Guide to building a visual customer service system
Combining image recognition with multi-round dialog functionality, it can be built in three steps:
- File Upload Processing: The front-end converts the user image to base64 and puts it into the
messagesArray:{ "role": "user", "content": "图片描述", "images": ["data:image/png;base64,..."] } - Multimodal Model Calling: Specify the model that supports vision (e.g., gpt-4o) and add the
"vision": trueparameters - Business Logic Processing: Match the knowledge base based on the recognition results, example response process:
Image Recognition → Keyword Extraction → Knowledge Base Retrieval → Generate Natural Language Response
Full tech stack suggestion:
- Front-end: Vue + ElementUI to achieve drag and drop uploading
- Backend: Flask relay request to genspark2api
- Operational layer: withconversation_idmaintain session state
This answer comes from the articleGenspark2api (failed)The
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