n",
       "      quickchartButtonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "    })();\n",
       "  </script>\n",
       "</div>\n",
       "\n",
       "  <div id=\"id_1d7d932b-ea37-4bea-9cd4-1df345972728\">\n",
       "    <style>\n",
       "      .colab-df-generate {\n",
       "        background-color: #E8F0FE;\n",
       "        border: none;\n",
       "        border-radius: 50%;\n",
       "        cursor: pointer;\n",
       "        display: none;\n",
       "        fill: #1967D2;\n",
       "        height: 32px;\n",
       "        padding: 0 0 0 0;\n",
       "        width: 32px;\n",
       "      }\n",
       "\n",
       "      .colab-df-generate:hover {\n",
       "        background-color: #E2EBFA;\n",
       "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "        fill: #174EA6;\n",
       "      }\n",
       "\n",
       "      [theme=dark] .colab-df-generate {\n",
       "        background-color: #3B4455;\n",
       "        fill: #D2E3FC;\n",
       "      }\n",
       "\n",
       "      [theme=dark] .colab-df-generate:hover {\n",
       "        background-color: #434B5C;\n",
       "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "        fill: #FFFFFF;\n",
       "      }\n",
       "    </style>\n",
       "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df_content')\"\n",
       "            title=\"Generate code using this dataframe.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "       width=\"24px\">\n",
       "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "    <script>\n",
       "      (() => {\n",
       "      const buttonEl =\n",
       "        document.querySelector('#id_1d7d932b-ea37-4bea-9cd4-1df345972728 button.colab-df-generate');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      buttonEl.onclick = () => {\n",
       "        google.colab.notebook.generateWithVariable('df_content');\n",
       "      }\n",
       "      })();\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                         prompt\n",
       "0                                                                                                                       A model standing confidently in a neon-lit alleyway, wearing a high-tech, layered cyberpunk streetwear set. The outfit includes an iridescent, color-shifting trench coat over a sleek bodysuit with neon piping. Completing the look with augmented reality glasses, LED-lit sneakers, and a drone hovering just above their shoulder.\n",
       "1  A duo posing on a bustling cyberpunk cityscape rooftop at dusk. One model sports a tactical cyberpunk vest with an array of smart fabrics displaying moving graphics, paired with rugged utility pants and holographic arm bands. The other model showcases a cyber-enhanced denim jacket with built-in screen patches, blacklight-reactive leggings, and modular, light-up platform boots. The skyline glows with holographic billboards in the background."
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response = get_completion(prompt, instructions,client, MODEL, 'json_object')\n",
    "\n",
    "#convert the text response into a json object, then a dataframe\n",
    "prompt_json = ast.literal_eval(response.strip())\n",
    "df_content = pd.DataFrame(prompt_json)\n",
    "df_content\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ln6gyDlWqXMM",
   "metadata": {
    "id": "ln6gyDlWqXMM"
   },
   "source": [
    "## Generate Image for Each Prompt\n",
    "\n",
    "We go through `df_content` and create an image for each `prompt`.  We add the `image_url` as a column to `df_content`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "tDSoOhRHvTd1",
   "metadata": {
    "id": "tDSoOhRHvTd1"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "691aff98",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "691aff98",
    "outputId": "1696a9c6-8ac5-4ab9-f8e7-b9181d4e2eec"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1. A model standing confidently in a neon-lit alleyway, wearing a high-\n",
