loader.py

import torch
import gc
import open_clip

class ModelLoader:
    def __init__(self):
        self.biomed_model = None
        self.preprocess = None

    def load_biomed_clip(self):
        """Universal Zero-Shot Auditor (BiomedCLIP)"""
        if self.biomed_model is None:
            print("🔄 Loading BiomedCLIP Universal Auditor...")
            model, _, preprocess = open_clip.create_model_and_transforms(
                'hf-hub:microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224'
            )
            self.biomed_model = model.to("cuda").eval()
            self.preprocess = preprocess
        return self.biomed_model, self.preprocess

    def clear_vram(self):
        """Safety flush to ensure Council stability on T4."""
        gc.collect()
        if torch.cuda.is_available():
            torch.cuda.empty_cache()

# 👇 THIS IS THE CRUCIAL LINE THAT WAS MISSING 👇
loader = ModelLoader()