| import os | |
| os.environ["KERAS_BACKEND"] = "tensorflow" | |
| import keras | |
| from huggingface_hub import hf_hub_download | |
| from PIL import Image | |
| import numpy as np | |
| # 1. Download the model file | |
| print("--- Downloading model... ---") | |
| model_path = hf_hub_download( | |
| repo_id="VeduCo/D-Shepard-p1-57", | |
| filename="ShepardsGift_final_model.keras" # Important: Use the correct filename | |
| ) | |
| # 2. Load the model | |
| model = keras.saving.load_model(model_path) | |
| print("--- Model loaded successfully! ---") | |
| model.summary() | |