diff --git a/gradio/test.py b/gradio/test.py
deleted file mode 100644
index 327dece978..0000000000
--- a/gradio/test.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import tensorflow as tf
-import gradio
-
-(x_train, y_train),(x_test, y_test) = tf.keras.datasets.mnist.load_data()
-x_train, x_test = x_train / 255.0, x_test / 255.0
-
-model = tf.keras.models.Sequential([
-  tf.keras.layers.Flatten(),
-  tf.keras.layers.Dense(512, activation=tf.nn.relu),
-  tf.keras.layers.Dropout(0.2),
-  tf.keras.layers.Dense(10, activation=tf.nn.softmax)
-])
-
-model.compile(optimizer='adam',
-              loss='sparse_categorical_crossentropy',
-              metrics=['accuracy'])
-model.fit(x_train, y_train, epochs=1)
-inp = gradio.inputs.Sketchpad(sample_inputs=x_train[:10])
-iface = gradio.Interface(inputs=inp, outputs="label", model=model, model_type='keras')
-iface.launch(inline=False, share=False, inbrowser=True);
-
-
-# model = tf.keras.models.load_model('MNIST_9344.h5')
-# iface = gradio.Interface(inputs="sketchpad", outputs="label", model=model, model_type='keras')
-# iface.launch(inline=False, share=False, inbrowser=True);