diff --git a/azureml/cxrreportgen/simplified_end_to_end_demo.ipynb b/azureml/cxrreportgen/simplified_end_to_end_demo.ipynb
new file mode 100644
index 0000000..66fe612
--- /dev/null
+++ b/azureml/cxrreportgen/simplified_end_to_end_demo.ipynb
@@ -0,0 +1,114 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "71149c27",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import os\n",
+    "from pathlib import Path\n",
+    "from dotenv import load_dotenv\n",
+    "load_dotenv()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ca666a25",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Files in cxrreportgen-images:\n",
+      "pathology_breast.png\n"
+     ]
+    },
+    {
+     "ename": "FileNotFoundError",
+     "evalue": "[Errno 2] No such file or directory: 'C:\\\\Users\\\\User\\\\healthcareai-examples\\\\data\\\\healthcare-ai\\\\cxrreportgen-images\\\\00000001_000.png'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mFileNotFoundError\u001b[39m                         Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[7]\u001b[39m\u001b[32m, line 19\u001b[39m\n\u001b[32m     16\u001b[39m sample_path = cxr_folder / sample_filename\n\u001b[32m     18\u001b[39m \u001b[38;5;66;03m# Load & show\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m19\u001b[39m img = \u001b[43mImage\u001b[49m\u001b[43m.\u001b[49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43msample_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m     20\u001b[39m plt.figure(figsize=(\u001b[32m10\u001b[39m, \u001b[32m10\u001b[39m))\n\u001b[32m     21\u001b[39m plt.imshow(img, cmap=\u001b[33m\"\u001b[39m\u001b[33mgray\u001b[39m\u001b[33m\"\u001b[39m)\n",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python312\\Lib\\site-packages\\PIL\\Image.py:3513\u001b[39m, in \u001b[36mopen\u001b[39m\u001b[34m(fp, mode, formats)\u001b[39m\n\u001b[32m   3511\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m is_path(fp):\n\u001b[32m   3512\u001b[39m     filename = os.fspath(fp)\n\u001b[32m-> \u001b[39m\u001b[32m3513\u001b[39m     fp = \u001b[43mbuiltins\u001b[49m\u001b[43m.\u001b[49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mrb\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m   3514\u001b[39m     exclusive_fp = \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[32m   3515\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n",
+      "\u001b[31mFileNotFoundError\u001b[39m: [Errno 2] No such file or directory: 'C:\\\\Users\\\\User\\\\healthcareai-examples\\\\data\\\\healthcare-ai\\\\cxrreportgen-images\\\\00000001_000.png'"
+     ]
+    }
+   ],
+   "source": [
+    "from pathlib import Path\n",
+    "import matplotlib.pyplot as plt\n",
+    "from PIL import Image\n",
+    "\n",
+    "# Your exact full path on Windows\n",
+    "cxr_folder = Path(r\"C:\\Users\\User\\healthcareai-examples\\data\\healthcare-ai\\cxrreportgen-images\")\n",
+    "\n",
+    "# List all files to confirm what's there\n",
+    "print(\"Files in cxrreportgen-images folder:\")\n",
+    "for file in cxr_folder.iterdir():\n",
+    "    if file.is_file():\n",
+    "        print(file.name)\n",
+    "\n",
+    "# Available real files: cxr_frontal.jpg and cxr_lateral.jpg (plus possibly pathology_breast.png)\n",
+    "\n",
+    "# Pick the frontal chest X-ray (main sample for report generation)\n",
+    "sample_filename = \"cxr_frontal.jpg\"  # This definitely exists\n",
+    "\n",
+    "sample_path = cxr_folder / sample_filename\n",
+    "\n",
+    "# Load and display the image\n",
+    "img = Image.open(sample_path)\n",
+    "\n",
+    "plt.figure(figsize=(10, 10))\n",
+    "plt.imshow(img, cmap=\"gray\")  # 'gray' for medical X-ray look\n",
+    "plt.title(\"Sample Chest X-ray (Frontal View) for CXRReportGen Demo\")\n",
+    "plt.axis(\"off\")\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}