model/model_loader.py

import tensorflow as tf
import streamlit as st
from huggingface_hub import hf_hub_download
from config import HF_REPO_ID,HF_MODEL_FILENAME
from utils.logger import setup_logger

logger=setup_logger('ModelLoader')

@st.cache_resource
def load_model():
    try:
        logger.info("Downloading model form hugging Face Hub")
        model_path=hf_hub_download(
            repo_id=HF_REPO_ID,
            filename=HF_MODEL_FILENAME,
            repo_type='model'
        )
        logger.info("Loading Tensorflow model")
        model=tf.keras.models.load_model(model_path)
        model.compile(
            optimizer="adam",
            loss="categorical_crossentropy",
            metrics=["accuracy"]
        )
        logger.info("Model LOad Sucessfully")
        return model

    except Exception as e:
        logger.exception("Failed to load model")
        st.error("❌ Failed to load the ML model. Please try again later.")
        raise e