Cell outputs.

app.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "outputs": [],
    "source": [
     "#|default_exp app"
@@ -26,18 +26,7 @@
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/salmannaqvi/lib/python3.10/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: dlopen(/Users/salmannaqvi/lib/python3.10/site-packages/torchvision/image.so, 0x0006): Symbol not found: (__ZN2at4_ops19empty_memory_format4callEN3c108ArrayRefINS2_6SymIntEEENS2_8optionalINS2_10ScalarTypeEEENS6_INS2_6LayoutEEENS6_INS2_6DeviceEEENS6_IbEENS6_INS2_12MemoryFormatEEE)\n",
-      "  Referenced from: '/Users/salmannaqvi/lib/python3.10/site-packages/torchvision/image.so'\n",
-      "  Expected in: '/Users/salmannaqvi/lib/python3.10/site-packages/torch/lib/libtorch_cpu.dylib'\n",
-      "  warn(f\"Failed to load image Python extension: {e}\")\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "#|export\n",
     "import gradio as gr\n",
@@ -252,21 +241,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 10,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'gr' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[0;31mNameError\u001B[0m                                 Traceback (most recent call last)",
-      "Cell \u001B[0;32mIn [1], line 4\u001B[0m\n\u001B[1;32m      1\u001B[0m \u001B[38;5;66;03m#|export\u001B[39;00m\n\u001B[1;32m      2\u001B[0m \n\u001B[1;32m      3\u001B[0m \u001B[38;5;66;03m# Perhaps I can make the interface below with **kwargs?\u001B[39;00m\n\u001B[0;32m----> 4\u001B[0m interface \u001B[38;5;241m=\u001B[39m \u001B[43mgr\u001B[49m\u001B[38;5;241m.\u001B[39mInterface(fn\u001B[38;5;241m=\u001B[39mclassify_image, inputs\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mimage\u001B[39m\u001B[38;5;124m'\u001B[39m, outputs\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mlabel\u001B[39m\u001B[38;5;124m'\u001B[39m,\n\u001B[1;32m      5\u001B[0m                          examples\u001B[38;5;241m=\u001B[39mexamples, title\u001B[38;5;241m=\u001B[39mtitle,\n\u001B[1;32m      6\u001B[0m                          description\u001B[38;5;241m=\u001B[39mdescription, article\u001B[38;5;241m=\u001B[39marticle)\n\u001B[1;32m      7\u001B[0m interface\u001B[38;5;241m.\u001B[39mlaunch(inline\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m, enable_queue\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m)\n",
-      "\u001B[0;31mNameError\u001B[0m: name 'gr' is not defined"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Thanks for being a Gradio user! If you have questions or feedback, please join our Discord server and chat with us: https://discord.gg/feTf9x3ZSB\n",
+      "Running on local URL:  http://127.0.0.1:7860\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
      ]
+    },
+    {
+     "data": {
+      "text/plain": "(<gradio.routes.App at 0x2934eead0>, 'http://127.0.0.1:7860/', None)"
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -290,7 +287,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false
    },
@@ -301,7 +298,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 12,
    "metadata": {
     "collapsed": false
    },
@@ -312,12 +309,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
    "metadata": {
     "collapsed": false
-   },
-   "outputs": [],
-   "source": []
+   }
   }
  ],
  "metadata": {