Hey @pskrunner14

Thanks for the great PR! We have rolled back the PR you recently submitted as the PR contains the error. Could you please have a look on it and we can merge it again? You can create a PR from your fork again or directly modify from here.

Cheers, Luo

Can someone share with me how to resolve this error? Thanks.

Traceback (most recent call last): File "D:\ChatBot\seq2seq-chatbot-master\main.py", line 11, in from tensorlayer.models.seq2seq import Seq2seq ModuleNotFoundError: No module named 'tensorlayer.models.seq2seq'

Had the #37 problem. It looks like on in current version of tensorlayer import names changed.

These imports work with tensorflow 2.0.0-beta1 tensorlayer 2.1.0

Update model compatible with TensorLayer2.0. Rewrite the loss. cross_entropy_seq_with_mask and cross_entropy_seq. Need to run to see if it converges and produce desirable results

• Moved Inference code to a function.
• Added optional arguments including running script in inference mode [usage python main.py --help].
• Added tqdm progress bar for info while training.
• Made the code compatible with TF v1.10.0 and TL v1.10.1.
• Changed tf.contrib.rnn.BasicLSTMCell to tf.nn.rnn_cell.LSTMCell since the former is deprecated.
• Moved session config to global scope.
• Refactored code into relevant functions and reordered them so that the higher-level ones appear earlier in the code.
• Renamed script to main.py for ease of use.
• Updated README to add training and inference usage commands.
• Added requirements.txt file.
• Changed n.npz to model.npz since it is more standard.

Note: Fixes #12 and #15

Hi there,

I trained the data for a few days and now the samples are returning good results to the predefined "Happy Birthday" and "Trump" requests.

Great job by you. Thanks so far.

Do you already have a small python program for using the chatbot? If I write a message, the chatbot should return a single answer.

Thanks Chris

Training on CPU is taking too much time, so do you have any estimate how much time it will take? I have executed this 12 hours ago and now i am on just "Epoch[2/50] step:[600/2852] loss:5.684645 took:9.62770s". Can you please help me to boost this training.

@pskrunner14

We have rolled back the PR you recently submitted as the PR contains the error. Could you please have a look on it and we can merge it again?

Fixed TensorLayer initialize global vars deprecated issue #13, changed learning rate to 0.001 for faster convergence, improved code readability and removed redundant comments and code

ModuleNotFoundError Traceback (most recent call last) in () 8 9 ###============= prepare data ---> 10 from data.twitter import data 11 metadata, idx_q, idx_a = data.load_data(PATH='data/twitter/') # Twitter 12 # from data.cornell_corpus import data

ModuleNotFoundError: No module named 'data.twitter'

File "main_simple_seq2seq.py", line 18, in from data.twitter import data ImportError: No module named twitter

Did I miss some files？ Can you please help me？Many thanks^ o^

I am trying to write code for Chat Box, but encountering the error "ModuleNotFoundError: No module named 'data.twitter'; 'data' is not a package" when trying to execute "from data.twitter import data".

Please suggest , how to resolve the issue?

note: I am working on following environment: Python is 3.6 V Tensorflow : 2.0 Tensorlayer: 2.2 python-twitter

I am using the seq2seq model as an autoencoder. Given a test paragraph, I'd like to get the thought vector (using the terminology in the figure of README.md).