Update app.py

app.py

@@ -76,11 +76,6 @@ 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()])
 
-%load_ext tensorboard
-#!rm -rf ./logs/
-log_dir = "logs/fit/" + datetime.datetime.now().strftime("%Y%m%d-%H%M%S")
-tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)
-
 #Entrenar el modelo desde la ultima epoca almacenada usando el parametro initial_epoch
 history = model.fit(x=training_set,validation_data=validation_set, epochs=epochs, initial_epoch=max_num, callbacks=[tensorboard_callback, checkpoint_callback])