      "tech, layered cyberpunk streetwear set. The outfit includes an iridescent,\n",
      "color-shifting trench coat over a sleek bodysuit with neon piping.\n",
      "Completing the look with augmented reality glasses, LED-lit sneakers, and a\n",
      "drone hovering just above their shoulder.\n",
      "https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-8ixUCiuhNYKATJHXAir4LiI4.png?st=2024-03-27T02%3A50%3A52Z&se=2024-03-27T04%3A50%3A52Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A41%3A07Z&ske=2024-03-27T21%3A41%3A07Z&sks=b&skv=2021-08-06&sig=vYWQXBSKNEdU4ojQWevxig0CNnfXBdqUb3OMvg5U5m4%3D\n",
      "2. A duo posing on a bustling cyberpunk cityscape rooftop at dusk. One\n",
      "model sports a tactical cyberpunk vest with an array of smart fabrics\n",
      "displaying moving graphics, paired with rugged utility pants and\n",
      "holographic arm bands. The other model showcases a cyber-enhanced denim\n",
      "jacket with built-in screen patches, blacklight-reactive leggings, and\n",
      "modular, light-up platform boots. The skyline glows with holographic\n",
      "billboards in the background.\n",
      "https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-B6vOQ40Cbpx9XEbu7Tm8hk8Y.png?st=2024-03-27T02%3A51%3A04Z&se=2024-03-27T04%3A51%3A04Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A12%3A54Z&ske=2024-03-27T21%3A12%3A54Z&sks=b&skv=2021-08-06&sig=Awz9zg6EkO7MDU2ib4XB0QSIaA6mZq4tCr8pwdnPYVc%3D\n"
     ]
    }
   ],
   "source": [
    "#generate the image for each prompt\n",
    "for index, row in df_content.iterrows():\n",
    "  prompt = row['prompt']\n",
    "\n",
    "  print(tr.fill(f\"{index+1}. {prompt}\", width = 75))\n",
    "  image_url, revised_prompt = generate_image(prompt)\n",
    "  print(image_url)\n",
    "\n",
    "  df_content.loc[index,'image_url'] = image_url\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "MDL_9rNstE-_",
   "metadata": {
    "id": "MDL_9rNstE-_"
   },
   "source": [
    "## Generate Captions for each Image\n",
    "\n",
    "We go through `df_content` and create a caption for each image based on its `prompt`.  We add this as a column to `df_content`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "XLH44BYovU4n",
   "metadata": {
    "id": "XLH44BYovU4n"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4KJMXDHetIf4",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "4KJMXDHetIf4",
    "outputId": "5abd33c3-6591-4ea1-e2f5-9c4720a31f1b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1. Navigating the neon jungle with an edge that cuts through the din of\n",
      "the ordinary. This is the dress code for the new era—where the\n",
      "streetlights bend to your aura, and style isn't just worn, it's\n",
      "encoded. 🔌✨ Unleash your vibe. #NeoNexusApparel #FutureIsNow\n",
      "\n",
      "2. In the neon-drenched skyline, our threads weave the future into now.\n",
      "Vest vibes with a digital pulse and denim dialed into the next\n",
      "dimension—this is the uniform of urban avant-garde. Ascend the chaos\n",
      "in style. ⚡️🏙️ #NeoNexusWave #CityscapeCouture\n",
      "\n"
     ]
    }
   ],
   "source": [
    "instructions_caption = f'''You will take the given prompt for an image\n",
    "and write an engaging Instagram caption that is cool, aloof, and not corny\n",
    "for the account with this screen name and bio: @{screen_name}:\\n{bio}.'''\n",
    "\n",
    "for index, row in df_content.iterrows():\n",
    "  prompt = row['prompt']\n",
    "  caption  = get_completion(prompt, instructions_caption,client, MODEL, 'text')\n",
    "  df_content.loc[index,'caption'] = caption\n",
    "\n",
    "  print(f\"{index+1}. {tr.fill(caption)}\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dX5hLkpnxb-B",
   "metadata": {
    "id": "dX5hLkpnxb-B"
   },
   "source": [
    "## Display Image and Caption as Instagram Posts\n",
    "\n",
