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wjm55
Refactor tokenize endpoint to use Pydantic model for request validation and update README.md examples to reflect changes in API usage
032494e
| title: Tokenizer | |
| emoji: ๐ | |
| colorFrom: green | |
| colorTo: yellow | |
| sdk: docker | |
| pinned: false | |
| # Tokenizer API | |
| A simple API for tokenizing text using spaCy. | |
| ## Usage Examples | |
| ### Using curl | |
| ```bash | |
| curl -X POST "https://theirstory-tokenizer.hf.space/tokenize" \ | |
| -H "Content-Type: application/json" \ | |
| -H "accept: application/json" \ | |
| -d '{"text": "Hello world"}' | |
| ``` | |
| ### Using Python | |
| ```python | |
| import requests | |
| response = requests.post( | |
| "https://theirstory-tokenizer.hf.space/tokenize", | |
| json={"text": "Hello world"}, | |
| headers={"accept": "application/json"} | |
| ) | |
| tokens = response.json() | |
| print(tokens) | |
| ``` | |
| ### Using JavaScript | |
| ```javascript | |
| const response = await fetch('https://theirstory-tokenizer.hf.space/tokenize', { | |
| method: 'POST', | |
| headers: { | |
| 'Content-Type': 'application/json', | |
| 'accept': 'application/json' | |
| }, | |
| body: JSON.stringify({ | |
| text: 'Hello world' | |
| }) | |
| }); | |
| const tokens = await response.json(); | |
| console.log(tokens); | |
| ``` | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |