From bdef3a8dd07d65f4953f7236b4f3360c712ed49f Mon Sep 17 00:00:00 2001
From: Ali Abid <ali.abid@gradio.app>
Date: Thu, 23 Dec 2021 17:50:22 +0000
Subject: [PATCH] updated PyPi version

---
 gradio.egg-info/PKG-INFO     |  6 +++---
 gradio.egg-info/requires.txt | 26 +++++++++++++-------------
 gradio/version.txt           |  2 +-
 setup.py                     |  2 +-
 4 files changed, 18 insertions(+), 18 deletions(-)

diff --git a/gradio.egg-info/PKG-INFO b/gradio.egg-info/PKG-INFO
index 56118b4d67..8e72dc878b 100644
--- a/gradio.egg-info/PKG-INFO
+++ b/gradio.egg-info/PKG-INFO
@@ -1,10 +1,10 @@
 Metadata-Version: 1.0
 Name: gradio
-Version: 2.5.3
+Version: 2.6.0
 Summary: Python library for easily interacting with trained machine learning models
 Home-page: https://github.com/gradio-app/gradio-UI
-Author: Abubakar Abid
-Author-email: a12d@stanford.edu
+Author: Abubakar Abid, Ali Abid, Ali Abdalla, Dawood Khan, Ahsen Khaliq
+Author-email: team@gradio.app
 License: Apache License 2.0
 Description: UNKNOWN
 Keywords: machine learning,visualization,reproducibility
diff --git a/gradio.egg-info/requires.txt b/gradio.egg-info/requires.txt
index ff985eefcb..ed319be6ca 100644
--- a/gradio.egg-info/requires.txt
+++ b/gradio.egg-info/requires.txt
@@ -1,15 +1,15 @@
-numpy
-pydub
-matplotlib
-pandas
-pillow
-ffmpy
-markdown2
-pycryptodome
-requests
-paramiko
-analytics-python
-Flask>=1.1.1
 Flask-Cors>=3.0.8
-flask-cachebuster
 Flask-Login
+Flask>=1.1.1
+analytics-python
+ffmpy
+flask-cachebuster
+markdown2
+matplotlib
+numpy
+pandas
+paramiko
+pillow
+pycryptodome
+pydub
+requests
diff --git a/gradio/version.txt b/gradio/version.txt
index f225a78adf..e70b4523ae 100644
--- a/gradio/version.txt
+++ b/gradio/version.txt
@@ -1 +1 @@
-2.5.2
+2.6.0
diff --git a/setup.py b/setup.py
index 40458ff691..346e2994a5 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@ except ImportError:
 
 setup(
     name='gradio',
-    version='2.5.3',
+    version='2.6.0',
     include_package_data=True,
     description='Python library for easily interacting with trained machine learning models',
     author='Abubakar Abid, Ali Abid, Ali Abdalla, Dawood Khan, Ahsen Khaliq',