Streamer-Sales is an open-source large language model system designed specifically for e-commerce live streaming and automated product promotion. The project focuses on generating persuasive product descriptions and live presentation scripts that mimic the style of professional online sales hosts. By analyzing product characteristics and marketing information, the model can produce engaging explanations that emphasize benefits, features, and emotional appeal to encourage viewers to make purchasing decisions. The system integrates multiple AI technologies including retrieval-augmented generation to incorporate product knowledge, speech synthesis to convert generated scripts into voice output, and digital human generation to create virtual hosts. It also supports automatic speech recognition and agent-based tools that can retrieve additional information such as logistics or product details during live sessions.
Features
- LLM trained to generate persuasive product explanations for live commerce
- Integration with retrieval-augmented generation for product knowledge lookup
- Text-to-speech capabilities for converting generated scripts into spoken narration
- Digital avatar generation for creating AI-powered virtual sales hosts
- Automatic speech recognition for processing live audio interactions
- Agent tools capable of retrieving external information during live sessions