app.py

from fastapi import FastAPI
from pydantic import BaseModel
import spacy

app = FastAPI()
nlp = spacy.blank("en")

class TokenizeRequest(BaseModel):
    text: str

@app.post("/tokenize")
async def tokenize_text(request: TokenizeRequest):
    doc = nlp(request.text)
    tokens = []
    for token in doc:
        tokens.append({
            "text": token.text,
            "start_char": token.idx,
            "end_char": token.idx + len(token.text),
            "start": token.i,
            "end": token.i
        })
    return tokens