ChatLearner | chatbot implemented in TensorFlow | Chat library

by bshao001 Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ChatLearner Summary

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

A chatbot implemented in TensorFlow based on the new sequence to sequence (NMT) model, with certain rules seamlessly integrated. The core of ChatLearner (Papaya) was built on the NMT model(which has been adapted here to fit the needs of a chatbot. Due to the changes made on tf.data API in TensorFlow 1.4 and many other changes since TensorFlow 1.12, this ChatLearner version only supports TF version 1.4 through 1.11. Easy updates can be made in tokenizeddata.py file if you need to support TensorFlow 1.12. Before starting everything else, you may want to get a feeling of how ChatLearner behaves. Take a look at the sample conversation below or here, or if you prefer to try my trained model, download it here. Unzip the downloaded .rar file, and copy the Result folder into the Data folder under your project root. A vocab.txt file is also included in case I update it without updating the trained model in the future.

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ChatLearner has a low active ecosystem.

It has 535 star(s) with 208 fork(s). There are 51 watchers for this library.

It had no major release in the last 6 months.

There are 8 open issues and 75 have been closed. On average issues are closed in 14 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ChatLearner is current.

Quality

ChatLearner has 0 bugs and 0 code smells.

Security

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

ChatLearner code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ChatLearner is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

Installation instructions are not available. Examples and code snippets are available.

It has 4041 lines of code, 236 functions and 52 files.

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

Top functions reviewed by kandi - BETA

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

Generate a vocabulary file
Get the current path
Write data to the file
Train the model
Calculate learning rate based on perplexity
Train a single training step
Write a cleaned list of conversations
Return a formatted line
Clean the comments from the REDDIT_FILE
Get the results from the request
Create the WSDL document
Write the cleaned conversations
Parse the input file
Preprocess the data files from the corpus
Checks if the caller name matches the user name
Checks if the given sentence is not valid
Creates bot
Checks if the user name matches the user name
Check if not match the given sentence
Process the soap request
Executes a pending action and reply message
Build the graph
Reply to a session
Updates the user name and reply to the bot
Create an RNN cell
Continue the last topic
Reply to a given session
Convert an XML object to a Python object

Get all kandi verified functions for this library.

ChatLearner Key Features

No Key Features are available at this moment for ChatLearner.

ChatLearner Examples and Code Snippets

No Code Snippets are available at this moment for ChatLearner.

Community Discussions

Trending Discussions on ChatLearner

Restoring a trained model in Tensorflow 1.2

QUESTION

Restoring a trained model in Tensorflow 1.2

Asked 2017-Oct-18 at 20:57

The Model is saved using:

...

ANSWER

Answered 2017-Oct-18 at 18:10

The answer was to modify the model path:

Source https://stackoverflow.com/questions/46816301

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

Vulnerabilities

No vulnerabilities reported

Install ChatLearner

You can download it from GitHub.
You can use ChatLearner 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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