networking tweak (gradio-app#1143)

* networking tweak

* updated PyPi version to 2.9b20

* tweaks

* updated PyPi version to 2.9b21

Co-authored-by: pngwn <[email protected]>

gradio.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: gradio
-Version: 2.9b12
+Version: 2.9b21
 Summary: Python library for easily interacting with trained machine learning models
 Home-page: https://github.com/gradio-app/gradio-UI
 Author: Abubakar Abid, Ali Abid, Ali Abdalla, Dawood Khan, Ahsen Khaliq, Pete Allen, Ömer Faruk Özdemir

gradio/blocks.py

@@ -267,10 +267,12 @@ def __init__(
         self.ip_address = utils.get_local_ip_address()
         self.is_space = True if os.getenv("SYSTEM") == "spaces" else False
         self.favicon_path = None
+        self.auth = None
         if self.is_space and enable_queue is None:
             self.enable_queue = True
         else:
             self.enable_queue = enable_queue or False
+        self.config = self.get_config_file()
 
     def render(self):
         if Context.root_block is not None:
@@ -457,7 +459,6 @@ def launch(
         local_url (str): Locally accessible link to the demo
         share_url (str): Publicly accessible link to the demo (if share=True, otherwise None)
         """
-        self.config = self.get_config_file()
         if (
             auth
             and not callable(auth)
@@ -479,9 +480,6 @@ def launch(
                 getpass.getpass("Enter key for encryption: ")
             )
 
-        config = self.get_config_file()
-        self.config = config
-
         if self.is_running:
             self.server_app.launchable = self
             print(

gradio/interface.py

@@ -631,6 +631,8 @@ def load_example(example_id):
             if self.article:
                 Markdown(self.article)
 
+        self.config = self.get_config_file()
+
     def __call__(self, *params):
         if (
             self.api_mode

gradio/networking.py

@@ -70,6 +70,22 @@ def get_first_available_port(initial: int, final: int) -> int:
     )
 
 
+def configure_app(app: fastapi.FastAPI, blocks: Blocks) -> fastapi.FastAPI:
+    auth = blocks.auth
+    if auth is not None:
+        if not callable(auth):
+            app.auth = {account[0]: account[1] for account in auth}
+        else:
+            app.auth = auth
+    else:
+        app.auth = None
+    app.blocks = blocks
+    app.cwd = os.getcwd()
+    app.favicon_path = blocks.favicon_path
+    app.tokens = {}
+    return app
+
+
 def start_server(
     blocks: Blocks,
     server_name: Optional[str] = None,
@@ -123,23 +139,11 @@ def start_server(
     else:
         path_to_local_server = "http://{}:{}/".format(url_host_name, port)
 
-    auth = blocks.auth
     app = create_app()
-
-    if auth is not None:
-        if not callable(auth):
-            app.auth = {account[0]: account[1] for account in auth}
-        else:
-            app.auth = auth
-    else:
-        app.auth = None
-    app.blocks = blocks
-    app.cwd = os.getcwd()
-    app.favicon_path = blocks.favicon_path
-    app.tokens = {}
+    app = configure_app(app, blocks)
 
     if app.blocks.enable_queue:
-        if auth is not None or app.blocks.encrypt:
+        if blocks.auth is not None or app.blocks.encrypt:
             raise ValueError("Cannot queue with encryption or authentication enabled.")
         queueing.init()
         app.queue_thread = threading.Thread(

gradio/version.txt

@@ -1 +1 @@
-2.9b12
+2.9b21

setup.py

@@ -9,7 +9,7 @@
 
 setup(
     name="gradio",
-    version="2.9b12",
+    version="2.9b21",
     include_package_data=True,
     description="Python library for easily interacting with trained machine learning models",
     long_description=long_description,