app.py

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

app = FastAPI()

@app.get("/")
def root():
    return {"message": "API is running"}

@app.post("/predict")
async def predict(img: UploadFile = File(...)):
    image = Image.open(io.BytesIO(await img.read()))
    
    # Run your ML model here
    result = "Anomaly: Shadowing"  # Replace this with your prediction logic
    
    return JSONResponse(content={"result": result})