replaced ngrok with share_url

Demo Gradio.ipynb

@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {
     "scrolled": false
    },
@@ -56,10 +56,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Closing existing server...\n",
       "NOTE: Gradio is in beta stage, please report all bugs to: contact.gradio@gmail.com\n",
-      "Model is running locally at: http://localhost:7860/\n",
+      "Model is running locally at: http://localhost:7861/\n",
-      "Model available publicly for 8 hours at: https://a5853afe.gradio.app/\n"
+      "Model available publicly at: https://30008.gradio.app -- may take up to a minute to setup.\n"
      ]
     },
     {
@@ -69,37 +68,23 @@
        "        <iframe\n",
        "            width=\"1000\"\n",
        "            height=\"500\"\n",
-       "            src=\"http://localhost:7860/\"\n",
+       "            src=\"http://localhost:7861/\"\n",
        "            frameborder=\"0\"\n",
        "            allowfullscreen\n",
        "        ></iframe>\n",
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x1ad4e654e48>"
+       "<IPython.lib.display.IFrame at 0x1cc809aa940>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "flagged\n"
-     ]
     }
    ],
    "source": [
     "io.launch(inline=True, inbrowser=True, share=True, validate=False);"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

Test Keras.ipynb

@@ -1,169 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Load the Model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%load_ext autoreload\n",
-    "%autoreload 2\n",
-    "\n",
-    "import numpy as np\n",
-    "import tensorflow as tf\n",
-    "import gradio"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WARNING:tensorflow:From C:\\Users\\ALI\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\ops\\resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
-      "Instructions for updating:\n",
-      "Colocations handled automatically by placer.\n"
-     ]
-    }
-   ],
-   "source": [
-    "model = tf.keras.applications.inception_v3.InceptionV3()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Using Gradio"
-   ]
-  },
-  {
-   "cell_type": "code",
-<<<<<<< HEAD
-   "execution_count": 44,
-=======
-   "execution_count": 3,
->>>>>>> 06bb0375ca3a60d4836a9d6e07c0ba2530b73c80
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "inp = gradio.inputs.ImageUpload(shape=(299,299,3))\n",
-    "out = gradio.outputs.Label(label_names='imagenet1000')\n",
-    "\n",
-    "io = gradio.Interface(inputs=inp, \n",
-    "                      outputs=out,\n",
-    "                      model=model, \n",
-    "                      model_type='keras')\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-<<<<<<< HEAD
-   "execution_count": 45,
-   "metadata": {},
-=======
-   "execution_count": 4,
-   "metadata": {
-    "scrolled": false
-   },
->>>>>>> 06bb0375ca3a60d4836a9d6e07c0ba2530b73c80
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "NOTE: Gradio is in beta stage, please report all bugs to: contact.gradio@gmail.com\n",
-<<<<<<< HEAD
-      "Model is running locally at: http://localhost:7864/\n",
-      "Unable to create public link for interface, please check internet connection or try restarting python interpreter.\n"
-=======
-      "Model is running locally at: http://localhost:7860/\n",
-      "Model available publicly at: https://47290.gradio.app -- may take up to a minute to setup.\n"
->>>>>>> 06bb0375ca3a60d4836a9d6e07c0ba2530b73c80
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "        <iframe\n",
-       "            width=\"1000\"\n",
-       "            height=\"500\"\n",
-<<<<<<< HEAD
-       "            src=\"http://localhost:7864/\"\n",
-=======
-       "            src=\"http://localhost:7860/\"\n",
->>>>>>> 06bb0375ca3a60d4836a9d6e07c0ba2530b73c80
-       "            frameborder=\"0\"\n",
-       "            allowfullscreen\n",
-       "        ></iframe>\n",
-       "        "
-      ],
-      "text/plain": [
-<<<<<<< HEAD
-       "<IPython.lib.display.IFrame at 0x25256d02b38>"
-=======
-       "<IPython.lib.display.IFrame at 0x288afe67e48>"
->>>>>>> 06bb0375ca3a60d4836a9d6e07c0ba2530b73c80
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-<<<<<<< HEAD
-    },
-    {
-     "data": {
-      "text/plain": [
-       "(<gradio.networking.serve_files_in_background.<locals>.HTTPServer at 0x25256d023c8>,\n",
-       " 'http://localhost:7864/',\n",
-       " None)"
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "io.launch(inline=True, inbrowser=False, share=True, validate=False)"
-=======
-    }
-   ],
-   "source": [
-    "io.launch(inline=True, inbrowser=False, share=True, validate=False);"
->>>>>>> 06bb0375ca3a60d4836a9d6e07c0ba2530b73c80
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3.6 (tensorflow)",
-   "language": "python",
-   "name": "tensorflow"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}

gradio/interface.py

@@ -277,6 +277,7 @@ class Interface:
         if share_url is not None:
             if self.verbose:
                 print(strings.en["MODEL_PUBLICLY_AVAILABLE_URL"].format(share_url))
+        networking.set_share_url_in_config_file(output_directory, share_url)
 
         if inline is None:
             try:  # Check if running interactively using ipython.

gradio/networking.py

@@ -151,6 +151,16 @@ def set_interface_types_in_config_file(temp_dir, input_interface, output_interfa
     )
 
 
+def set_share_url_in_config_file(temp_dir, share_url):
+    config_file = os.path.join(temp_dir, CONFIG_FILE)
+    render_template_with_tags(
+        config_file,
+        {
+            "share_url": share_url,
+        },
+    )
+
+
 def get_first_available_port(initial, final):
     """
     Gets the first open port in a specified range of port numbers

gradio/static/config.json

@@ -1,5 +1,5 @@
 {
   "input_interface_type": "{{input_interface_type}}",
   "output_interface_type": "{{output_interface_type}}",
-  "ngrok_socket_url": "{{ngrok_socket_url}}"
+  "share_url": "{{share_url}}"
 }