Remove redundant files

notebook/agentchat_lmm_gpt-4v.ipynb

@@ -91,7 +91,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "0b7fc18e",
+   "id": "6868785c",
    "metadata": {},
    "outputs": [
     {
@@ -335,7 +335,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "977b9017",
    "metadata": {
     "scrolled": false
@@ -664,7 +664,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "f0a58827",
    "metadata": {},
    "outputs": [],
@@ -691,7 +691,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "56bd5742",
    "metadata": {
     "scrolled": false
@@ -773,15 +773,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "id": "0fe6917a",
+   "execution_count": 10,
+   "id": "00bd473d",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "defaultdict(list,\n",
-       "            {<autogen.agentchat.groupchat.GroupChatManager at 0x7f7a2040dd00>: [{'content': [{'type': 'text',\n",
+       "            {<autogen.agentchat.groupchat.GroupChatManager at 0x7f690545b820>: [{'content': [{'type': 'text',\n",
        "                 'text': 'Describe the image:\\n                        '},\n",
        "                {'type': 'image_url',\n",
        "                 'image_url': {'url': <PIL.Image.Image image mode=RGB size=1920x1080>}},\n",
@@ -802,7 +802,7 @@
        "               'role': 'user'}]})"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -814,87 +814,10 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "04115031",
+   "id": "39d293fb",
    "metadata": {},
    "outputs": [],
    "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "b71c029f",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "b'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00\\x00\\rIHDR\\x00\\x00\\x00\\x05\\x00\\x00\\x00\\x05\\x08\\x06\\x00\\x00\\x00\\x8do&\\xe5\\x00\\x00\\x00\\x1cIDAT\\x08\\xd7c\\xf8\\xff\\xff?\\xc3\\x7f\\x06 \\x05\\xc3 \\x12\\x84\\xd01\\xf1\\x82X\\xcd\\x04\\x00\\x0e\\xf55\\xcb\\xd1\\x8e\\x0e\\x1f\\x00\\x00\\x00\\x00IEND\\xaeB`\\x82'\n",
-      "b'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00\\x00\\rIHDR\\x00\\x00\\x00\\x05\\x00\\x00\\x00\\x05\\x08\\x06\\x00\\x00\\x00\\x8do&\\xe5\\x00\\x00\\x00&IDATx\\x9c}\\xc81\\x12\\x00\\x10\\x00\\xc0\\xb0\\xd6\\xff\\xff\\\\\\x0b\\xe7\\x18d\\x8c\\x15hl\\xa5\\xc1\\x89e\\xbc\\xf1\\xc9\\xf2\\x9ar\\x02\\x10k\\x0c\\x02\\xf3\\x0f\\xba=\\x00\\x00\\x00\\x00IEND\\xaeB`\\x82'\n"
-     ]
-    },
-    {
-     "ename": "AssertionError",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[18], line 27\u001b[0m\n\u001b[1;32m     24\u001b[0m \u001b[38;5;28mprint\u001b[39m(image_data)\n\u001b[1;32m     25\u001b[0m \u001b[38;5;28mprint\u001b[39m(recovered_content)\n\u001b[0;32m---> 27\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m  image_data \u001b[38;5;241m==\u001b[39m recovered_content\n",
-      "\u001b[0;31mAssertionError\u001b[0m: "
-     ]
-    }
-   ],
-   "source": [
-    "import base64\n",
-    "import copy\n",
-    "import mimetypes\n",
-    "import re\n",
-    "from io import BytesIO\n",
-    "from typing import Any, Dict, List, Optional, Tuple, Union\n",
-    "\n",
-    "import requests\n",
-    "from PIL import Image\n",
-    "\n",
-    "\n",
-    "raw_encoded_image = (\n",
-    "    \"iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAAHElEQVQI12P4\"\n",
-    "    \"//8/w38GIAXDIBKE0DHxgljNBAAO9TXL0Y4OHwAAAABJRU5ErkJggg==\"\n",
-    ")\n",
-    "image_data = base64.b64decode(raw_encoded_image)\n",
-    "image = Image.open(BytesIO(image_data))\n",
-    "\n",
-    "\n",
-    "buffered = BytesIO()\n",
-    "image.save(buffered, format=\"PNG\")\n",
-    "recovered_content = buffered.getvalue()\n",
-    "\n",
-    "print(image_data)\n",
-    "print(recovered_content)\n",
-    "\n",
-    "assert  image_data == recovered_content"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "ff4701db",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "b'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00\\x00\\rIHDR\\x00\\x00\\x00\\x05\\x00\\x00\\x00\\x05\\x08\\x06\\x00\\x00\\x00\\x8do&\\xe5\\x00\\x00\\x00\\x1cIDAT\\x08\\xd7c\\xf8\\xff\\xff?\\xc3\\x7f\\x06 \\x05\\xc3 \\x12\\x84\\xd01\\xf1\\x82X\\xcd\\x04\\x00\\x0e\\xf55\\xcb\\xd1\\x8e\\x0e\\x1f\\x00\\x00\\x00\\x00IEND\\xaeB`\\x82'"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "image_data"
-   ]
   }
  ],
  "metadata": {