    "This code will dispaly the images and captions as Instagram posts using the `display_IG` function that was written with the help of ChatGPT and a screenshot of an Instagram post (AI is really impressive these days).   It will also save the posts as HTML files if you want to download them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "tBGqTXTow6dJ",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "tBGqTXTow6dJ",
    "outputId": "f8d4280c-6dd3-424b-9bb2-8879f0b15708"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <style>\n",
       "        .instagram-post {\n",
       "            border: 1px solid #e1e1e1;\n",
       "            border-radius: 3px;\n",
       "            width: 600px;\n",
       "            margin: 20px auto;\n",
       "            background-color: white;\n",
       "            font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;\n",
       "        }\n",
       "        .instagram-header {\n",
       "            padding: 14px;\n",
       "            border-bottom: 1px solid #e1e1e1;\n",
       "            display: flex;\n",
       "            align-items: center;\n",
       "        }\n",
       "        .instagram-profile-pic {\n",
       "            border-radius: 50%;\n",
       "            width: 32px;\n",
       "            height: 32px;\n",
       "            margin-right: 10px;\n",
       "        }\n",
       "        .instagram-screen-name {\n",
       "            font-weight: bold;\n",
       "            color: #262626;\n",
       "            text-decoration: none;\n",
       "            font-size: 14px;\n",
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       "        .instagram-image {\n",
       "            max-width: 600px;\n",
       "            width: auto;\n",
       "            height: auto;\n",
       "            display: block;\n",
       "            margin: auto;\n",
       "        }\n",
       "        .instagram-caption {\n",
       "            padding: 10px;\n",
       "            font-size: 14px;\n",
       "            color: #262626;\n",
       "        }\n",
       "        .instagram-footer {\n",
       "            padding: 10px;\n",
       "            border-top: 1px solid #e1e1e1;\n",
       "        }\n",
       "        .instagram-likes {\n",
       "            font-weight: bold;\n",
       "            margin-bottom: 8px;\n",
       "        }\n",
       "    </style>\n",
       "    <div class=\"instagram-post\">\n",
       "        <div class=\"instagram-header\">\n",
       "            <img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-T0IWCKnjtaljLEWGSGwBRLNS.png?st=2024-03-27T02%3A49%3A04Z&se=2024-03-27T04%3A49%3A04Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A17%3A54Z&ske=2024-03-27T21%3A17%3A54Z&sks=b&skv=2021-08-06&sig=0ZhuwGWuGtxChTrD8TT/w4A0J89Jg6R4tllQagiTWGk%3D\" alt=\"Profile picture\" class=\"instagram-profile-pic\">\n",
       "            <a href=\"#\" class=\"instagram-screen-name\">NeoNexusApparel</a>\n",
       "        </div>\n",
       "        <img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-8ixUCiuhNYKATJHXAir4LiI4.png?st=2024-03-27T02%3A50%3A52Z&se=2024-03-27T04%3A50%3A52Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A41%3A07Z&ske=2024-03-27T21%3A41%3A07Z&sks=b&skv=2021-08-06&sig=vYWQXBSKNEdU4ojQWevxig0CNnfXBdqUb3OMvg5U5m4%3D\" alt=\"Instagram image\" class=\"instagram-image\">\n",
       "        <div class=\"instagram-caption\">\n",
       "            <a href=\"#\" class=\"instagram-screen-name\">NeoNexusApparel</a> Navigating the neon jungle with an edge that cuts through the din of the ordinary. This is the dress code for the new era—where the streetlights bend to your aura, and style isn't just worn, it's encoded. 🔌✨ Unleash your vibe. #NeoNexusApparel #FutureIsNow\n",
       "        </div>\n",
       "        <div class=\"instagram-footer\">\n",
       "            <div class=\"instagram-likes\">24 likes</div>\n",
       "            <!-- Include other footer content here -->\n",
       "        </div>\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <style>\n",
       "        .instagram-post {\n",
       "            border: 1px solid #e1e1e1;\n",
