Python libs are - tflearn, tensorflow, numpy
I need some help to fix my errors, please read the code and errors if you can help me, I am stuck.
The errors are below, this is my code -
import nltk
from nltk.stem.lancaster import LancasterStemmer
stemmer = LancasterStemmer()
import numpy
import tflearn
import tensorflow
import random
import json
import pickle
with open("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, 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()
These are my errors:
C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) curses is not supported on this machine (please install/reinstall curses for an optimal experience) WARNING: Logging before flag parsing goes to stderr. W0805 19:32:44.580796 8632 deprecation_wrapper.py:119] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\helpers\summarizer.py:9: The name tf.summary.merge is deprecated. Please use tf.compat.v1.summary.merge instead.
W0805 19:32:44.581794 8632 deprecation_wrapper.py:119] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\helpers\trainer.py:25:The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.
W0805 19:32:44.596753 8632 deprecation_wrapper.py:119] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\collections.py:13:The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.
W0805 19:32:44.604754 8632 deprecation_wrapper.py:119] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\config.py:123:The name tf.get_collection is deprecated. Please use tf.compat.v1.get_collection instead.
W0805 19:32:44.612710 8632 deprecation_wrapper.py:119] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\config.py:129:The name tf.add_to_collection is deprecated. Please use tf.compat.v1.add_to_collection instead.
W0805 19:32:44.613707 8632 deprecation_wrapper.py:119] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\config.py:131:The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.
W0805 19:32:44.617724 8632 deprecation_wrapper.py:119] From c:/Users/iddos.DESKTOP-JTOR36M/Desktop/work/: The nametf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead.
W0805 19:32:44.619718 8632 ] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\initializations.py:174:calling TruncatedNormal.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version. Instructions for updating: Call initializer instance with the dtype argument instead of passing it to the constructor W0805 19:32:44.666565 8632 deprecation_wrapper.py:119] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\optimizers.py:238: The name tf.train.AdamOptimizer is deprecated. Please use tf.compat.v1.train.AdamOptimizer instead.
W0805 19:32:44.671582 8632 ] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\objectives.py:66:calling reduce_sum_v1 (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version. Instructions for updating: keep_dims is deprecated, use keepdims instead 2019-08-05 19:32:44.696052: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 W0805 19:32:44.740369 8632 deprecation_wrapper.py:119] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\summaries.py:46: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.
W0805 19:32:44.786268 8632 ] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\math_grad.py:1250:add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where W0805 19:32:44.936373 8632 deprecation_wrapper.py:119] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\helpers\trainer.py:134: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.
W0805 19:32:45.144679 8632 ] From C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\saver.py:1276:checkpoint_exists (from .checkpoint_management) is deprecated and will be removed in a future version. Instructions for updating: Use standard file APIs to check for files with this prefix. --------------------------------- Run id: WZ1452 Log directory: /tmp/tflearn_logs/ --------------------------------- Training samples: 26 Validation samples: 0 -- Traceback (most recent call last): File "c:/Users/iddos.DESKTOP-JTOR36M/Desktop/work/", line 78, in model.load("model.tflearn") File "C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\models\dnn.py", line 308, in load self.trainer.restore(model_file, weights_only, **optargs) File "C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\helpers\trainer.py", line 490, in restore self.restorer.restore(self.session, model_file) File "C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\saver.py", line 1278, in restore _text(save_path)) ValueError: The passed save_path is not a valid checkpoint: C:\Users\iddos.DESKTOP-JTOR36M\Desktop\work\model.tflearn
During handling of the above exception, another exception occurred: Traceback (most recent call last): File "c:/Users/iddos.DESKTOP-JTOR36M/Desktop/work/", line 80, in <module> (training, output, n_epoch=1000, batch_size=8, show_metric=True) File "C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\models\dnn.py",line 216, in fit callbacks=callbacks) File "C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\helpers\trainer.py", line 339, in fit show_metric) File "C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\helpers\trainer.py", line 816, in _train _training(True, session=self.session) File "C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tflearn\config.py", line 95, in is_training tf.get_collection('is_training_ops')[0].eval(session=session) File "C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 731, in eval return _eval_using_default_session(self, feed_dict, self.graph, session) File "C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 5579, in _eval_using_default_session return (tensors, feed_dict) File "C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 950, in run run_metadata_ptr) File "C:\Users\iddos.DESKTOP-JTOR36M\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1096, in _run raise RuntimeError('Attempted to use a closed Session.') RuntimeError: Attempted to use a closed Session.
