updated pypi

build/lib/gradio/interface.py

@@ -18,8 +18,7 @@ import time
 import inspect
 from IPython import get_ipython
 
-LOCALHOST_IP = "0.0.0.0"
-TRY_NUM_PORTS = 100
+
 PKG_VERSION_URL = "https://gradio.app/api/pkg-version"
 
 
@@ -32,7 +31,7 @@ class Interface:
     def __init__(self, fn, inputs, outputs, saliency=None, verbose=False, examples=None,
                  live=False, show_input=True, show_output=True,
                  load_fn=None, capture_session=False, title=None, description=None,
-                 thumbnail=None, server_name=LOCALHOST_IP):
+                 thumbnail=None, server_name=networking.LOCALHOST_NAME):
         """
         :param fn: a function that will process the input panel data from the interface and return the output panel data.
         :param inputs: a string or `AbstractInput` representing the input interface.
@@ -306,7 +305,8 @@ class Interface:
                 is_colab
             ):  # Embed the remote interface page if on google colab;
                 # otherwise, embed the local page.
-                time.sleep(1)
+                while not networking.url_ok(share_url):
+                    time.sleep(1)
                 display(IFrame(share_url, width=1000, height=500))
             else:
                 display(IFrame(path_to_local_server, width=1000, height=500))

build/lib/gradio/networking.py

@@ -13,6 +13,7 @@ import json
 from gradio.tunneling import create_tunnel
 import urllib.request
 from shutil import copyfile
+import requests
 
 INITIAL_PORT_VALUE = (
     7860
@@ -20,7 +21,7 @@ INITIAL_PORT_VALUE = (
 TRY_NUM_PORTS = (
     100
 )  # Number of ports to try before giving up and throwing an exception.
-LOCALHOST_NAME = "0.0.0.0"
+LOCALHOST_NAME = "127.0.0.1"
 GRADIO_API_SERVER = "https://api.gradio.app/v1/tunnel-request"
 
 STATIC_TEMPLATE_LIB = pkg_resources.resource_filename("gradio", "templates/")
@@ -242,3 +243,11 @@ def setup_tunnel(local_server_port):
 
         except Exception as e:
             raise RuntimeError(str(e))
+
+
+def url_ok(url):
+    try:
+        r = requests.head(url)
+        return r.status_code == 200
+    except ConnectionError:
+        return False

build/lib/gradio/outputs.py

@@ -49,7 +49,7 @@ class Label(AbstractOutput):
 
     def postprocess(self, prediction):
         if isinstance(prediction, str):
-            return {"label": str}
+            return {"label": prediction}
         elif isinstance(prediction, dict):
             sorted_pred = sorted(
                 prediction.items(), 

gradio.egg-info/PKG-INFO

@@ -1,8 +1,8 @@
 Metadata-Version: 1.0
 Name: gradio
-Version: 0.9.5
+Version: 0.9.6
 Summary: Python library for easily interacting with trained machine learning models
-Home-page: https://github.com/abidlabs/gradio
+Home-page: https://github.com/gradio-app/gradio-UI
 Author: Abubakar Abid
 Author-email: a12d@stanford.edu
 License: UNKNOWN

setup.py

@@ -5,12 +5,12 @@ except ImportError:
 
 setup(
     name='gradio',
-    version='0.9.5',
+    version='0.9.6',
     include_package_data=True,
     description='Python library for easily interacting with trained machine learning models',
     author='Abubakar Abid',
     author_email='a12d@stanford.edu',
-    url='https://github.com/abidlabs/gradio',
+    url='https://github.com/gradio-app/gradio-UI',
     packages=['gradio'],
     keywords=['machine learning', 'visualization', 'reproducibility'],
     install_requires=[