Chatbot | chatbot template based on rasa_nlu and rasa_dm which can be
kandi X-RAY | Chatbot Summary
kandi X-RAY | Chatbot Summary
Chatbot is a Python library. Chatbot has no bugs, it has no vulnerabilities and it has low support. However Chatbot build file is not available. You can download it from GitHub.
This is a template of achatbot which can be used to book flights(by doing some modifications in its datset according to your use). I have used Goibibo Api to get information about flights. The codes available in rasa_dm directory has small differences from original rasa_dm by rasa.ai. Pymessenger used in this project also has lots of difference and modeification from the original pymessenger by davidchua, bcoz it has not been updated for a long time. The bot can be hosted using localtunnel, installation instruction for local tunnel can be seen here but there is a problem in running localtunnel i.e it stops after certain time. To run it continuously a ruby script is added which i found on the web and steps to run it has been noted in ruby_installation_guide file.
This is a template of achatbot which can be used to book flights(by doing some modifications in its datset according to your use). I have used Goibibo Api to get information about flights. The codes available in rasa_dm directory has small differences from original rasa_dm by rasa.ai. Pymessenger used in this project also has lots of difference and modeification from the original pymessenger by davidchua, bcoz it has not been updated for a long time. The bot can be hosted using localtunnel, installation instruction for local tunnel can be seen here but there is a problem in running localtunnel i.e it stops after certain time. To run it continuously a ruby script is added which i found on the web and steps to run it has been noted in ruby_installation_guide file.
Support
Quality
Security
License
Reuse
Support
Chatbot has a low active ecosystem.
It has 2 star(s) with 11 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Chatbot has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Chatbot is current.
Quality
Chatbot has no bugs reported.
Security
Chatbot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
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
Chatbot releases are not available. You will need to build from source code and install.
Chatbot has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Chatbot and discovered the below as its top functions. This is intended to give you an instant insight into Chatbot implemented functionality, and help decide if they suit your requirements.
- Visualize a list of stories .
- Default schema for rasa_nlu .
- Convert CRF text to JSON .
- Function to get the flair response
- function to get flair response
- Cross validation .
- Return a JSON response
- Create training data from a list of stories .
- Log an event .
- Get the response of a given bus .
Get all kandi verified functions for this library.
Chatbot Key Features
No Key Features are available at this moment for Chatbot.
Chatbot Examples and Code Snippets
No Code Snippets are available at this moment for Chatbot.
Community Discussions
No Community Discussions are available at this moment for Chatbot.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Chatbot
You can download it from GitHub.
You can use 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.
You can use 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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