A model for drug repurposing is proposed by , it was tested on Type 2 Diabetes Mellitus (T2DM). The model augments both structural information from StAR transformer model and semantic information of the name and description of drugs from HittER transformer model; this led to outperforming these single-embedding models. The model has successfully discovered five drugs that can be repurposed for T2DM; Triterpenes, Sho-saiko-to, LY294002, Clomiphene Citrate, and Mitogen-Activated Protein Kinase Inhibitors (MAPK Inhibitors).