Merge branch 'master' of https://github.com/gradio-app/gradio

.gitignore

@@ -24,4 +24,5 @@ docs.json
 demo/tmp.zip
 demo/flagged
 test.txt
-build/
+build/
+gradio/launches.json

MANIFEST.in

@@ -1,2 +1,3 @@
 recursive-include gradio/templates *
 recursive-include gradio/static *
+include gradio/launches.json

gradio.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 1.0
 Name: gradio
-Version: 1.3.1
+Version: 1.3.2
 Summary: Python library for easily interacting with trained machine learning models
 Home-page: https://github.com/gradio-app/gradio-UI
 Author: Abubakar Abid

gradio.egg-info/SOURCES.txt

@@ -7,6 +7,7 @@ gradio/embeddings.py
 gradio/inputs.py
 gradio/interface.py
 gradio/interpretation.py
+gradio/launches.json
 gradio/networking.py
 gradio/notebook.py
 gradio/outputs.py

gradio.egg-info/requires.txt

@@ -1,7 +1,7 @@
 numpy
 requests
-Flask==1.1.1
-Flask-Cors==3.0.8
+Flask>=1.1.1
+Flask-Cors>=3.0.8
 flask-cachebuster
 paramiko
 scipy

gradio/interface.py

@@ -7,6 +7,7 @@ from gradio.inputs import InputComponent
 from gradio.outputs import OutputComponent
 from gradio import networking, strings, utils
 from gradio.interpretation import quantify_difference_in_label
+import pkg_resources
 import requests
 import random
 import time
@@ -19,11 +20,14 @@ import numpy as np
 import os
 import copy
 import markdown2
+import json
 
 analytics.write_key = "uxIFddIEuuUcFLf9VgH2teTEtPlWdkNy"
 analytics_url = 'https://api.gradio.app/'
 ip_address = networking.get_local_ip_address()
 
+JSON_PATH = pkg_resources.resource_filename("gradio", "launches.json")
+
 class Interface:
     """
     Interfaces are created with Gradio using the `gradio.Interface()` function.
@@ -45,7 +49,7 @@ class Interface:
                  title=None, description=None, article=None, thumbnail=None, 
                  server_port=None, server_name=networking.LOCALHOST_NAME,
                  allow_screenshot=True, allow_flagging=True,
-                 embedding="default", flagging_dir="flagged", analytics_enabled=True):
+                 embedding=None, flagging_dir="flagged", analytics_enabled=True):
 
         """
         Parameters:
@@ -196,7 +200,8 @@ class Interface:
             "thumbnail": self.thumbnail,
             "allow_screenshot": self.allow_screenshot,
             "allow_flagging": self.allow_flagging,
-            "allow_interpretation": self.interpretation is not None
+            "allow_interpretation": self.interpretation is not None,
+            "allow_embedding": self.embedding is not None,
         }
         try:
             param_names = inspect.getfullargspec(self.predict[0])[0]
@@ -373,6 +378,7 @@ class Interface:
         path_to_local_server (str): Locally accessible link
         share_url (str): Publicly accessible link (if share=True)
         """
+
         config = self.get_config_file()
         networking.set_config(config)
         networking.set_meta_tags(self.title, self.description, self.thumbnail)
@@ -400,6 +406,17 @@ class Interface:
             else:
                 print("Colab notebook detected. To show errors in colab notebook, set debug=True in launch()")
 
+        if not os.path.exists(JSON_PATH):
+            with open(JSON_PATH, "w+") as j:
+                launches = {"launches": 0}
+                j.write(json.dumps(launches))
+        else:
+            with open(JSON_PATH) as j:
+                launches = json.load(j)
+
+        if launches["launches"] in [25, 50]:
+            print(strings.en["BETA_INVITE"])
+
         self.share = share
         if share:
             print("This share link will expire in 24 hours. If you need a "
@@ -477,6 +494,10 @@ class Interface:
         if not is_in_interactive_mode:
             self.run_until_interrupted(thread, path_to_local_server)
 
+        launches["launches"] += 1
+        with open(JSON_PATH, "w") as j:
+            j.write(json.dumps(launches))
+
         return app, path_to_local_server, share_url
 
 

gradio/static/js/gradio.js

@@ -51,8 +51,8 @@ function gradio(config, fn, target, example_file_path) {
       <button class="run_examples examples-content">Run All</button>
       <button class="load_prev examples-content">Load Previous <em>(CTRL + &larr;)</em></button>
       <button class="load_next examples-content">Load Next <em>(CTRL + &rarr;)</em></button>
-      <button class="order_similar examples-content">Order by Similarity</button>
-      <button class="view_embeddings examples-content">View Embeddings</button>
+      <button class="order_similar examples-content embedding">Order by Similarity</button>
+      <button class="view_embeddings examples-content embedding">View Embeddings</button>
       <button class="update_embeddings embeddings-content invisible">Update Embeddings</button>
       <button class="view_examples embeddings-content invisible">View Examples</button>
       <div class="pages invisible">Page:</div>
@@ -200,6 +200,9 @@ function gradio(config, fn, target, example_file_path) {
   }  
   target.find(".clear").click(clear_all);
 
+  if (!config["allow_embedding"]) {
+    target.find(".embedding").css("visibility", "hidden");
+  }
   if (!config["allow_screenshot"] && !config["allow_flagging"] && !config["allow_interpretation"]) {
     target.find(".screenshot, .record, .flag, .interpret").css("visibility", "hidden");
   } else {

gradio/strings.py

@@ -8,5 +8,7 @@ en = {
     "MODEL_PUBLICLY_AVAILABLE_URL": "Model available publicly at: {} (may take up to a minute for link to be usable)",
     "GENERATING_PUBLIC_LINK": "Generating public link (may take a few seconds...):",
     "TF1_ERROR": "It looks like you might be using tensorflow < 2.0. Please pass capture_session=True in Interface() to"
-                 " avoid the 'Tensor is not an element of this graph.' error."
+                 " avoid the 'Tensor is not an element of this graph.' error.",
+    "BETA_INVITE": "\nWe want to invite you to become a beta user.\nYou'll get early access to new and premium "
+                   "features (persistent links, hosting, and more).\nIf you're interested please email beta@gradio.app\n"
 }

setup.py

@@ -5,7 +5,7 @@ except ImportError:
 
 setup(
     name='gradio',
-    version='1.3.1',
+    version='1.3.2',
     include_package_data=True,
     description='Python library for easily interacting with trained machine learning models',
     author='Abubakar Abid',
@@ -16,8 +16,8 @@ setup(
     install_requires=[
         'numpy',
         'requests',
-        'Flask==1.1.1',
-        'Flask-Cors==3.0.8',
+        'Flask>=1.1.1',
+        'Flask-Cors>=3.0.8',
         'flask-cachebuster',
         'paramiko',
         'scipy',