app.py

import numpy as np

# =========================
# 🟡 تحويل ملف .h إلى model.tflite
# =========================
def h_to_tflite_binary():
    from mrk_model import mrk_model_data, mrk_model_data_len

    with open("model.tflite", "wb") as f:
        f.write(bytes(mrk_model_data[:mrk_model_data_len]))

    print("✔ model.tflite created from .h")


# =========================
# 📦 تحميل الموديل (بدون TensorFlow)
# =========================
def load_model():
    try:
        with open("model.tflite", "rb") as f:
            data = f.read()
        print("✔ model loaded, size:", len(data))
        return data
    except:
        print("⚠ model.tflite not found, creating from .h...")
        h_to_tflite_binary()

        with open("model.tflite", "rb") as f:
            return f.read()


# =========================
# 🚀 MAIN
# =========================
if __name__ == "__main__":
    model = load_model()

    # اختبار بسيط (مش inference حقيقي)
    print("First bytes:", model[:20])