[我是编码的新手，并且正在使用Tim的聊天机器人教程来学习技术。我不知道如何解决此错误

Question

    import nltk
from nltk.stem.lancaster import LancasterStemmer
stemmer = LancasterStemmer()

import numpy
import tflearn
import tensorflow
import random
import json
import pickle

with open("/Users/Jerrodthompson/Documents/intents.json") as file:
    data = json.load(file)

try:
    with open("data.pickle", "rb") as f:
        words, labels, training, output = pickle.load(f)
except:
    words = []
    labels = []
    docs_x = []
    docs_y = []

    for intent in data["intents"]:
        for pattern in intent["patterns"]:
            wrds = nltk.word_tokenize(pattern)
            words.extend(wrds)
            docs_x.append(wrds)
            docs_y.append(intent["tag"])

        if intent["tag"] not in labels:
            labels.append(intent["tag"])


    words = [stemmer.stem(w.lower()) for w in words if w not in "?"]
    words = sorted(list(set(words)))

    labels = sorted(labels)

    training = []
    output = []

    out_empty = [0 for _ in range(len(labels))]

    for x, doc in enumerate(docs_x):
        bag = []

        wrds = [stemmer.stem(w.lower()) for w in words if w != "?"]

        for w in words:
            if w in wrds:
                bag.append(1)
            else:
                bag.append(0)

        output_row = out_empty[:]
        output_row[labels.index(docs_y[x])] = 1

        training.append(bag)
        output.append(output_row)

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

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

tensorflow.reset_default_graph()

net = tflearn.input_data(shape=[None, len(training[0])])
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, len(output[0]), activation="softmax")
net = tflearn.regression(net)

model = tflearn.DNN(net)

try:
    model.load("model.tflearn")
except:
    model.fit(training, output, n_epoch=1000, batch_size=8, show_metric=True)
    model.save("model.tflearn")

def bag_of_words(s, words):
    bag = [0 for _ in range(len(words))]

    s_words = nltk.word_tokenize(s)
    s_words = [stemmer.stem(word.lower()) for word in s_words]

    for se in s_words:
        for i, w in enumerate(words):
            if w == se:
                bag[i] = 1

    return numpy.array(bag)

def chat():
    print("Start talking with the bot (type quit to stop!")
    while True:
        inp = input("You: ")
        if inp.lower() == "quit":
            break

        results = model.predict([bag_of_words(inp, words)])
        results_index = numpy.argmax(results)
        tag = labels[results_index]

        for tg in data["intents"]:
            if tg['tag'] == tag:
               responses = tg['responses']
        print(random.choice(responses))

chat()

错误代码：

WARNING:tensorflow:From /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/collections.py:13: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.

警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/main.py:70：不建议使用tf.reset_default_graph名称。请改用tf.compat.v1.reset_default_graph。

警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/layers/core.py:66：名称tf.placeholder已过时。请改用tf.compat.v1.placeholder。

警告：张量流：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/layers/core.py:69：名称tf.add_to_collection已弃用。请改用tf.compat.v1.add_to_collection。

警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/initializations.py:173：调用TruncatedNormal。init（来自tensorflow.python。 dtype已弃用ops.init_ops），并将在以后的版本中将其删除。更新说明：使用dtype参数调用初始化程序实例，而不是将其传递给构造函数警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/variables.py:44：名称tf.get_variable已弃用。请改用tf.compat.v1.get_variable。

警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/optimizers.py:238：不建议使用名称tf.train.AdamOptimizer。请改用tf.compat.v1.train.AdamOptimizer。

警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/layers/estimator.py:96：名称tf.get_collection已弃用。请改用tf.compat.v1.get_collection。

[警告​​：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/objectives.py:114：使用keep_dims调用reduce_sum_v1（来自tensorflow.python.ops.math_ops）已弃用，并将在以后的版本中删除。更新说明：不建议使用keep_dims，请改用keepdims警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/objectives.py:118：建议不要使用名称tf.log。请改为使用tf.math.log。

警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/layers/estimator.py:141：名称tf.trainable_variables已弃用。请改用tf.compat.v1.trainable_variables。

警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/helpers/trainer.py:457：名称tf.get_default_graph已弃用。请改用tf.compat.v1.get_default_graph。

警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/config.py:130：名称tf.assign已弃用。请改用tf.compat.v1.assign。

警告：tensorflow：来自/Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/helpers/trainer.py:95：不建议使用名称tf.Session。请改用tf.compat.v1.Session。

2020-01-11 13：40：33.068166：我tensorflow / core / platform / cpu_feature_guard.cc：142]您的CPU支持该TensorFlow二进制文件未编译为使用的指令：AVX2 FMA2020-01-11 13：40：33.085284：我tensorflow / compiler / xla / service / service.cc：168] XLA服务0x7fbfbc0cbc80已针对平台主机初始化（这不保证将使用XLA）。设备：2020-01-11 13：40：33.085301：I tensorflow / compiler / xla / service / service.cc：176] StreamExecutor设备（0）：主机，默认版本追溯（最近一次通话）：文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/main.py”，第78行，在模型= tflearn.DNN（net）文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/models/dnn.py”，第57行，位于init中会话=会话）文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/helpers/trainer.py”，第111行，位于init中clip_gradients）文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/helpers/trainer.py”，第561行，在initialize_training_ops中ema_num_updates = self.training_steps）文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/summaries.py”，第243行，位于add_loss_summaries中summaries_collection_key）在get_summary的第46行，文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tflearn/summaries.py”summ = tf.scalar_summary（标签，值）文件“ /Users/Jerrodthompson/PycharmProjects/justanotherchatbotattempt/venv/lib/python3.6/site-packages/tensorflow_core/python/util/module_wrapper.py”，行193，位于[[getattrattr = getattr（self._tfmw_wrapped_module，名称）AttributeError：模块'tensorflow'没有属性'scalar_summary'

Answer 1

with

tf.compat.v1.GraphKeys

根据提示，错误应该消失。

您的代码中没有错误，但是您使用的库在您可以使用的第一部分中已经很老了

Answer 2

WARNING:tensorflow

为此，您必须在]中编辑代码>

~/.local/lib/python3.7/site-packages/LibrabrName
或者如果只是不想看到警告并且不关心它们的使用，则>]
import os
os.system("clear")
进口结束时