Traditional dance choreography is time-consuming and labor-intensive, causing an expensive and tedious production. In addition, intelligent music-driven dance choreography has a circumstance of lack of data. Therefore, an intelligent music-driven dance choreography display system was designed based on a new framework using directed graph nueral network, which faces to administrators and general users, consisting of managements of scene, network, interaction and data. For normal users, the effectiveness of custom audio file is assesed, and the choreography result is returned based on an directed graph neural network framework, then the system displays dance sequences. For administrators, the functions of resource migration and user management are offered to update available models trained on the growing dataset. While for general users, the upload files are checked then choreography and display. The experimental results show that the system can generate higher quality dance sequences compared to baseline, and recives high user satisfaction, short response time, having a certain application value.