TChatBot | ChatBot framework to create | Machine Learning library

by deepraj1729 Python Version: 0.1.0 License: MIT

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

kandi X-RAY | TChatBot Summary

TChatBot is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Neural Network applications. TChatBot has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install TChatBot' or download it from GitHub, PyPI.

A ChatBot framework to make customizable all purpose Chatbots using NLP, Tensorflow, Speech Recognition.

Support

Quality

Security

License

Reuse

Support

TChatBot has a low active ecosystem.

It has 12 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TChatBot is 0.1.0

Quality

TChatBot has 0 bugs and 0 code smells.

Security

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

TChatBot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TChatBot is licensed under the MIT License. This license is Permissive.

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

Reuse

TChatBot releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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

It has 594 lines of code, 27 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Generate training data
Append a new dataset to the screen
Save a JSON file to Intents json
Prints the current tags in the dataset
Clear the screen
Run the chat bot
Extracts word tokens from a pickle file
Start chat
Check if the tokenizer is available
Validate the pre - trained model
Train a chat bot
Train TChatBot model
Configure the model config
Predict a pre - trained model
Prints the current tags in the dataset
Return the contents of the README md file

Get all kandi verified functions for this library.

TChatBot Key Features

No Key Features are available at this moment for TChatBot.

TChatBot Examples and Code Snippets

No Code Snippets are available at this moment for TChatBot.

Community Discussions

Trending Discussions on TChatBot

How to start a Nodejs server with options?

QUESTION

How to start a Nodejs server with options?

Asked 2021-Jan-29 at 06:35

My computer runs Windows10 Enterprise.

I found this repo for creating a Nodejs server for tchatbot. As you can see there are options for starting the server. I tried to execute this command : node app.js DF_PROJECT_ID="agent-human-handoff-sampl-jseo" DF_SERVICE_ACCOUNT_PATH="D:\Docs\TchatBot\clé_account_service_agent_human_operator\agent-human-handoff-sampl-jseo-3349b2f01974.json"

But I got error : You need to specify a path to a service account keypair in environment variable DF_SERVICE_ACCOUNT_PATH

So what is wrong ?

...

ANSWER

Answered 2021-Jan-29 at 06:35

You can just set these in the environment in a command shell before running nodejs from that command shell:

Source https://stackoverflow.com/questions/65949270

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

Vulnerabilities

No vulnerabilities reported

Install TChatBot

You can install using 'pip install TChatBot' or download it from GitHub, PyPI.
You can use TChatBot 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 .

Find more information at: