EmoPP is an emotion-aware prosodic phrase generation model that enhances the emotional expressiveness of speech synthesis by accurately mining emotional cues from text. The EmoPP code has been open-sourced on GitHub, allowing users to customize training and application to improve the naturalness of various voice interaction systems. This model supports multiple datasets and outperforms baselines in emotional performance, promising to bring more vivid voice outputs to applications like voice assistants.