| --- |
| title: UWS API |
| emoji: 🏆 |
| colorFrom: red |
| colorTo: red |
| sdk: docker |
| pinned: false |
| --- |
| |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
|
|
| ## API |
|
|
| The Docker build downloads the official fastText Uyghur Common Crawl binary model, extracts it to `/app/models/cc.ug.300.bin`, and loads it once when the FastAPI app starts. |
|
|
| Model source: https://fasttext.cc/docs/en/crawl-vectors |
|
|
| ### Query request |
|
|
| ```bash |
| curl --get "https://<your-space>.hf.space/similarity" \ |
| --data-urlencode "word1=سىزغۇچ" \ |
| --data-urlencode "word2=نان" |
| ``` |
|
|
| ```bash |
| curl --get "https://piyazon-uws-api.hf.space/similarity" \ |
| --data-urlencode "word1=سىزغۇچ" \ |
| --data-urlencode "word2=نان" |
| ``` |
|
|
| ### JSON request |
|
|
| ```bash |
| curl -X POST "https://<your-space>.hf.space/similarity" \ |
| -H "Content-Type: application/json" \ |
| -d '{"word1":"سىزغۇچ","word2":"نان"}' |
| ``` |
|
|
| Both endpoints return a JSON number, for example: |
|
|
| ```json |
| 42.123456 |
| ``` |
|
|
