diff --git a/build/lib/gradio/inputs.py b/build/lib/gradio/inputs.py
index 4f9141aefb..c65b57e978 100644
--- a/build/lib/gradio/inputs.py
+++ b/build/lib/gradio/inputs.py
@@ -7,7 +7,7 @@ automatically added to a registry, which allows them to be easily referenced in
 from abc import ABC, abstractmethod
 from gradio import preprocessing_utils, validation_data
 import numpy as np
-from PIL import Image, ImageOps
+import PIL.Image, PIL.ImageOps
 import time
 import warnings
 import json
@@ -84,11 +84,11 @@ class Sketchpad(AbstractInput):
         Default preprocessing method for the SketchPad is to convert the sketch to black and white and resize 28x28
         """
         im_transparent = preprocessing_utils.decode_base64_to_image(inp)
-        im = Image.new("RGBA", im_transparent.size, "WHITE")  # Create a white background for the alpha channel
+        im = PIL.Image.new("RGBA", im_transparent.size, "WHITE")  # Create a white background for the alpha channel
         im.paste(im_transparent, (0, 0), im_transparent)
         im = im.convert('L')
         if self.invert_colors:
-            im = ImageOps.invert(im)
+            im = PIL.ImageOps.invert(im)
         im = im.resize((self.image_width, self.image_height))
         if self.flatten:
             array = np.array(im).flatten().reshape(1, self.image_width * self.image_height)
@@ -261,6 +261,7 @@ class Slider(AbstractInput):
             "checkbox": {},
         }
 
+
 class Checkbox(AbstractInput):
     def __init__(self, label=None):
         super().__init__(label)
@@ -272,7 +273,7 @@ class Checkbox(AbstractInput):
         }
 
 
-class ImageIn(AbstractInput):
+class Image(AbstractInput):
     def __init__(self, cast_to=None, shape=(224, 224, 3), image_mode='RGB',
                  scale=1/127.5, shift=-1, cropper_aspect_ratio=None, label=None):
         self.cast_to = cast_to
diff --git a/build/lib/gradio/interface.py b/build/lib/gradio/interface.py
index d70c301fcb..fbd1640f57 100644
--- a/build/lib/gradio/interface.py
+++ b/build/lib/gradio/interface.py
@@ -16,7 +16,6 @@ import requests
 import random
 import time
 from IPython import get_ipython
-import tensorflow as tf
 
 LOCALHOST_IP = "0.0.0.0"
 TRY_NUM_PORTS = 100
@@ -31,7 +30,7 @@ class Interface:
 
     def __init__(self, fn, inputs, outputs, saliency=None, verbose=False,
                  live=False, show_input=True, show_output=True,
-                 load_fn=None, capture_session=False,
+                 load_fn=None, capture_session=False, title=None, description=None,
                  server_name=LOCALHOST_IP):
         """
         :param fn: a function that will process the input panel data from the interface and return the output panel data.
@@ -81,6 +80,8 @@ class Interface:
         self.capture_session = capture_session
         self.session = None
         self.server_name = server_name
+        self.title = title
+        self.description = description
 
     def get_config_file(self):
         return {
@@ -93,7 +94,9 @@ class Interface:
             "function_count": len(self.predict),
             "live": self.live,
             "show_input": self.show_input,
-            "show_output": self.show_output,            
+            "show_output": self.show_output,
+            "title": self.title,
+            "description": self.description,
         }
 
     def process(self, raw_input):
@@ -109,8 +112,15 @@ class Interface:
                             prediction = predict_fn(*processed_input,
                                                     self.context)
                 else:
-                    prediction = predict_fn(*processed_input,
-                                            self.context)
+                    try:
+                        prediction = predict_fn(*processed_input, self.context)
+                    except ValueError:
+                        print("It looks like you might be "
+                              "using tensorflow < 2.0. Please pass "
+                              "capture_session=True in Interface to avoid "
+                              "a 'Tensor is not an element of this graph.' "
+                              "error.")
+                        prediction = predict_fn(*processed_input, self.context)
             else:
                 if self.capture_session:
                     graph, sess = self.session
@@ -118,7 +128,16 @@ class Interface:
                         with sess.as_default():
                             prediction = predict_fn(*processed_input)
                 else:
-                    prediction = predict_fn(*processed_input)
+                    try:
+                        prediction = predict_fn(*processed_input)
+                    except ValueError:
+                        print("It looks like you might be "
+                              "using tensorflow < 2.0. Please pass "
+                              "capture_session=True in Interface to avoid "
+                              "a 'Tensor is not an element of this graph.' "
+                              "error.")
+                        prediction = predict_fn(*processed_input)
+
             if len(self.output_interfaces) / \
                     len(self.predict) == 1:
                 prediction = [prediction]
@@ -127,7 +146,6 @@ class Interface:
             predictions[i]) for i, output_interface in enumerate(self.output_interfaces)]
         return processed_output
 
