Python （已解决）如何解决；运行时错误：试图使用关闭的会话；

修好了

使用上面的解决方案

我最近刚开始python编程，并决定承担一个聊天机器人培训模型项目。我一开始很成功，但是，我决定将main.py文件的名称改为另一个名称“oliveirachat.py”，并在json文件中添加了一些响应链接，以便对模型进行训练

这是以下代码的一部分：

with open("responselinks.json") as file:
data = json.load(file)

try:
    #when new links are added to responselinks, remove the hash for the x below
    with open("data.pickle","rb") as f:
        statements, labels, training, output = pickle.load(f)

except: 
    
    ## Rest of the code here## 

    training = numpy.array(training)
    output = numpy.array(output)

    with open("data.pickle","wb") as f:
        pickle.dump((statements, labels, training, output), f)

ops.reset_default_graph() #This is the model for the AI training

net = tflearn.input_data(shape=[None, len(training[0])]) #we start with an input data which has the length of our training data
net = tflearn.fully_connected(net, 8) #2 hidden layers of 8 neurons fully connected 
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, len(output[0]), activation="softmax")   #softmax function allows you to get probability for each neuron in this layer which will be our output for the network
net = tflearn.regression(net)

model = tflearn.DNN(net) #DNN type of neural network, uses the network we defined above

try:
    model.load("model.tflearn")
except:
    model.fit(training, output, n_epoch=1000, batch_size=8, show_metric=True) #epochs are the data being visualised, the hope is to expose the model to visualise the same data 1000 times  
    model.save("model.tflearn")

##Some more code here defining the last 2 functions for conversation here

此时问题开始出现：

我尝试删除文件夹中的pickle文件和一些其他数据，但是

很抱歉让这篇文章比它应该的要长一点。我是新来的，所以我没有包含其余的代码，而是只包含了我认为问题可能存在的部分，因为它第一次起作用