app.py

import malaya
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
import uvicorn
import os

app = FastAPI(title="Jawi Transliteration API")

# Load the modern Jawi model (T5-based)
# On first run, this downloads ~200MB of weights
try:
    print("Loading Jawi model... this may take a moment.")
    model = malaya.jawi.huggingface()
    print("Model loaded successfully!")
except Exception as e:
    print(f"Failed to load model: {e}")
    model = None

class RequestData(BaseModel):
    text: str

@app.get("/")
def health_check():
    return {"status": "ready" if model else "loading/error"}

@app.post("/convert")
async def convert_to_jawi(data: RequestData):
    if not model:
        raise HTTPException(status_code=503, detail="Model not loaded")
    
    if not data.text.strip():
        return {"jawi": ""}

    try:
        # result is a list, we take the first item
        result = model.generate([data.text], to_lang='jawi')
        return {
            "rumi": data.text,
            "jawi": result[0]
        }
    except Exception as e:
        return {"error": str(e)}

if __name__ == "__main__":
    # HF Spaces uses port 7860 by default
    port = int(os.environ.get("PORT", 7860))
    uvicorn.run(app, host="0.0.0.0", port=port)