README.md

metadata

title: Worldscope Search
emoji: 🌎
colorFrom: blue
colorTo: green
sdk: gradio
app_file: app.py
pinned: false
short_description: Semantic search over live-camera snapshots with CLIP

Worldscope Search

Semantic image search over a bucket of live-camera snapshots. Type a description and CLIP ranks the snapshots by similarity. Embeddings are precomputed by the HF Jobs pipeline and stored in a public storage bucket; this Space loads them and searches in memory.

Configuration (Space variables)

• HF_BUCKET — bucket holding embeddings.parquet (default shrnik/worldscope)
• EMBEDDINGS_PATH — file name in the bucket (default embeddings.parquet)
• CLIP_MODEL — must match the embed job (default openai/clip-vit-base-patch16)
• TOP_K — number of results (default 100)