| --- |
| 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`. |
|
|
