Chatbot in 200 lines of code using TensorLayer

Related tags

Deep Learningpythonnlpchatbottensorflowchatbotcorpuslstmrnntensorlayer
Overview

Seq2Seq Chatbot

This is a 200 lines implementation of Twitter/Cornell-Movie Chatbot, please read the following references before you read the code:

Prerequisites

Model


Training

python3 main.py

Results

Query > happy birthday have a nice day
 > thank you so much
 > thank babe
 > thank bro
 > thanks so much
 > thank babe i appreciate it
Query > donald trump won last nights presidential debate according to snap online polls
 > i dont know what the fuck is that
 > i think he was a racist
 > he is not a racist
 > he is a liar
 > trump needs to be president
Comments
  • [WIP] Fix error in PR #16 Inference mode and TF compatibility

    [WIP] Fix error in PR #16 Inference mode and TF compatibility

    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

    opened by luomai 6
  • No module named 'tensorlayer.models.seq2seq'

    No module named 'tensorlayer.models.seq2seq'

    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'

    opened by geongm 5
  • Change seq2seq import names

    Change seq2seq import names

    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

    opened by egens 4
  • TL2.0

    TL2.0

    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

    opened by ArnoldLIULJ 3
  • Inference mode and TF compatibility

    Inference mode and TF compatibility

    • 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

    opened by pskrunner14 3
  • Using the Chatbot

    Using the Chatbot

    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

    opened by cpro90 3
  • Training is taking too much time

    Training is taking too much time

    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.

    opened by aqeellegalinc 3
  • Inference mode and TF compatibility (#16)

    Inference mode and TF compatibility (#16)

    @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?

    opened by luomai 2
  • Fixes TL global variables initializer deprecated issue and Code readability

    Fixes TL global variables initializer deprecated issue and Code readability

    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

    opened by pskrunner14 2
  • Can't import data

    Can't import data

    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'

    opened by georgexli 2
  • No module named twitter

    No module named 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^

    opened by MProtoss 1
  • ModuleNotFoundError: No module named 'data.twitter'; 'data' is not a package

    ModuleNotFoundError: No module named 'data.twitter'; 'data' is not a package

    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

    opened by mhmitalihalder 0
  • How could I get the

    How could I get the "thought vector" using TensorLayer?

    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).

    opened by munichong 0
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