如何解决使用 Tensorflow 构建 ChatBot 时输入属性错误
我目前正在使用 Python 和 Tensorflow 构建一个简单的 chatbot。但是,我不断收到属性错误:enter。请问有人可以看一下吗?谢谢。 我使用的是最新版本的 VSC 和 macOS 10.15.7。
这是我的代码:
import nltk
from nltk.stem.lancaster import Lancasterstemmer
stemmer = Lancasterstemmer()
import numpy
import tflearn
import tensorflow as tf
import random
import json
import pickle
with open("/Users/Users/Untitled/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 != "?"]
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 doc]
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,output),f)
tf.reset_default_graph()
net = tflearn.input_data(shape=[None,len(training[0])])
net = tflearn.fully_connected(net,8)
net = tflearn.fully_connected(net,len(output[0]),activation="softmax")
net = tflearn.regression(net)
with tflearn.DNN(net) as model:
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()
这里是错误:
Traceback (most recent call last):
File "/Users/Users/Untitled/main.py",line 76,in <module>
with tflearn.DNN(net) as model:
AttributeError: __enter__
再一次,如果有人看我的代码,我会很感激。
再次感谢。
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