tensorflow_chatbot | Tensorflow chatbot demo by @ Sirajology on Youtube | Chat library

by llSourcell Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | tensorflow_chatbot Summary

tensorflow_chatbot is a Python library typically used in Messaging, Chat, Deep Learning, Tensorflow, Neural Network applications. tensorflow_chatbot has no vulnerabilities and it has medium support. However tensorflow_chatbot has 2 bugs and it build file is not available. You can download it from GitHub.

Use [pip] to install any missing dependencies.

Support

Quality

Security

License

Reuse

Support

tensorflow_chatbot has a medium active ecosystem.

It has 1417 star(s) with 819 fork(s). There are 96 watchers for this library.

It had no major release in the last 6 months.

There are 66 open issues and 25 have been closed. On average issues are closed in 57 days. There are 10 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflow_chatbot is current.

Quality

tensorflow_chatbot has 2 bugs (0 blocker, 0 critical, 1 major, 1 minor) and 5 code smells.

Security

tensorflow_chatbot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tensorflow_chatbot code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

License

tensorflow_chatbot does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

tensorflow_chatbot releases are not available. You will need to build from source code and install.

tensorflow_chatbot has no build file. You will be need to create the build yourself to build the component from source.

tensorflow_chatbot saves you 514 person hours of effort in developing the same functionality from scratch.

It has 1207 lines of code, 21 functions and 10 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed tensorflow_chatbot and discovered the below as its top functions. This is intended to give you an instant insight into tensorflow_chatbot implemented functionality, and help decide if they suit your requirements.

Train the model
Get a batch of decoder inputs
Perform a single step
Reads data from source files
Create a vocabulary
Prepare custom data
Create a model
Convert a text file to a list of tokens
Convert a sentence into a list of token ids
Tokenize a sentence
Decodes sentences
Show the index
Return a reply message
Decode a single sentence
Self - test
Read config file

Get all kandi verified functions for this library.

tensorflow_chatbot Key Features

No Key Features are available at this moment for tensorflow_chatbot.

tensorflow_chatbot Examples and Code Snippets

No Code Snippets are available at this moment for tensorflow_chatbot.

Community Discussions

Trending Discussions on tensorflow_chatbot

NameError:name 'create_model' is not defined ....i have tried importing model from keras but it hasnt solved it .how to solve?

UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position 1: invalid start byte

Tensorflow InvalidArgumentError: indices[40] = 2000 0 is not in [0, 20000)

Tensorflow seq2seq tutorial: NoneType object has no attribute 'update'

QUESTION

NameError:name 'create_model' is not defined ....i have tried importing model from keras but it hasnt solved it .how to solve?

Asked 2019-Jun-17 at 05:53

I tried creating a model using tensorflow. When I tried executing it shows me

the other files are in this link------- github.com/llSourcell/tensorflow_chatbot

...

ANSWER

Answered 2019-Jun-16 at 21:11

Okay, it seems like you have copied code but you did not structure it. If create_model() is defined in another file then you have to import it. Have you done that? (i.e. from file_with_methods import create_model). You should consider editing your post and adding more of your code, if you want us to help.

Alternative: You could also clone the github repository(that you shared in your comment) and just change whatever you want to change in the execution.py file. This way you can keep the "hierarchy" that the owner uses and you could add your own code where needed.

Source https://stackoverflow.com/questions/56620409

QUESTION

UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position 1: invalid start byte

Asked 2019-Feb-01 at 07:21

I had built chatbot following this github: https://github.com/llSourcell/tensorflow_chatbot

Also I get data on: https://github.com/suriyadeepan/easy_seq2seq/tree/master/data

I use tensorflow 0.12 with python 3.5. Can someone help me fix this problem: >> Mode : test

...

ANSWER

Answered 2019-Feb-01 at 07:21

Please try to read the data using encoding='unicode_escape'. For example

df= pd.read_csv('file_name.csv',encoding ='unicode_escape')

It worked for me.

Source https://stackoverflow.com/questions/50218503

QUESTION

Tensorflow InvalidArgumentError: indices[40] = 2000 0 is not in [0, 20000)

Asked 2018-Mar-30 at 17:31

I was runnig this code (https://github.com/monkut/tensorflow_chatbot main code in execute.py) on my Windows7 with python 3.5 and tensorflow r0.12 cpu and an error occured after just 300 steps. Then I tried to change the vocabulary size to 30000 and set a checkpiont every 100 steps. With 1 layer of 128 units the error occured after 3900 steps and with 3 layers of 256 units it occured after 5400 steps. What kind of error is that? Is there a way to solve it?

Error:

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ANSWER

Answered 2018-Mar-26 at 13:42

The notation [) means Inclusive Exclusive in interval notation. [ means including that number. ( means excluding that number. the same goes for right parentheses and brackets ie ] & ). For example [0,20000) means from Zero inclusive to 20000 not inclusive. Brackets mean "Yes include this" parenthesis mean "no, don't go all the way up to this number"

Source https://stackoverflow.com/questions/49492740

QUESTION

Tensorflow seq2seq tutorial: NoneType object has no attribute 'update'

Asked 2017-Jun-26 at 19:36

I am trying to follow the tensorflow tutorial from https://www.tensorflow.org/tutorials/seq2seq.

The data seems to load fine but when I initialize the model I get the following error:

...

ANSWER

Answered 2017-Jun-26 at 19:36

as I have already commented here the model are you trying to implement is deprecated. If you want to make it working check the code I've pasted in the issue. Starting from tensorflow 1.1 and 1.2 you have the functions for dynamic decode like tf.nn.bidirectional_dynamic_rnn. It allows you to take into account dynamic sized sequences for free.

I'm creating some examples and I'll post you a working example with the new api.

Source https://stackoverflow.com/questions/44685461

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install tensorflow_chatbot

You can download it from GitHub.
You can use tensorflow_chatbot like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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