latest pypi version

build/lib/gradio/interface.py

@@ -13,11 +13,9 @@ from gradio import networking, strings
 from distutils.version import StrictVersion
 import pkg_resources
 import requests
-import termcolor
 import random
 
 LOCALHOST_IP = "127.0.0.1"
-INITIAL_WEBSOCKET_PORT = 9200
 TRY_NUM_PORTS = 100
 PKG_VERSION_URL = "https://gradio.app/api/pkg-version"
 

build/lib/gradio/networking.py

@@ -223,7 +223,9 @@ def serve_files_in_background(interface, port, directory_to_serve=None):
             elif self.path == "/api/flag/":
                 self._set_headers()
                 data_string = self.rfile.read(int(self.headers["Content-Length"]))
+                print('data_string', data_string)
                 msg = json.loads(data_string)
+                print('msg', msg)
                 flag_dir = FLAGGING_DIRECTORY.format(interface.hash)
                 os.makedirs(flag_dir, exist_ok=True)
                 dict = {'input': interface.input_interface.rebuild_flagged(flag_dir, msg),

build/lib/gradio/tunneling.py

@@ -11,7 +11,7 @@ from io import StringIO
 import warnings
 import paramiko
 
-DEBUG_MODE = False
+DEBUG_MODE = True
 
 
 def handler(chan, host, port):

gradio.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 1.0
 Name: gradio
-Version: 0.7.3
+Version: 0.7.4
 Summary: Python library for easily interacting with trained machine learning models
 Home-page: https://github.com/abidlabs/gradio
 Author: Abubakar Abid

gradio.egg-info/requires.txt

@@ -1,6 +1,4 @@
 numpy
-websockets
-nest_asyncio
 beautifulsoup4
 Pillow
 requests

gradio/interface.py

@@ -13,11 +13,9 @@ from gradio import networking, strings
 from distutils.version import StrictVersion
 import pkg_resources
 import requests
-import termcolor
 import random
 
 LOCALHOST_IP = "127.0.0.1"
-INITIAL_WEBSOCKET_PORT = 9200
 TRY_NUM_PORTS = 100
 PKG_VERSION_URL = "https://gradio.app/api/pkg-version"
 

gradio/networking.py

@@ -223,7 +223,9 @@ def serve_files_in_background(interface, port, directory_to_serve=None):
             elif self.path == "/api/flag/":
                 self._set_headers()
                 data_string = self.rfile.read(int(self.headers["Content-Length"]))
+                print('data_string', data_string)
                 msg = json.loads(data_string)
+                print('msg', msg)
                 flag_dir = FLAGGING_DIRECTORY.format(interface.hash)
                 os.makedirs(flag_dir, exist_ok=True)
                 dict = {'input': interface.input_interface.rebuild_flagged(flag_dir, msg),

gradio/tunneling.py

@@ -11,7 +11,7 @@ from io import StringIO
 import warnings
 import paramiko
 
-DEBUG_MODE = False
+DEBUG_MODE = True
 
 
 def handler(chan, host, port):

setup.py

@@ -5,7 +5,7 @@ except ImportError:
 
 setup(
     name='gradio',
-    version='0.7.3',
+    version='0.7.4',
     include_package_data=True,
     description='Python library for easily interacting with trained machine learning models',
     author='Abubakar Abid',
@@ -15,8 +15,6 @@ setup(
     keywords=['machine learning', 'visualization', 'reproducibility'],
     install_requires=[
         'numpy',
-        'websockets',
-        'nest_asyncio',
         'beautifulsoup4',
         'Pillow',
         'requests',