pass keras graph into thread

Test Keras.ipynb

@@ -27,9 +27,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# model = tf.keras.applications.inception_v3.InceptionV3()\n",
-    "def model(x):\n",
-    "    return \"test class\""
+    "model = tf.keras.applications.inception_v3.InceptionV3()"
    ]
   },
   {
@@ -51,13 +49,12 @@
     "io = gradio.Interface(inputs=inp, \n",
     "                      outputs=out,\n",
     "                      model=model, \n",
-    "#                       model_type='keras')\n",
-    "                      model_type='pyfunc')"
+    "                      model_type='keras')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {
     "scrolled": false
    },
@@ -66,10 +63,9 @@
      "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 available publicly for 8 hours at: https://e46308c0.gradio.app/\n"
+      "Model available publicly at: https://10227.gradio.app -- may take up to a minute to setup.\n"
      ]
     },
     {
@@ -86,7 +82,7 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x239f4273a90>"
+       "<IPython.lib.display.IFrame at 0x1cc2975aa90>"
       ]
      },
      "metadata": {},

gradio/interface.py

@@ -10,10 +10,15 @@ import webbrowser
 import gradio.inputs
 import gradio.outputs
 from gradio import networking, strings
+from distutils.version import StrictVersion
+import pkg_resources
+import requests
+import termcolor
 
 LOCALHOST_IP = "127.0.0.1"
 INITIAL_WEBSOCKET_PORT = 9200
 TRY_NUM_PORTS = 100
+PKG_VERSION_URL = "https://gradio.app/api/pkg-version"
 
 
 class Interface:
@@ -80,6 +85,9 @@ class Interface:
         elif not (model_type.lower() in self.VALID_MODEL_TYPES):
             ValueError("model_type must be one of: {}".format(self.VALID_MODEL_TYPES))
         self.model_type = model_type
+        if self.model_type == "keras":
+            import tensorflow as tf
+            self.graph = tf.get_default_graph()
         self.verbose = verbose
         self.status = self.STATUS_TYPES["OFF"]
         self.validate_flag = False
@@ -127,12 +135,12 @@ class Interface:
         if self.model_type == "sklearn":
             return self.model_obj.predict(preprocessed_input)
         elif self.model_type == "keras":
+            with self.graph.as_default():
                 return self.model_obj.predict(preprocessed_input)
         elif self.model_type == "pyfunc":
             return self.model_obj(preprocessed_input)
         elif self.model_type == "pytorch":
             import torch
-
             value = torch.from_numpy(preprocessed_input)
             value = torch.autograd.Variable(value)
             prediction = self.model_obj(value)
@@ -237,6 +245,12 @@ class Interface:
         except NameError:
             pass
 
+        current_pkg_version = pkg_resources.require("gradio")[0].version
+        latest_pkg_version = requests.get(url=PKG_VERSION_URL).json()["version"]
+        if StrictVersion(latest_pkg_version) > StrictVersion(current_pkg_version):
+            print(f"IMPORTANT: You are using gradio version {current_pkg_version}, however version {latest_pkg_version} "
+                  f"is available, please upgrade.")
+            print('--------')
         if self.verbose:
             print(strings.en["BETA_MESSAGE"])
             if not is_colab:

gradio/networking.py

@@ -13,6 +13,7 @@ from gradio import inputs, outputs
 import json
 from gradio.tunneling import create_tunnel
 import urllib.request
+from shutil import copyfile
 
 INITIAL_PORT_VALUE = (
     7860
@@ -32,6 +33,9 @@ TEMPLATE_TEMP = "index.html"
 BASE_JS_FILE = "static/js/all_io.js"
 CONFIG_FILE = "static/config.json"
 
+ASSOCIATION_PATH_IN_STATIC = "static/apple-app-site-association"
+ASSOCIATION_PATH_IN_ROOT = "apple-app-site-association"
+
 
 def build_template(temp_dir, input_interface, output_interface):
     """
@@ -75,6 +79,10 @@ def build_template(temp_dir, input_interface, output_interface):
     f.write(str(all_io_soup))
 
     copy_files(STATIC_PATH_LIB, os.path.join(temp_dir, STATIC_PATH_TEMP))
+    # Move association file to root of temporary directory.
+    copyfile(os.path.join(temp_dir, ASSOCIATION_PATH_IN_STATIC),
+             os.path.join(temp_dir, ASSOCIATION_PATH_IN_ROOT))
+
     render_template_with_tags(
         os.path.join(
             temp_dir,

gradio/static/apple-app-site-association

@@ -0,0 +1,11 @@
+{
+  "applinks": {
+    "apps": [],
+    "details": [
+    {
+      "appID": "RHW8FBGSTX.app.gradio.Gradio",
+      "paths": ["*"]
+    }
+    ]
+  }
+}

gradio/strings.py

@@ -5,5 +5,5 @@ en = {
                          "restarting python interpreter.",
     "COLAB_NO_LOCAL": "Cannot display local interface on google colab, public link created.",
     "PUBLIC_SHARE_TRUE": "To create a public link, set `share=True` in the argument to `launch()`.",
-    "MODEL_PUBLICLY_AVAILABLE_URL": "Model available publicly for 8 hours at: {}"
+    "MODEL_PUBLICLY_AVAILABLE_URL": "Model available publicly at: {} -- may take up to a minute to setup."
 }

gradio/tunneling.py

@@ -8,7 +8,7 @@ import socket
 import sys
 import threading
 from io import StringIO
-
+import warnings
 import paramiko
 
 DEBUG_MODE = False
@@ -68,6 +68,8 @@ def create_tunnel(payload, local_server, local_server_port):
         "Connecting to ssh host %s:%d ..." % (payload["host"], int(payload["port"]))
     )
     try:
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore")
             client.connect(
                 hostname=payload["host"],
                 port=int(payload["port"]),