update notebook to include proper paths for sample data

ammico/notebooks/DemoNotebook_ammico_MultimodalSearch.ipynb

@@ -174,7 +174,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "To process the loaded images using the selected model, use the below code:"
+    "To process the loaded images using the selected model, use the below code and substitute the path to your images:"
    ]
   },
   {
@@ -184,7 +184,7 @@
    "outputs": [],
    "source": [
     "image_dict = ammico.find_files(\n",
-    "    path = \"../../../test-images-politicians\",\n",
+    "    path = data_path,\n",
     ")"
    ]
   },
@@ -221,7 +221,7 @@
     "    features_image_stacked,\n",
     ") = my_obj.parsing_images(\n",
     "    model_type, \n",
-    "    path_to_save_tensors=\"../../../test-images-politicians\",\n",
+    "    path_to_save_tensors=data_path,\n",
     "    )"
    ]
   },
@@ -277,10 +277,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "image_example_query = \"../../../test-images-politicians/5e4c7722-d620-42ab-915e-9b1a048e2992Original.jpg\"  \n",
+    "image_example_query = data_path / \"img0.png\"  \n",
     "\n",
     "search_query = [\n",
-    "    {\"image\": image_example_query},      # This is how looks image query, here `image_example_path` is the path to query image like \"data/test-crop-image.png\"\n",
+    "    {\"image\": str(image_example_query)},      # This is how looks image query, here `image_example_path` is the path to query image like \"data/test-crop-image.png\"\n",
     "]"
    ]
   },
@@ -388,12 +388,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "image_example_query = \"../../../test-images-politicians/5e4c7722-d620-42ab-915e-9b1a048e2992Original.jpg\"  # creating the path to the image for the image query example\n",
-    "image_example_query2 = \"../../../test-images-politicians/service-pnp-ppbd-00600-00608_150px.jpg\"\n",
+    "image_example_query = data_path / \"img0.png\"  # creating the path to the image for the image query example\n",
+    "image_example_query2 = data_path / \"img1.png\"\n",
     "\n",
     "search_query = [\n",
-    "    {\"image\": image_example_query},      # This is how looks image query, here `image_example_path` is the path to query image like \"data/test-crop-image.png\"\n",
-    "    {\"image\": image_example_query2},\n",
+    "    {\"image\": str(image_example_query)},      # This is how looks image query, here `image_example_path` is the path to query image like \"data/test-crop-image.png\"\n",
+    "    {\"image\": str(image_example_query2)},\n",
     "]"
    ]
   },
@@ -464,7 +464,7 @@
    "source": [
     "# convert to dataframe\n",
     "df = ammico.get_dataframe(image_dict)\n",
-    "df"
+    "df.head(10)"
    ]
   },
   {
@@ -474,13 +474,20 @@
    "outputs": [],
    "source": [
     "# save to csv\n",
-    "df.to_csv(\"../../../test-images-politicians/data_out.csv\")"
+    "df.to_csv(data_path / \"data_out.csv\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "ammico",
    "language": "python",
    "name": "python3"
   },
@@ -494,7 +501,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.21"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,