Removing examples

app.py

@@ -17,6 +17,8 @@ def model_fn(preprocessor, encoder):
     return tf.keras.Model(text_input, pooled_output)
 
 def predict_fn(text):
+    print(text)
+    print(tf.constant([text]))
     embed = model(tf.constant([text]))[0].numpy()
     return embed
 
@@ -26,6 +28,5 @@ model = model_fn(preprocessor, encoder)
 
 iface = gr.Interface(fn=predict_fn, 
                      inputs=gr.Textbox(lines=2, placeholder="Text input here...", label="Text"), 
-                     outputs="text",
-                     examples=[["Hello! This is a random sentence"]])
+                     outputs="text")
 iface.launch()