  In this work, we demonstrate a Chinese classical poetry generation system
called Deep Poetry. Existing systems for Chinese classical poetry generation
are mostly template-based and very few of them can accept multi-modal input.
Unlike previous systems, Deep Poetry uses neural networks that are trained on
over 200 thousand poems and 3 million ancient Chinese prose. Our system can
accept plain text, images or artistic conceptions as inputs to generate Chinese
classical poetry. More importantly, users are allowed to participate in the
process of writing poetry by our system. For the user's convenience, we deploy
the system at the WeChat applet platform, users can use the system on the
mobile device whenever and wherever possible. The demo video of this paper is
available at https://youtu.be/jD1R_u9TA3M.