       "            border-radius: 3px;\n",
       "            width: 600px;\n",
       "            margin: 20px auto;\n",
       "            background-color: white;\n",
       "            font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;\n",
       "        }\n",
       "        .instagram-header {\n",
       "            padding: 14px;\n",
       "            border-bottom: 1px solid #e1e1e1;\n",
       "            display: flex;\n",
       "            align-items: center;\n",
       "        }\n",
       "        .instagram-profile-pic {\n",
       "            border-radius: 50%;\n",
       "            width: 32px;\n",
       "            height: 32px;\n",
       "            margin-right: 10px;\n",
       "        }\n",
       "        .instagram-screen-name {\n",
       "            font-weight: bold;\n",
       "            color: #262626;\n",
       "            text-decoration: none;\n",
       "            font-size: 14px;\n",
       "        }\n",
       "        .instagram-image {\n",
       "            max-width: 600px;\n",
       "            width: auto;\n",
       "            height: auto;\n",
       "            display: block;\n",
       "            margin: auto;\n",
       "        }\n",
       "        .instagram-caption {\n",
       "            padding: 10px;\n",
       "            font-size: 14px;\n",
       "            color: #262626;\n",
       "        }\n",
       "        .instagram-footer {\n",
       "            padding: 10px;\n",
       "            border-top: 1px solid #e1e1e1;\n",
       "        }\n",
       "        .instagram-likes {\n",
       "            font-weight: bold;\n",
       "            margin-bottom: 8px;\n",
       "        }\n",
       "    </style>\n",
       "    <div class=\"instagram-post\">\n",
       "        <div class=\"instagram-header\">\n",
       "            <img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-T0IWCKnjtaljLEWGSGwBRLNS.png?st=2024-03-27T02%3A49%3A04Z&se=2024-03-27T04%3A49%3A04Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A17%3A54Z&ske=2024-03-27T21%3A17%3A54Z&sks=b&skv=2021-08-06&sig=0ZhuwGWuGtxChTrD8TT/w4A0J89Jg6R4tllQagiTWGk%3D\" alt=\"Profile picture\" class=\"instagram-profile-pic\">\n",
       "            <a href=\"#\" class=\"instagram-screen-name\">NeoNexusApparel</a>\n",
       "        </div>\n",
       "        <img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-B6vOQ40Cbpx9XEbu7Tm8hk8Y.png?st=2024-03-27T02%3A51%3A04Z&se=2024-03-27T04%3A51%3A04Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A12%3A54Z&ske=2024-03-27T21%3A12%3A54Z&sks=b&skv=2021-08-06&sig=Awz9zg6EkO7MDU2ib4XB0QSIaA6mZq4tCr8pwdnPYVc%3D\" alt=\"Instagram image\" class=\"instagram-image\">\n",
       "        <div class=\"instagram-caption\">\n",
       "            <a href=\"#\" class=\"instagram-screen-name\">NeoNexusApparel</a> In the neon-drenched skyline, our threads weave the future into now. Vest vibes with a digital pulse and denim dialed into the next dimension—this is the uniform of urban avant-garde. Ascend the chaos in style. ⚡️🏙️ #NeoNexusWave #CityscapeCouture\n",
       "        </div>\n",
       "        <div class=\"instagram-footer\">\n",
       "            <div class=\"instagram-likes\">24 likes</div>\n",
       "            <!-- Include other footer content here -->\n",
       "        </div>\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for index, row in df_content.iterrows():\n",
    "  caption  = row['caption']\n",
    "  image_url = row['image_url']\n",
    "  ig_url = display_IG(caption, image_url, screen_name, profile_image_url)\n",
    "  with open(f\"{screen_name}_{index}.html\", \"w\") as f:\n",
    "    f.write(ig_url)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "yM2oMn4kJE9r",
   "metadata": {
    "id": "yM2oMn4kJE9r"
   },
   "source": [
    "# Create Content and an Instagram Account for a Crypto Influencer\n",
    "\n",
