features/nepali_text_classifier/routes.py

from slowapi import Limiter
from config import ACCESS_RATE
from .controller import handle_file_sentence, handle_sentence_level_analysis, nepali_text_analysis
from .inferencer import classify_text
from fastapi import APIRouter, File, Request, Depends, HTTPException, UploadFile
from fastapi.security import HTTPBearer
from slowapi import Limiter
from slowapi.util import get_remote_address
from pydantic import BaseModel
from .controller import handle_file_upload
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)):
    result = classify_text(data.text)
    return result

@router.post("/upload")
@limiter.limit(ACCESS_RATE)
async def upload_file(request:Request,file:UploadFile=File(...),token:str=Depends(security)):
    return await handle_file_upload(file)

@router.post("/analyse-sentences")
@limiter.limit(ACCESS_RATE)
async def upload_file(request:Request,data:TextInput,token:str=Depends(security)):
    return await  handle_sentence_level_analysis(data.text)

@router.post("/file-sentences-analyse")
@limiter.limit(ACCESS_RATE)
async def analyze_sentance_file(request: Request, file: UploadFile = File(...), token: str = Depends(security)):
    return await handle_file_sentence(file)


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