Comments (5)
You introduced an error when you modified the script in this line:
with open(r'C:\Users\...
from seq2seq-chatbot-for-keras.
How to load my data?
When i give the file name in open('data','r'),it is throwing directory is not found error.
When i give the file path(open('file path'),it is throwing syntax error?
I'm in learning stage,do help me @oswaldoludwig.
from seq2seq-chatbot-for-keras.
Just use text = open('C:\Users\...\data.txt', 'r')
.
from seq2seq-chatbot-for-keras.
@oswaldoludwig
When i use above line of code,it throwing me the below error.
How to solve this?
from seq2seq-chatbot-for-keras.
Thanks @oswaldoludwig It worked now!!
But now im facing a new problem.
Using Theano backend.
WARNING (theano.configdefaults): install mkl with conda install mkl-service
: No module named 'mkl'
WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions.
Found 400000 word vectors.
Warning (from warnings module):
File "C:\Users\Anoop\Documents\Seq2seq-Chatbot-for-Keras-master\train_bot.py", line 101
LSTM_encoder = LSTM(sentence_embedding_size, init= 'lecun_uniform')
UserWarning: Update your LSTM
call to the Keras 2 API: LSTM(300, kernel_initializer="lecun_uniform")
Warning (from warnings module):
File "C:\Users\Anoop\Documents\Seq2seq-Chatbot-for-Keras-master\train_bot.py", line 102
LSTM_decoder = LSTM(sentence_embedding_size, init= 'lecun_uniform')
UserWarning: Update your LSTM
call to the Keras 2 API: LSTM(300, kernel_initializer="lecun_uniform")
Traceback (most recent call last):
File "C:\Users\Anoop\Documents\Seq2seq-Chatbot-for-Keras-master\train_bot.py", line 113, in
merge_layer = merge([context_embedding, answer_embedding], mode='concat', concat_axis=1)
TypeError: 'module' object is not callable
How to solve this? Why this is happening?
Thanks in Advance!!
from seq2seq-chatbot-for-keras.
Related Issues (20)
- Parameters of the model ? HOT 1
- limit = l[0][0] - IndexError: index 0 is out of bounds for axis 0 with size 0 HOT 5
- Error while running conversation.py HOT 6
- TypeError: Value passed to parameter 'shape' has DataType float32 not in list of allowed values: int32, int64 HOT 8
- NameError: name 'embedding_matrix' is not defined HOT 3
- TypeError: 'module' object is not callable when executing train_bot.py HOT 4
- enhancement - investigate supplying conda environment.yml / requirements.txt with exported python 2.7.6 dependencies HOT 2
- Not a big deal, but Ubuntu does not like the spaces in the names HOT 4
- Any documentation on how to train it on our own data for the new GAN based algorithm? HOT 1
- eroor while running conversation.py HOT 1
- Any suggestion for large datasets? HOT 1
- how many data
- Python 3.7.x Theano AssertionError when starting the model in conversation.py HOT 2
- training custom data HOT 1
- where did you proposes a persona embedding? HOT 2
- how a new vocabulary file can be generated? HOT 5
- KeyError:Something HOT 4
- File vocabulary_movie HOT 3
- The file seq2seq_model.h5 isnt exist
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from seq2seq-chatbot-for-keras.