    "We will create an Instragram account for a crypto influencer who posts images related to the daily price movement of the coins.  When the price is up, the sentiment is positive, and when it is down, the sentiment is negative.  We can add sentiment to the image prompt and also generate captions for the image.  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "XDcNAkK9JSST",
   "metadata": {
    "id": "XDcNAkK9JSST"
   },
   "source": [
    "## Account Description\n",
    "\n",
    "Provide a description of the account."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "Nhjv8IxOJKre",
   "metadata": {
    "id": "Nhjv8IxOJKre"
   },
   "outputs": [],
   "source": [
    "account_description = '''An account for Tauhid who is a young\n",
    "South Asian hip nerd that posts crypto\n",
    "market updates'''"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "AyoIWAsxJhyY",
   "metadata": {
    "id": "AyoIWAsxJhyY"
   },
   "source": [
    "## Generate Screen Name and Bio for Account"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "dlNYB-U0JfSX",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "dlNYB-U0JfSX",
    "outputId": "5fe36a98-2cea-4a51-c4ba-0a52d1dafd35"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Screen name: @CryptoCaliph\n",
      "Bio: Decoding the digital goldrush 🚀 | South Asian tech geek with a knack\n",
      "for market trends | Your crypto compass in the digital realm |\n",
      "#BlockchainBeliever\n"
     ]
    }
   ],
   "source": [
    "prompt_screen_name_bio = f'''Come up with a good screen name and bio that\n",
    "sounds cool and not corny for this Instagram account:{account_description}.\n",
    "Return just the screen name and bio as JSON with keys \"screen_name\" and \"bio\".'''\n",
    "\n",
    "response = get_completion(prompt_screen_name_bio, '',client,  MODEL, 'json_object')\n",
    "response_json = ast.literal_eval(response.strip())\n",
    "\n",
    "screen_name = response_json['screen_name']\n",
    "bio = response_json['bio']\n",
    "\n",
    "print(f\"Screen name: @{screen_name}\\nBio: {tr.fill(bio)}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "qPVe0EZuKKmR",
   "metadata": {
    "id": "qPVe0EZuKKmR"
   },
   "source": [
    "## Generate Profile Picture for Account"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "DZqEHSFSKOeJ",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 806
    },
    "id": "DZqEHSFSKOeJ",
    "outputId": "191023ae-a254-4a01-d64e-9b7149cae430"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prompt: \"Create a digital portrait for an Instagram profile picture showcasing\n",
      "a confident South Asian tech geek character who embodies the spirit of\n",
      "cryptocurrency and blockchain technology. The character should appear\n",
      "as a modern-day digital explorer, with elements of traditional South\n",
      "Asian attire and futuristic digital motifs. The background should\n",
      "include abstract representations of crypto market trends, and subtle\n",
      "nods to blockchain elements. The overall vibe should be dynamic,\n",
      "innovative, and imbued with the excitement of the digital goldrush.\"\n",
      "\n",
      "Revised Prompt: Create a detailed digital portrait for a representation of a confident\n",
      "South Asian male technology enthusiast who is deeply involved with\n",
      "cryptocurrency and blockchain technology. Combining elements of\n",
      "tradition and the future, he appears as a modern digital explorer\n",
      "styled with traditional South Asian attire with touches of futuristic\n",
      "digital imageries. Set against a background that abstractly represents\n",
      "fluctuations of the crypto market trends and subtly hinting at\n",
      "blockchain motifs. The overall aesthetics of the image should display\n",
      "a dynamic and innovative feel encapsulating the thrill of the digital\n",
      "goldrush era.\n",
      "\n",
