move things around, remove unused code

examples/notebooks/TextGrad-Vision-MathVista.ipynb

@@ -1,30 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "6e5bfa16-5124-452c-bc56-3427e453751a",
-   "metadata": {
-    "vscode": {
-     "languageId": "shellscript"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The autoreload extension is already loaded. To reload it, use:\n",
-      "  %reload_ext autoreload\n"
-     ]
-    }
-   ],
-   "source": [
-    "%load_ext autoreload\n",
-    "\n",
-    "%autoreload 2"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 21,
@@ -39,28 +14,7 @@
     "# Some utils to read images\n",
     "\n",
     "import io\n",
-    "from PIL import Image\n",
-    "\n",
-    "def encode_image(image):\n",
-    "    # Convert RGBA to RGB if necessary\n",
-    "    if image.mode == 'RGBA':\n",
-    "        # Create a new image with a white background\n",
-    "        background = Image.new('RGB', image.size, (255, 255, 255))\n",
-    "        # Paste the image on the background.\n",
-    "        background.paste(image, (0, 0), image)\n",
-    "        image = background\n",
-    "\n",
-    "    # Create a BytesIO object\n",
-    "    buffered = io.BytesIO()\n",
-    "\n",
-    "    # Save your image object to this BytesIO object (in JPEG format)\n",
-    "    image.save(buffered, format=\"JPEG\")\n",
-    "\n",
-    "    # Get the byte data from the BytesIO object\n",
-    "    image_byte_data = buffered.getvalue()\n",
-    "\n",
-    "    # Encode this byte data in base64 and return the string\n",
-    "    return image_byte_data"
+    "from PIL import Image"
    ]
   },
   {
@@ -76,8 +30,7 @@
    "source": [
     "import textgrad as tg\n",
     "from textgrad import get_engine\n",
-    "from textgrad.utils.image_utils import download_and_cache_image\n",
-    "from textgrad.autograd import OrderedFieldsMultimodalLLMCall, MultimodalLLMCall\n",
+    "from textgrad.autograd import MultimodalLLMCall\n",
     "from textgrad.loss import ImageQALoss"
    ]
   },
@@ -96,10 +49,7 @@
     "\n",
     "# Assuming the OpenAI API key is stored in an environment variable named 'OPENAI_API_KEY'\n",
     "openai_api_key = os.getenv('OPENAI_API_KEY')\n",
-    "assert openai_api_key is not None and len(openai_api_key) > 0, \"Please set the OPENAI_API_KEY environment variable\"\n",
-    "\n",
-    "# Print the OpenAI API key\n",
-    "# print(openai_api_key)"
+    "assert openai_api_key is not None and len(openai_api_key) > 0, \"Please set the OPENAI_API_KEY environment variable\""
    ]
   },
   {
@@ -113,13 +63,6 @@
    },
    "outputs": [],
    "source": [
-    "from dotenv import load_dotenv\n",
-    "load_dotenv(override=True)\n",
-    "\n",
-    "# Claude Model\n",
-    "# tg.set_backward_engine(\"claude-3-haiku-20240307\", override=True)\n",
-    "\n",
-    "# GP4-o Model\n",
     "tg.set_backward_engine(\"gpt-4o\", override=True)"
    ]
   },
@@ -159,7 +102,7 @@
     "import httpx\n",
     "\n",
     "# Path to the local image\n",
-    "image_path = \"../mathvista/176.png\"\n",
+    "image_path = \".assets/176.png\"\n",
     "\n",
     "# Read the local image file in binary mode\n",
     "with open(image_path, 'rb') as file:\n",