The invention discloses a multi-language 3D
digital human interaction method adopting GPT. The method comprises the following steps: 1) creating a
digital human unreal engine; 2) analyzing multi-
modal problem contents of voice, texts, pictures and documents input by the user; 3) constructing a multi-
modal content review model to review the multi-
modal problem; 4) calling GPT streaming response to obtain question answers according to the
user input with normal content review; 5) performing intelligent
sentence segmentation on question answers (texts) to obtain
sentence queues; 6) calling TTS nodes simultaneously for each
sentence in the text
queue in an asynchronous mode to generate voice, and establishing a voice
queue; 7) asynchronously executing
mouth shape animation generation on the voice
queue in the previous step to obtain an
animation queue; and 8) synchronously playing the voice and the
animation in sequence, and presenting the interaction effect in real time. Compared with the prior art, the method supports multi-language and multi-
model selection, is compatible with multi-modal input of pictures, voices, documents and the like, and realizes a multi-modal content review mechanism.