-
     def validate(self):
         if self.validate_flag:
             if self.verbose:
@@ -180,11 +198,7 @@ class Interface:
             return
         raise RuntimeError("Validation did not pass")
 
-<<<<<<< HEAD
-    def launch(self, inline=None, inbrowser=None, share=False, validate=True, title=None, description=None):
-=======
     def launch(self, inline=None, inbrowser=None, share=False, validate=True):
->>>>>>> 2bd16c2f9c360c98583b94e2f6a6ea7259a98217
         """
         Standard method shared by interfaces that creates the interface and sets up a websocket to communicate with it.
         :param inline: boolean. If True, then a gradio interface is created inline (e.g. in jupyter or colab notebook)
@@ -198,6 +212,7 @@ class Interface:
         self.context = context
 
         if self.capture_session:
+            import tensorflow as tf
             self.session = tf.get_default_graph(), \
                           tf.keras.backend.get_session()
 
@@ -294,11 +309,6 @@ class Interface:
 
         config = self.get_config_file()
         config["share_url"] = share_url
-<<<<<<< HEAD
-        config["title"] = title
-        config["description"] = description
-=======
->>>>>>> 2bd16c2f9c360c98583b94e2f6a6ea7259a98217
         networking.set_config(config, output_directory)
 
         return httpd, path_to_local_server, share_url
diff --git a/build/lib/gradio/static/js/gradio.js b/build/lib/gradio/static/js/gradio.js
index 912ab57b89..bf6cb9e87e 100644
--- a/build/lib/gradio/static/js/gradio.js
+++ b/build/lib/gradio/static/js/gradio.js
@@ -1,11 +1,7 @@
 function gradio(config, fn, target) {
   target = $(target);
   target.html(`
-<<<<<<< HEAD
     <div class="panels container">
-=======
-    <div class="panels">
->>>>>>> 2bd16c2f9c360c98583b94e2f6a6ea7259a98217
       <div class="panel input_panel">
         <div class="input_interfaces">
         </div>          
@@ -30,7 +26,7 @@ function gradio(config, fn, target) {
 
     let input_to_object_map = {
       "csv" : {},
-      "imagein" : image_input,
+      "image" : image_input,
       "sketchpad" : sketchpad_input,
       "textbox" : textbox_input,
       "webcam" : webcam,
diff --git a/dist/gradio-0.9.1-py3.6.egg b/dist/gradio-0.9.1-py3.6.egg
deleted file mode 100644
index 34e4821c2e..0000000000
Binary files a/dist/gradio-0.9.1-py3.6.egg and /dev/null differ
diff --git a/gradio.egg-info/PKG-INFO b/gradio.egg-info/PKG-INFO
index c5b37f2a7f..069f5291dd 100644
--- a/gradio.egg-info/PKG-INFO
+++ b/gradio.egg-info/PKG-INFO
@@ -1,6 +1,6 @@
 Metadata-Version: 1.0
 Name: gradio
-Version: 0.9.2
+Version: 0.9.3
 Summary: Python library for easily interacting with trained machine learning models
 Home-page: https://github.com/abidlabs/gradio
 Author: Abubakar Abid
diff --git a/setup.py b/setup.py
index cc2836cd01..1f07409d4e 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@ except ImportError:
 
 setup(
     name='gradio',
-    version='0.9.2',
+    version='0.9.3',
     include_package_data=True,
     description='Python library for easily interacting with trained machine learning models',
     author='Abubakar Abid',