README.md

metadata

title: Multilingual Static Word Embeddings Demo
sdk: gradio
app_file: app.py
pinned: false

Multilingual Static Word Embeddings Demo

This Space loads a saved aligned multilingual embedding space and lets users search translations and nearest neighbors with adjustable retrieval parameters.

Required artifact files:

• aligned_all.faiss
• all_metadata.jsonl
• config.json

The app does not use aligned_all.vec.

Runtime configuration

By default, the app lists the newest artifact folder under:

s3://131-component-staging/multilingual-static-word-embeddings/stage-6/

Set these Hugging Face Space secrets for S3-compatible storage:

• SE_ACCESS_KEY
• SE_SECRET_KEY
• SE_HOST_URL

Optional environment overrides:

• SPACE_ARTIFACT_S3_URI: exact artifact folder, for example s3://131-component-staging/multilingual-static-word-embeddings/stage-6/multilingual_space_20260521_133953.json
• SPACE_ARTIFACT_S3_PREFIX: prefix to scan for the newest multilingual_space_*.json
• ARTIFACT_CACHE_DIR: local cache directory, default /tmp/multilingual_space_artifacts

Defaults for top_k, min_score, csls_k, candidate_retrieval_k, csls_prefetch_k, and bidirectional consistency are read from config.json.