      "https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-Qj1DaekVdUn47XpDZJvcSo7D.png?st=2024-03-27T02%3A52%3A26Z&se=2024-03-27T04%3A52%3A26Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A28%3A47Z&ske=2024-03-27T21%3A28%3A47Z&sks=b&skv=2021-08-06&sig=s1Wyx3vulVD7fnSz9TQlF5ktnMrDPRnlFsYVydT3Y98%3D\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-Qj1DaekVdUn47XpDZJvcSo7D.png?st=2024-03-27T02%3A52%3A26Z&se=2024-03-27T04%3A52%3A26Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A28%3A47Z&ske=2024-03-27T21%3A28%3A47Z&sks=b&skv=2021-08-06&sig=s1Wyx3vulVD7fnSz9TQlF5ktnMrDPRnlFsYVydT3Y98%3D\" width=\"400\" height=\"400\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prompt_profile_pic = f'''Write a DALLE-3 Prompt for the Instagram profile\n",
    "                        pic for this account and return only the prompt:\n",
    "                        @{screen_name}\\n{bio}'''\n",
    "\n",
    "prompt = get_completion(prompt_profile_pic, '',client,  MODEL)\n",
    "profile_image_url, revised_prompt = generate_image(prompt)\n",
    "\n",
    "print(f\"Prompt: {tr.fill(prompt)}\\n\")\n",
    "print(f\"Revised Prompt: {tr.fill(revised_prompt)}\\n\")\n",
    "print(profile_image_url)\n",
    "display(Image(url=profile_image_url, width=400, height=400))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "PmJF1uMrSaGB",
   "metadata": {
    "id": "PmJF1uMrSaGB"
   },
   "source": [
    "## Generte an Image with Midjourney (Optional)\n",
    "\n",
    "If you have Midjourney you can try making the image with that tool.  You have to go to Discord to use Midjourney: https://discord.com/invite/midjourney"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "xkk9hzUrSO0J",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 422
    },
    "id": "xkk9hzUrSO0J",
    "outputId": "ca485db2-d0db-49d5-ffa1-e1d63e38e387"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img src=\"https://cdn.midjourney.com/cb093774-d5ba-49ef-af53-0f6a8fde76eb/0_1.webp\" width=\"400\" height=\"400\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "image_url_midjourney = 'https://cdn.midjourney.com/cb093774-d5ba-49ef-af53-0f6a8fde76eb/0_1.webp'\n",
    "display(Image(url=image_url_midjourney, width=400, height=400))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "x4hjKjz0Jldv",
   "metadata": {
    "id": "x4hjKjz0Jldv"
   },
   "source": [
    "## Download Price Data\n",
    "\n",
    "The CoinGecko API lets us download information about cryptocurrencies.  We will save this to a dataframe `df_top_coins`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "GO-kMwHsJolS",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "GO-kMwHsJolS",
    "outputId": "855cdc31-59d0-412d-853e-24afc7a31059"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"df_top_coins[cols]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Ethereum\",\n          \"Solana\",\n          \"Tether\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"symbol\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"eth\",\n          \"sol\",\n          \"usdt\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"current_price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31001.430348677368,\n        \"min\": 0.999344,\n        \"max\": 70339.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          3607.78,\n          189.99,\n          0.999344\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"price_change_percentage_24h\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.6418689040061062,\n        \"min\": -1.75285,\n        \"max\": -0.05002,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          -0.77273,\n          -0.91941,\n          -0.05002\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-6869bb17-e6f7-492f-ae7c-a3ae83888551\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>symbol</th>\n",
       "      <th>current_price</th>\n",
       "      <th>price_change_percentage_24h</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>btc</td>\n",
       "      <td>70339.000000</td>\n",
       "      <td>-0.39372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>eth</td>\n",
       "      <td>3607.780000</td>\n",
