not able to get data from csv file to train network in "train-theano.py"

[totial]

Hey, Im having troubles getting the data to train the RNN. Specifically on this line:
sentences = itertools.chain(*[nltk.sent_tokenize(x[0].decode('utf-8').lower()) for x in reader])
if I open the file as 'rb' i get the error:

_csv.Error: iterator should return strings, not bytes (did you open the file in text mode?)

and if I open it up with 'r' i get:

sentences = itertools.chain(*[nltk.sent_tokenize(x[0].decode('utf-8').lower()) for x in reader])

AttributeError: 'str' object has no attribute 'decode'

Im not sure wich is the very basic idea to train the NN with strings or binary codes (guess binary codes).
thanks for your time!

[GoingMyWay]

Maybe your Python version is 3.x, the code below runs without error under Python 2.7

with open('data/reddit-comments-2015-08.csv', 'rb') as f:
    reader = csv.reader(f, skipinitialspace=True)
    reader.next()
    # Split full comments into sentences
    sentences = itertools.chain(*[nltk.sent_tokenize(x[0].decode('utf-8').lower()) for x in reader])
    # Append SENTENCE_START and SENTENCE_END
    sentences = ["%s %s %s" % (sentence_start_token, x, sentence_end_token) for x in sentences]

[chrischang80]

You can remove ".decode('utf-8')" and try again.

[Pavonlo]

You can remove ".decode('utf-8')" and try again.

Yes, you must remove this but a couple of other changes are also required so that entire line becomes -
with open('data/reddit-comments-2015-08.csv', 'rt', encoding="utf8") as f: