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| from fastapi import FastAPI | |
| import onnxruntime as ort | |
| from huggingface_hub import hf_hub_download | |
| app = FastAPI() | |
| # تحميل النموذج عند بدء التشغيل | |
| MODEL_PATH = hf_hub_download(repo_id="immich-app/antelopev2", filename="model.onnx") | |
| ort_session = ort.InferenceSession(MODEL_PATH) | |
| def read_root(): | |
| return {"message": "Antelope v2 Model is running!"} | |
| def predict(data: dict): | |
| # استبدل هذا بالمنطق الفعلي لتشغيل النموذج | |
| return {"prediction": "dummy result"} | |