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| # inference_2.py | |
| from PIL import Image | |
| import numpy as np | |
| def detect_ai_generated_image(img): | |
| # if img is a path, load as array | |
| if isinstance(img, str): | |
| img = np.array(Image.open(img).convert("RGB")) | |
| # 🧠 PLACEHOLDER: fake logic | |
| # Replace with actual AI detection logic or model | |
| mean_pixel = img.mean() | |
| if mean_pixel > 120: | |
| return "Possibly AI-generated" | |
| else: | |
| return "Likely Real" | |