       "      <td>-0.77273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tether</td>\n",
       "      <td>usdt</td>\n",
       "      <td>0.999344</td>\n",
       "      <td>-0.05002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BNB</td>\n",
       "      <td>bnb</td>\n",
       "      <td>582.080000</td>\n",
       "      <td>-1.75285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Solana</td>\n",
       "      <td>sol</td>\n",
       "      <td>189.990000</td>\n",
       "      <td>-0.91941</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6869bb17-e6f7-492f-ae7c-a3ae83888551')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
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       "\n",
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      ],
      "text/plain": [
       "       name symbol  current_price  price_change_percentage_24h\n",
       "0   Bitcoin    btc   70339.000000                     -0.39372\n",
       "1  Ethereum    eth    3607.780000                     -0.77273\n",
       "2    Tether   usdt       0.999344                     -0.05002\n",
       "3       BNB    bnb     582.080000                     -1.75285\n",
       "4    Solana    sol     189.990000                     -0.91941"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Initialize CoinGecko API client\n",
    "cg = CoinGeckoAPI()\n",
    "\n",
    "# Get the current top 10 cryptocurrencies by market cap\n",
    "top_coins = cg.get_coins_markets(vs_currency='usd',\n",
    "                                 order='market_cap_desc',\n",
    "                                 per_page=100,\n",
    "                                 page=1)\n",
    "\n",
    "# Convert the data to a DataFrame\n",
    "df_top_coins = pd.DataFrame(top_coins)\n",
    "cols = ['name', 'symbol','current_price','price_change_percentage_24h']\n",
    "df_top_coins[cols].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "TKUXCJNQJq-Z",
   "metadata": {
    "id": "TKUXCJNQJq-Z"
   },
   "source": [
    "## Create Sentiment Specific Image and Content\n",
    "\n",
    "We will go through each coin, look at the sign of the 24 hour price change, and used this to determine the `sentiment` (`\"positive\"` or `\"negative\"`).  Then we will generate the image and a caption for the image based on a simple image prompt `prompt_img`.  \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "Hk6ZuWU1JtZF",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "Hk6ZuWU1JtZF",
    "outputId": "13918b94-8b99-4f7b-d016-86070bf81b2c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bitcoin: 24 hour price change = -0.4%\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <style>\n",
       "        .instagram-post {\n",
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       "            padding: 10px;\n",
       "            border-top: 1px solid #e1e1e1;\n",
       "        }\n",
       "        .instagram-likes {\n",
       "            font-weight: bold;\n",
       "            margin-bottom: 8px;\n",
       "        }\n",
       "    </style>\n",
       "    <div class=\"instagram-post\">\n",
       "        <div class=\"instagram-header\">\n",
       "            <img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-Qj1DaekVdUn47XpDZJvcSo7D.png?st=2024-03-27T02%3A52%3A26Z&se=2024-03-27T04%3A52%3A26Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A28%3A47Z&ske=2024-03-27T21%3A28%3A47Z&sks=b&skv=2021-08-06&sig=s1Wyx3vulVD7fnSz9TQlF5ktnMrDPRnlFsYVydT3Y98%3D\" alt=\"Profile picture\" class=\"instagram-profile-pic\">\n",
       "            <a href=\"#\" class=\"instagram-screen-name\">CryptoCaliph</a>\n",
       "        </div>\n",
       "        <img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-BcKVUJx7EcIaQAnMZKQXw7cP.png?st=2024-03-27T02%3A53%3A03Z&se=2024-03-27T04%3A53%3A03Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A10%3A20Z&ske=2024-03-27T21%3A10%3A20Z&sks=b&skv=2021-08-06&sig=gakrDTgmVfLe%2B5Rf1WAl2EG9UQku4gb/7uU%2BHIWO1C0%3D\" alt=\"Instagram image\" class=\"instagram-image\">\n",
