Update app.py

app.py

@@ -77,7 +77,7 @@ model.add(tf.keras.layers.Dense(units=36,activation='softmax'))
 model.compile(optimizer='adam',loss='categorical_crossentropy',metrics=['accuracy',"mean_absolute_error","Precision","Recall",tf.keras.metrics.AUC()])
 
 #Entrenar el modelo desde la ultima epoca almacenada usando el parametro initial_epoch
-history = model.fit(x=training_set,validation_data=validation_set, epochs=5, initial_epoch=max_num, callbacks=[tensorboard_callback, checkpoint_callback])
+history = model.fit(x=training_set,validation_data=validation_set, epochs=5, initial_epoch=10)
 
 #Precisión del conjunto de entrenamiento
 train_loss, train_acc = model.evaluate(training_set)