rasa_bot | 整理:基于Rasa-NLU和Rasa-Core的任务型ChatBot | Natural Language Processing library
kandi X-RAY | rasa_bot Summary
kandi X-RAY | rasa_bot Summary
rasa_bot is a Python library typically used in Artificial Intelligence, Natural Language Processing, Tensorflow applications. rasa_bot has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However rasa_bot build file is not available. You can download it from GitHub.
整理:基于Rasa-NLU和Rasa-Core的任务型ChatBot
整理:基于Rasa-NLU和Rasa-Core的任务型ChatBot
Support
Quality
Security
License
Reuse
Support
rasa_bot has a low active ecosystem.
It has 50 star(s) with 21 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
There are 1 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 rasa_bot is current.
Quality
rasa_bot has 0 bugs and 0 code smells.
Security
rasa_bot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
rasa_bot code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
rasa_bot 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
rasa_bot releases are not available. You will need to build from source code and install.
rasa_bot 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.
rasa_bot saves you 79 person hours of effort in developing the same functionality from scratch.
It has 205 lines of code, 17 functions and 2 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of rasa_bot
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of rasa_bot
rasa_bot Key Features
No Key Features are available at this moment for rasa_bot.
rasa_bot Examples and Code Snippets
No Code Snippets are available at this moment for rasa_bot.
Community Discussions
Trending Discussions on rasa_bot
QUESTION
Failed to load the component rasa
Asked 2021-Jul-29 at 05:42
I am using rasa as a python library. Here is my directory structure
...ANSWER
Answered 2021-Jul-28 at 12:18Could you add an empty __init__.py
file to your components
folder? That way the folder is detected as a Python module.
Note that I'm assuming that you're running the rasa train
command from the projects/rasa
folder here.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rasa_bot
You can download it from GitHub.
You can use rasa_bot 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 rasa_bot 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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