from fastapi import FastAPI, File, UploadFile
from fastapi.responses import JSONResponse
from fastapi.middleware.cors import CORSMiddleware
from PIL import Image
import io

from pathlib import Path
from model import YOLOModel
import shutil

yolo = YOLOModel()

UPLOAD_FOLDER = Path("./uploads")
UPLOAD_FOLDER.mkdir(exist_ok=True)

app = FastAPI()

@app.post("/upload")
async def upload_image(image: UploadFile = File(...)):
    # print(f'\n\t\tUPLOADED!!!!')
    try:
        file_path = UPLOAD_FOLDER / image.filename
        with file_path.open("wb") as buffer:
            shutil.copyfileobj(image.file, buffer)
        # print(f'Starting to pass into model, {file_path}')
        # Perform YOLO inference
        predictions = yolo.predict(str(file_path))
        print(f'\n\n\n{predictions}\n\n\ \n\t\t\t\tare predictions')
        # Clean up uploaded file
        file_path.unlink()  # Remove file after processing
        return JSONResponse(content={"items": predictions})
    

    except Exception as e:
        return JSONResponse(content={"error": str(e)}, status_code=500)

# code to accept the localhost to get images from
app.add_middleware(
    CORSMiddleware,
    allow_origins=["http://192.168.56.1:3000", "http://192.168.56.1:3001"],
    allow_methods=["*"],
    allow_headers=["*"],
)

if __name__ == "__main__":
    import uvicorn
    uvicorn.run("app:app", host="0.0.0.0", port=7860, reload=True)