diff --git a/README.md b/README.md
index dad8988c93..69f83c044c 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 `Gradio` is a python library that allows you to place input and output interfaces over trained models to make it easy for you to "play around" with your model. Gradio runs entirely locally using your browser.
 
-To get a sense of `gradio`, take a look at the  python notebooks in the `examples` folder, or read on below!
+To get a sense of `gradio`, take a look at the  python notebooks in the `examples` folder, or read on below! And be sure to visit the gradio website: www.gradio.app.
 
 ## Installation
 ```
@@ -12,21 +12,19 @@ pip install gradio
 
 ## Usage
 
-Gradio is very easy to use with your existing code. The general way it's used is something like this:
+Gradio is very easy to use with your existing code. Here is a minimum working example:
 
 
 ```python
-import tensorflow as tf
 import gradio
+import tensorflow as tf
+image_mdl = tf.keras.applications.inception_v3.InceptionV3()
 
-mdl = tf.keras.models.Sequential()
-# ... define and train the model as you would normally
-
-iface = gradio.Interface(input=“sketchpad”, output=“class”, model_type=“keras”, model=mdl)
-iface.launch()
+io = gradio.Interface(inputs="imageupload", outputs="label", model_type="keras", model=image_mdl)
+io.launch()
 ```
 
-Changing the `input` and `output` parameters in the `Interface` face object allow you to create different interfaces, depending on the needs of your model. Take a look at the python notebooks for more examples. The currently supported interfaces are as follows:
+You can supply your own model instead of the pretrained model above, as well as use different kinds of models, not just keras models. Changing the `input` and `output` parameters in the `Interface` face object allow you to create different interfaces, depending on the needs of your model. Take a look at the python notebooks for more examples. The currently supported interfaces are as follows:
 
 **Input interfaces**:
 * Sketchpad
@@ -35,39 +33,42 @@ Changing the `input` and `output` parameters in the `Interface` face object allo
 * Textbox
 
 **Output interfaces**:
-* Class
+* Label
 * Textbox
 
 ## Screenshots
 
 Here are a few screenshots that show examples of gradio interfaces
 
-#### MNIST Digit Recognition (Input: Sketchpad, Output: Class)
+#### MNIST Digit Recognition (Input: Sketchpad, Output: Label)
 
 ```python
-iface = gradio.Interface(input='sketchpad', output='class', model=model, model_type='keras')
+iface = gradio.Interface(input='sketchpad', output='label', model=model, model_type='keras')
 iface.launch()
 ```
 
 ![alt text](https://raw.githubusercontent.com/abidlabs/gradio/master/screenshots/mnist4.png)
 
-#### Facial Emotion Detector (Input: Webcam, Output: Class)
+#### Facial Emotion Detector (Input: Webcam, Output: Label)
 
 ```python
-iface = gradio.Interface(input='webcam', output='class', model=model, model_type='keras')
+iface = gradio.Interface(inputs='webcam', outputs='label', model=model, model_type='keras')
 iface.launch()
 ```
 
 ![alt text](https://raw.githubusercontent.com/abidlabs/gradio/master/screenshots/webcam_happy.png)
 
-#### Sentiment Analysis (Input: Textbox, Output: Class)
+#### Sentiment Analysis (Input: Textbox, Output: Label)
 
 ```python
-iface = gradio.Interface(input='textbox', output='class', model=model, model_type='keras')
+iface = gradio.Interface(inputs='textbox', outputs='label', model=model, model_type='keras')
 iface.launch()
 ```
 
 ![alt text](https://raw.githubusercontent.com/abidlabs/gradio/master/screenshots/sentiment_positive.png)
 
+### More Documentation
+
+More detailed and up-to-date documentation can be found on the gradio website: www.gradio.app.