rasa_core | Rasa Core is now part of the Rasa repo | Bot library

 by   RasaHQ Python Version: 0.13.7 License: Apache-2.0

kandi X-RAY | rasa_core Summary

kandi X-RAY | rasa_core Summary

rasa_core is a Python library typically used in Automation, Bot applications. rasa_core has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations
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            kandi-support Support

              rasa_core has a medium active ecosystem.
              It has 2313 star(s) with 1044 fork(s). There are 153 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              rasa_core has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of rasa_core is 0.13.7

            kandi-Quality Quality

              rasa_core has 0 bugs and 0 code smells.

            kandi-Security Security

              rasa_core has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              rasa_core code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              rasa_core 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.

            kandi-Reuse Reuse

              rasa_core releases are available to install and integrate.
              Build file is available. You can build the component from source.
              It has 17728 lines of code, 1569 functions and 119 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed rasa_core and discovered the below as its top functions. This is intended to give you an instant insight into rasa_core implemented functionality, and help decide if they suit your requirements.
            • Create a Sanic application
            • Handle a message
            • Handle a text message
            • Create a message processor
            • Calculate the attention layer
            • Apply alignments to the history
            • Get all cell states
            • Calculate the additional likelihood
            • Run interactive learning
            • Run a bot
            • Create an argument parser
            • Predict action probabilities based on NLU
            • Return a WSGI blueprint
            • Return the story as a story string
            • Load an embedding policy
            • Create the Blueprint Blueprint
            • Return the confidence score for the given action
            • Call the layer
            • Train the policy model
            • Initialize a SocketIO blueprint
            • Continue training
            • Adds a sub - command parser to subparsers
            • Instantiate a list of policies from a dictionary
            • Predict action probabilities
            • Run the custom action
            • Create training states and action examples
            Get all kandi verified functions for this library.

            rasa_core Key Features

            No Key Features are available at this moment for rasa_core.

            rasa_core Examples and Code Snippets

            如何使用
            Pythondot img1Lines of Code : 4dot img1no licencesLicense : No License
            copy iconCopy
            python -m rasa_core.train -d domain.yml -s stories.md -o models/dialogue -c policy_config.yml
            
            python -m rasa_nlu.train -c nlu_config.yml --data nlu.md -o models --fixed_model_name nlu --project current --verbose
            
            python -m rasa_core_sdk.endpoint --a  

            Community Discussions

            QUESTION

            Uncomplete installation of the RASA package with the issue: FileNotFoundError: [Errno 2] No such file or directory: 'HISTORY.rst'
            Asked 2021-Apr-01 at 14:19

            i have been using rasa for the past few weeks without problems. But recently i had issues with the installation of Spacy, leading me to uninstall an reinstall python. The issue may have occurred because of some dualities between python3.8 and 3.9 which i wasnt abled to pinpoint.

            After deleting all python version from my computer, i just reinstalled python 3.9.2. and reinstall rasa with:

            ...

            ANSWER

            Answered 2021-Mar-21 at 14:59

            rasa 2.4 declares compatibility with Python 3.6, 3.7 and 3.8 but not 3.9 so pip is trying to find one compatible with 3.9 or at least one that doesn't declare any restriction. It finds such release at version 0.0.5.

            To use rasa 2.4 downgrade to Python 3.8.

            PS. Don't hurry up to upgrade to the latest Python — 3rd-party packages are usually not so fast. Currently Python 3.7 and 3.8 are the best.

            Source https://stackoverflow.com/questions/66733525

            QUESTION

            Unable to run the actions.py file with RASA for creating a Chatbot
            Asked 2020-Apr-14 at 07:32

            I'am trying to build a chatbot using Rasa using NLU and Core.

            All the necessary packages/libraries are installed.The data, stories and action files are also created.

            However while running actions.py file, it is not connecting, i;m getting the below message

            ...

            ANSWER

            Answered 2020-Apr-14 at 07:32

            the logs are fine, it means that the Action Server has started, but you should see also the name(s) of the action(s) registered (defined in your stories).

            I would try to start Rasa Action Server using Rasa

            Source https://stackoverflow.com/questions/61184721

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

            Vulnerabilities

            No vulnerabilities reported

            Install rasa_core

            You can download it from GitHub.
            You can use rasa_core 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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          • HTTPS

            https://github.com/RasaHQ/rasa_core.git

          • CLI

            gh repo clone RasaHQ/rasa_core

          • sshUrl

            git@github.com:RasaHQ/rasa_core.git

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