ajout d examples

app.ipynb

@@ -158,7 +158,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 16,
    "id": "8f085556-cafc-4f00-8e63-d9028ab6bb41",
    "metadata": {},
    "outputs": [
@@ -180,7 +180,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7860\n",
+      "Running on local URL:  http://127.0.0.1:7862\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -188,33 +188,13 @@
     {
      "data": {
       "text/plain": [
-       "(<gradio.routes.App at 0x7f37f1a842e0>, 'http://127.0.0.1:7860/', None)"
+       "(<gradio.routes.App at 0x7f37f1ee8d00>, 'http://127.0.0.1:7862/', None)"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     },
-    {
-     "data": {
-      "text/html": [],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "text/html": [],
@@ -230,7 +210,8 @@
     "#|export\n",
     "image = gr.inputs.Image(shape=(192, 192))\n",
     "label = gr.outputs.Label()\n",
-    "examples = ['cheese époisse.jpg', 'cheese camembert.jpg', 'cheese saint-nectaire.jpg']\n",
+    "examples = ['cheese époisse.jpg', 'cheese camembert.jpg', 'cheese saint-nectaire.jpg', 'cheese raclette.jpg', \n",
+    "            'cheese roquefort.jpg', 'cheese brocciu.jpg', 'cheese comté.jpg', \"cheese mont d'or.jpg\", 'cheese reblochon.webp', 'cheese brie.jpg']\n",
     "\n",
     "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
     "intf.launch(inline=False)"
@@ -241,12 +222,12 @@
    "id": "9ba2ef1c-586c-40ea-9330-f49edd58aefa",
    "metadata": {},
    "source": [
-    "## end -"
+    "## export"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 17,
    "id": "0eb8bb14-208c-4fd5-bcd8-afef72993d7a",
    "metadata": {},
    "outputs": [],
@@ -257,7 +238,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "bd182dad-2551-4c24-8eb5-ed016b3e5e25",
+   "id": "04a8c5bf-3a06-404a-8f06-d12791d4c493",
    "metadata": {},
    "outputs": [],
    "source": []

app.py

@@ -22,7 +22,8 @@ def classify_image(img):
 # %% app.ipynb 8
 image = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()
-examples = ['cheese époisse.jpg', 'cheese camembert.jpg', 'cheese saint-nectaire.jpg']
+examples = ['cheese époisse.jpg', 'cheese camembert.jpg', 'cheese saint-nectaire.jpg', 'cheese raclette.jpg', 
+            'cheese roquefort.jpg', 'cheese brocciu.jpg', 'cheese comté.jpg', "cheese mont d'or.jpg", 'cheese reblochon.webp', 'cheese brie.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch(inline=False)