diff --git a/examples/va_example.ipynb b/examples/va_example.ipynb
index 2bddca05..1f52caef 100644
--- a/examples/va_example.ipynb
+++ b/examples/va_example.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10,6 +10,7 @@
     "import pandas as pd\n",
     "import textwrap\n",
     "import json\n",
+    "import os\n",
     "from IPython.display import Image\n",
     "from PIL import Image"
    ]
@@ -393,7 +394,7 @@
     }
    ],
    "source": [
-    "ans = t(prompt=\"shoes\", image=\"/home/shankar/workspace/img/shoes.jpg\", box_threshold=0.30, iou_threshold=0.2)\n",
+    "ans = t(prompt=\"shoes\", image=\"shoes.jpg\", box_threshold=0.30, iou_threshold=0.2)\n",
     "len(ans[\"labels\"])"
    ]
   },
@@ -465,7 +466,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ans = t1(prompt=\"bird\", image=\"/home/shankar/workspace/img/birds.jpg\", box_threshold=0.40, iou_threshold=0.2)"
+    "ans = t1(prompt=\"bird\", image=\"birds.jpg\", box_threshold=0.40, iou_threshold=0.2)"
    ]
   },
   {
@@ -543,59 +544,52 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "t2 = va.tools.CLIP()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'labels': ['crow', ' cheetah'], 'scores': [0.9999, 0.0001]}"
+       "{'labels': [], 'bboxes': [], 'masks': [], 'scores': []}"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "t2(prompt=\"crow, cheetah\", image=\"/home/shankar/workspace/img/birds.jpg\",)"
+    "t1(prompt=\"bird\", image=\"shoes.jpg\",)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "t2 = va.tools.CLIP()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'labels': [], 'bboxes': [], 'masks': [], 'scores': []}"
+       "{'labels': ['crow', ' cheetah'], 'scores': [0.9999, 0.0001]}"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "t1(prompt=\"bird\", image=\"/home/shankar/workspace/img/shoes.jpg\",)"
+    "t2(prompt=\"crow, cheetah\", image=\"birds.jpg\",)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {