| from keras.models import model_from_json | |
| # Step 1: Load the model architecture from JSON | |
| with open("model/model_config.json", "r") as json_file: | |
| model_json = json_file.read() | |
| model = model_from_json(model_json) | |
| # Step 2: Load weights into the model | |
| model.load_weights("model/model_weights.h5") | |
| # Step 3: Save the full model as a single .h5 file | |
| model.save("clone_tts_model.h5") | |
| print("Successfully saved the full model as clone_tts_model.h5") |