diff --git a/02_production.ipynb b/02_production.ipynb
index 245f469..f32e51c 100644
--- a/02_production.ipynb
+++ b/02_production.ipynb
@@ -2,9 +2,18 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "'[' is not recognized as an internal or external command,\n",
+      "operable program or batch file.\n"
+     ]
+    }
+   ],
    "source": [
     "#hide\n",
     "! [ -e /content ] && pip install -Uqq fastbook\n",
@@ -14,7 +23,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -331,7 +340,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -340,7 +349,7 @@
        "<function fastbook.search_images_bing(key, term, min_sz=128, max_images=150)>"
       ]
      },
-     "execution_count": null,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -349,6 +358,56 @@
     "search_images_bing"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### If you face issues while using the Azure Bing Image Search Service, Simply use the api function for image search which uses the  duckduckgo search engine. \n",
+    "\n",
+    "This service is  free and usable simply by using the *search_images_ddg* function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<function fastbook.search_images_ddg(term, max_images=200)>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "search_images_ddg"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "150"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results = search_images_ddg('black bear',max_images=150)\n",
+    "len(results)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -2004,9 +2063,21 @@
    "split_at_heading": true
   },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.4"
   }
  },
  "nbformat": 4,