       "        <div class=\"instagram-caption\">\n",
       "            <a href=\"#\" class=\"instagram-screen-name\">CryptoCaliph</a> \"When your portfolio gives you a bear hug 🐻📉. Stay calm and HODL on! #Bitcoin #RollercoasterEconomy #CryptoWinter\"\n",
       "        </div>\n",
       "        <div class=\"instagram-footer\">\n",
       "            <div class=\"instagram-likes\">24 likes</div>\n",
       "            <!-- Include other footer content here -->\n",
       "        </div>\n",
       "    </div>\n",
       "    "
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     "text": [
      "Dogecoin: 24 hour price change = 3.6%\n"
     ]
    },
    {
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       "            background-color: white;\n",
       "            font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;\n",
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       "        }\n",
       "    </style>\n",
       "    <div class=\"instagram-post\">\n",
       "        <div class=\"instagram-header\">\n",
       "            <img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-Qj1DaekVdUn47XpDZJvcSo7D.png?st=2024-03-27T02%3A52%3A26Z&se=2024-03-27T04%3A52%3A26Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A28%3A47Z&ske=2024-03-27T21%3A28%3A47Z&sks=b&skv=2021-08-06&sig=s1Wyx3vulVD7fnSz9TQlF5ktnMrDPRnlFsYVydT3Y98%3D\" alt=\"Profile picture\" class=\"instagram-profile-pic\">\n",
       "            <a href=\"#\" class=\"instagram-screen-name\">CryptoCaliph</a>\n",
       "        </div>\n",
       "        <img src=\"https://oaidalleapiprodscus.blob.core.windows.net/private/org-zrRGnR9FWbvUcS3XEz3mQZCr/user-l84oQyDEGesRPUmssaSpPuwX/img-2Ki1eaoY8U6jbc5jv3UEJiHl.png?st=2024-03-27T02%3A53%3A16Z&se=2024-03-27T04%3A53%3A16Z&sp=r&sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-03-26T21%3A07%3A10Z&ske=2024-03-27T21%3A07%3A10Z&sks=b&skv=2021-08-06&sig=OfLA%2BCNJ7xZiUGeWVOc%2BNR85gswqJSWk9HgpE92JJTg%3D\" alt=\"Instagram image\" class=\"instagram-image\">\n",
       "        <div class=\"instagram-caption\">\n",
       "            <a href=\"#\" class=\"instagram-screen-name\">CryptoCaliph</a> \"Riding the Doge wave to the moon! 🚀✨ With pawsitivity glowing and charts agreeing, this Shiba's not just barking -- it's leading the crypto pack! 🐕💰 #Dogecoin #ToTheMoon #CryptoCraze 🌕\"\n",
       "        </div>\n",
       "        <div class=\"instagram-footer\">\n",
       "            <div class=\"instagram-likes\">24 likes</div>\n",
       "            <!-- Include other footer content here -->\n",
       "        </div>\n",
       "    </div>\n",
       "    "
      ],
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       "<IPython.core.display.HTML object>"
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   ],
   "source": [
    "#cryptocurrency symbols\n",
    "symbols = ['btc','doge']\n",
    "\n",
    "for symbol in symbols:\n",
    "  row = df_top_coins[df_top_coins['symbol'] == symbol].iloc[0]\n",
    "  returns = row['price_change_percentage_24h']\n",
    "  coin = row['name']\n",
    "  print(f\"{coin}: 24 hour price change = {returns:.1f}%\")\n",
    "\n",
    "  if returns > 0:\n",
    "    sentiment = 'positive'\n",
    "  else:\n",
    "    sentiment = 'negative'\n",
    "\n",
    "  prompt_img = f'''A photo of {coin} with a {sentiment} sentiment.'''\n",
    "  image_url, revised_prompt = generate_image(prompt_img)\n",
    "\n",
    "  prompt_caption = f'''Write an engaging and clever Instagram caption\n",
    "                      for the cryptocurrency {coin} with this image description\n",
    "                      and mention the coin: {revised_prompt}'''\n",
    "\n",
    "  caption = get_completion(prompt_caption, '',client, MODEL)\n",
    "\n",
    "  display_IG(caption, image_url, screen_name, profile_image_url)\n",
    "  with open(f\"{screen_name}_{symbol}_{sentiment}.html\", \"w\") as f:\n",
    "      f.write(ig_url)"
   ]
  }
 ],
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