add more examples

Create Embedding Pickle.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 10,
    "id": "ab9c916b",
    "metadata": {},
    "outputs": [],
@@ -39,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 11,
    "id": "b5007694",
    "metadata": {
     "scrolled": true
@@ -492,14 +492,14 @@
       "nvprod4170013v.jpg\n",
       "nvprod4440003v.jpg\n",
       "nvprod4300026v.jpg\n",
-      "nvprod4090060v.jpg\n",
-      "nvprod4380035v.jpg\n"
+      "nvprod4090060v.jpg\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "nvprod4380035v.jpg\n",
       "nvprod2400039v.jpg\n",
       "nvprod4160156v.jpg\n",
       "nvprod3940116v.jpg\n",
@@ -1402,14 +1402,14 @@
       "nvprod2680198v.jpg\n",
       "nvprod4330245v.jpg\n",
       "000257.jpg\n",
-      "nvprod3600065v.jpg\n",
-      "nvprod4350278v.jpg\n"
+      "nvprod3600065v.jpg\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "nvprod4350278v.jpg\n",
       "nvprod4260056v.jpg\n",
       "nvprod4380160v.jpg\n",
       "nvprod1600151v.jpg\n",
@@ -1853,17 +1853,17 @@
       "nvprod800008v.jpg\n",
       "nvprod4250084v.jpg\n",
       "nvprod4440027v.jpg\n",
-      "nvprod4240084v.jpg\n",
-      "nvprod1000083v.jpg\n",
-      "nvprod4090044v.jpg\n",
-      "nvprod4380011v.jpg\n",
-      "001341.jpg\n"
+      "nvprod4240084v.jpg\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "nvprod1000083v.jpg\n",
+      "nvprod4090044v.jpg\n",
+      "nvprod4380011v.jpg\n",
+      "001341.jpg\n",
       "nvprod3940098v.jpg\n",
       "nvprod4430149v.jpg\n",
       "nvprod4340020v.jpg\n",
@@ -2310,18 +2310,18 @@
       "nvprod3570136v.jpg\n",
       "nvprod380011v.jpg\n",
       "nvprod4160092v.jpg\n",
-      "nvprod3950601v.jpg\n",
-      "nvprod4020014v.jpg\n",
-      "nvprod4510004v.jpg\n",
-      "nvprod4430103v.jpg\n",
-      "nvprod4280010v.jpg\n",
-      "nvprod4210003v.jpg\n"
+      "nvprod3950601v.jpg\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "nvprod4020014v.jpg\n",
+      "nvprod4510004v.jpg\n",
+      "nvprod4430103v.jpg\n",
+      "nvprod4280010v.jpg\n",
+      "nvprod4210003v.jpg\n",
       "nvprod4110056v.jpg\n",
       "nvprod3740121v.jpg\n",
       "nvprod710115v.jpg\n",
@@ -2764,18 +2764,18 @@
       "nvprod4010010v.jpg\n",
       "nvprod4320109v.jpg\n",
       "nvprod4020019v.jpg\n",
-      "nvprod4080003v.jpg\n",
-      "nvprod3210052v.jpg\n",
-      "nvprod4350067v.jpg\n",
-      "nvprod3940030v.jpg\n",
-      "nvprod590729v.jpg\n",
-      "nvprod4350088v.jpg\n"
+      "nvprod4080003v.jpg\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "nvprod3210052v.jpg\n",
+      "nvprod4350067v.jpg\n",
+      "nvprod3940030v.jpg\n",
+      "nvprod590729v.jpg\n",
+      "nvprod4350088v.jpg\n",
       "nvprod4350122v.jpg\n",
       "015591.jpg\n",
       "nvprod660206v.jpg\n",
@@ -2842,23 +2842,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 13,
    "id": "7af97c83",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'nvprod2400042v'"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "file[:-4]"
+    "import json\n",
+    "limit = 100\n",
+    "with open(\"lv.json\", \"w\") as f:\n",
+    "    enc_list = np.concatenate(encodings).tolist()\n",
+    "    json.dump({\"files\" : files[:limit], \"encodings\" : enc_list[:limit]}, f)"
    ]
   },
   {

app.py

@@ -72,6 +72,9 @@ iface = gr.Interface(
             label="Generated images", show_label=False, elem_id="gallery"
         ).style(grid=[2], height="auto")]
     ,examples=[
+        [("Vacation Star")],
+        [("Rock Star")],
+        [("Barbie")],
         [("Small Purse")],
         [("Big Bag")],
         ]