main.py

from fastapi import FastAPI, UploadFile, File, HTTPException
from vit_classifier import ViTClassifier
import io
import uvicorn

app = FastAPI(title="ViT Model Deployment")

# Initialize model on startup
print("Initializing model...")
ViTClassifier.get_instance()

@app.get("/")
def read_root():
    return {"status": "online", "message": "ViT Model API is running"}

@app.post("/predict")
async def predict(file: UploadFile = File(...)):
    if not file.content_type.startswith("image/"):
        raise HTTPException(status_code=400, detail="File must be an image")

    try:
        image_data = await file.read()
        image_file = io.BytesIO(image_data)

        classifier = ViTClassifier.get_instance()
        predicted_class, confidence, all_probs = classifier.predict(image_file)

        if predicted_class is None:
            raise HTTPException(status_code=500, detail="Model failed to predict")

        return {
            "status": "success",
            "prediction": predicted_class,
            "confidence": confidence,
            "probabilities": all_probs
        }

    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=8000)