0.3.4

MANIFEST.in

@@ -2,3 +2,6 @@ include gradio/static/*
 include gradio/static/css/*
 include gradio/static/js/*
 include gradio/static/img/*
+include gradio/templates/*
+include gradio/templates/input/*
+include gradio/templates/output/*

build/lib/gradio/interface.py

@@ -166,10 +166,15 @@ class Interface:
                 print("Model is running locally at: {}".format(path_to_server + networking.TEMPLATE_TEMP))
 
         if share:
-            site_ngrok_url = networking.setup_ngrok(server_port, websocket_port, output_directory)
-            if self.verbose:
-                print("Model available publicly for 8 hours at: {}".format(
-                    site_ngrok_url + '/' + networking.TEMPLATE_TEMP))
+            try:
+                site_ngrok_url = networking.setup_ngrok(server_port, websocket_port, output_directory)
+                if self.verbose:
+                    print("Model available publicly for 8 hours at: {}".format(
+                        site_ngrok_url + '/' + networking.TEMPLATE_TEMP))
+            except RuntimeError:
+                site_ngrok_url = None
+                if self.verbose:
+                    print("Unable to create public link for interface, please check internet connection.")
         else:
             if self.verbose:
                 print("To create a public link, set `share=True` in the argument to `launch()`")

build/lib/gradio/templates/input/image_upload.html

@@ -0,0 +1,12 @@
+<div class="gradio input image_file">
+  <div class="role">Input</div>
+  <div class="input_image drop_mode">
+    <div class="input_caption">Drop Image Here<br>- or -<br>Click to Upload</div>
+    <img />
+  </div>
+  <input class="hidden_upload" type="file" accept="image/x-png,image/gif,image/jpeg" />
+</div>
+
+<link rel="stylesheet" href="https://fengyuanchen.github.io/cropper/css/cropper.css">
+<script src="https://fengyuanchen.github.io/cropper/js/cropper.js"></script>
+<script src="../static/js/interfaces/input/image_upload.js"></script>

build/lib/gradio/templates/input/sketchpad.html

@@ -0,0 +1,14 @@
+<div class="gradio input sketchpad">
+  <div class="role">Input</div>
+  <div class="sketch_tools">
+    <div id="brush_1" size="8" class="brush"></div>
+    <div id="brush_2" size="16" class="brush selected"></div>
+    <div id="brush_3" size="24" class="brush"></div>
+  </div>
+  <div class="canvas_holder">
+    <canvas id="canvas"></canvas>
+  </div>
+</div>
+
+<script src="http://yiom.github.io/sketchpad/javascripts/sketchpad.js"></script>
+<script src="../static/js/interfaces/input/sketchpad.js"></script>

build/lib/gradio/templates/input/textbox.html

@@ -0,0 +1,6 @@
+<div class="gradio input text">
+  <div class="role">Input</div>
+  <textarea class="input_text" placeholder="Enter text here..."></textarea>
+</div>
+
+<script src="../static/js/interfaces/input/textbox.js"></script>

build/lib/gradio/templates/output/label.html

@@ -0,0 +1,7 @@
+<div class="gradio output classifier">
+  <div class="role">Output</div>
+  <div class="output_class"></div>
+  <div class="confidence_intervals">
+  </div>
+</div>
+<script src="../static/js/interfaces/output/label.js"></script>

build/lib/gradio/templates/output/textbox.html

@@ -0,0 +1,6 @@
+<div class="gradio output text">
+  <div class="role">Output</div>
+  <textarea readonly class="output_text"></textarea>
+</div>
+
+<script src="../static/js/interfaces/output/textbox.js"></script>

gradio.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 1.0
 Name: gradio
-Version: 0.3.3
+Version: 0.3.4
 Summary: Python library for easily interacting with trained machine learning models
 Home-page: https://github.com/abidlabs/gradio
 Author: Abubakar Abid

gradio.egg-info/SOURCES.txt

@@ -25,6 +25,11 @@ gradio/static/img/webcam.png
 gradio/static/js/all-io.js
 gradio/static/js/utils.js
 gradio/templates/base_template.html
+gradio/templates/input/image_upload.html
+gradio/templates/input/sketchpad.html
+gradio/templates/input/textbox.html
+gradio/templates/output/label.html
+gradio/templates/output/textbox.html
 test/test_inputs.py
 test/test_interface.py
 test/test_networking.py

gradio/interface.py

@@ -166,10 +166,15 @@ class Interface:
                 print("Model is running locally at: {}".format(path_to_server + networking.TEMPLATE_TEMP))
 
         if share:
-            site_ngrok_url = networking.setup_ngrok(server_port, websocket_port, output_directory)
-            if self.verbose:
-                print("Model available publicly for 8 hours at: {}".format(
-                    site_ngrok_url + '/' + networking.TEMPLATE_TEMP))
+            try:
+                site_ngrok_url = networking.setup_ngrok(server_port, websocket_port, output_directory)
+                if self.verbose:
+                    print("Model available publicly for 8 hours at: {}".format(
+                        site_ngrok_url + '/' + networking.TEMPLATE_TEMP))
+            except RuntimeError:
+                site_ngrok_url = None
+                if self.verbose:
+                    print("Unable to create public link for interface, please check internet connection.")
         else:
             if self.verbose:
                 print("To create a public link, set `share=True` in the argument to `launch()`")

setup.py

@@ -5,7 +5,7 @@ except ImportError:
 
 setup(
     name='gradio',
-    version='0.3.3',
+    version='0.3.4',
     include_package_data=True,
     description='Python library for easily interacting with trained machine learning models',
     author='Abubakar Abid',