vlm-demo

This demo runs a pretrained OpenCLIP ViT-B/32 model on a single static image. It encodes both the image and candidate text prompts into a shared embedding space and predicts the best semantic match. It’s a simple example of vision–language reasoning, similar to the perception step used in VLA/roboti