updated

app.ipynb

@@ -1,15 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "title = \"Pet Breed Classifier\"\n",
-    "description = \"A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace spaces.\""
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -267,6 +257,8 @@
     "#/export\n",
     "image = gr.inputs.Image(shape=(192,192))\n",
     "label = gr.outputs.Label()\n",
+    "title = \"Pet Breed Classifier\"\n",
+    "description = \"A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace spaces.\"\n",
     "examples = ['dog.jpeg','cat.jpeg', 'dunno.jpeg']\n",
     "\n",
     "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label,examples=examples)\n",