Image Classification
PyTorch
English
resnet
ai-detection
imager
File size: 827 Bytes
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"""
Optional FastAPI microservice for Imager-1-Tiny.
Run: uvicorn src.server:app --host 0.0.0.0 --port 8000
"""
from fastapi import FastAPI, File, UploadFile
from fastapi.responses import JSONResponse
from io import BytesIO
from PIL import Image

from .config import load_model, predict

app = FastAPI(title="Imager-1-Tiny", version="1.0.0")

_model = None


def get_model():
    global _model
    if _model is None:
        _model = load_model()
    return _model


@app.get("/")
def root():
    return {"name": "imager-1-tiny", "status": "ok"}


@app.get("/health")
def health():
    return {"status": "healthy"}


@app.post("/predict")
async def predict_endpoint(file: UploadFile = File(...)):
    image = Image.open(BytesIO(await file.read()))
    result = predict(image, model=get_model())
    return JSONResponse(result)