fix 8

app.py

@@ -1,10 +1,9 @@
 import numpy as np
 import gradio as gr
 from tensorflow.keras.models import load_model
-from keras.losses import MeanSquaredError
 
 # Carga los modelos previamente entrenados
-autoencoder = load_model("models/autoencoder.h5", custom_objects={"mse": MeanSquaredError()})
+autoencoder = load_model("models/autoencoder.h5")
 decoder = load_model("models/decoder.h5")
 
 latent_dim = 128