features/nepali_text_classifier/routes.py

from slowapi import Limiter
from config import ACCESS_RATE
from .controller import nepali_text_analysis
from .inferencer import classify_text
from fastapi import APIRouter, Request, Depends, HTTPException
from fastapi.security import HTTPBearer
from slowapi import Limiter
from slowapi.util import get_remote_address
from pydantic import BaseModel
router = APIRouter()
limiter = Limiter(key_func=get_remote_address)
security = HTTPBearer()

# Input schema
class TextInput(BaseModel):
    text: str

@router.post("/analyse")
@limiter.limit(ACCESS_RATE)
async def analyse(request: Request, data: TextInput, token: str = Depends(security)):
    # Token is available as `token.credentials`, add validation if needed
    result = classify_text(data.text)
    return result

@router.get("/health")
@limiter.limit(ACCESS_RATE)
def health(request: Request):
    return {"status": "ok"}