rasa | automate text- and voice-based conversations | Chat library

 by   RasaHQ Python Version: 3.6.0 License: Apache-2.0

kandi X-RAY | rasa Summary

kandi X-RAY | rasa Summary

rasa is a Python library typically used in Messaging, Chat applications. rasa has no bugs, it has no vulnerabilities, it has a Permissive License and it has high support. However rasa build file is not available. You can download it from GitHub.

Rasa Open Source 3.0 is here! . 2.8 is the last minor in the 2.x series. You can still contribute new features and improvements which we plan to release alongside updates to 3.0. Read more about our contributor guidelines.

            kandi-support Support

              rasa has a highly active ecosystem.
              It has 16550 star(s) with 4365 fork(s). There are 350 watchers for this library.
              There were 4 major release(s) in the last 12 months.
              There are 1 open issues and 6642 have been closed. On average issues are closed in 317 days. There are 126 open pull requests and 0 closed requests.
              It has a negative sentiment in the developer community.
              The latest version of rasa is 3.6.0

            kandi-Quality Quality

              rasa has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              rasa 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 releases are available to install and integrate.
              rasa has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 99947 lines of code, 5808 functions and 522 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed rasa and discovered the below as its top functions. This is intended to give you an instant insight into rasa implemented functionality, and help decide if they suit your requirements.
            • Create a Sanic application
            • Trigger an intent
            • Trigger an external user
            • Raises a warning
            • Call features
            • Create MLM Tensors
            • Converts a list of features into a token id
            • Compute a tensorflow mask from sequence lengths
            • Batch prediction
            • Load a marker from a given path
            • Combine features
            • Calculate the loss for a batch
            • Compute the batch loss
            • Decorator for caching methods
            • Adds argument parser to subparsers
            • Create a custom blueprint
            • Construct training states and entities
            • Create training states and entities
            • Create a Blueprint blueprint
            • Create a new blueprint
            • Compute a batch loss for a batch
            • Checks the domains of the domain
            • Performs sampling
            • Create a blueprint blueprint
            • Create training states and labels
            • Track the model training
            Get all kandi verified functions for this library.

            rasa Key Features

            No Key Features are available at this moment for rasa.

            rasa Examples and Code Snippets

            No Code Snippets are available at this moment for rasa.

            Community Discussions


            "Starting Rasa server on http://localhost:5005" how do I change localhost to a particular VM's address and how to run the RASA model?
            Asked 2022-Mar-17 at 16:58

            I deployed my Rasa Bot on a VM, and ran it using rasa run. But when the server up and running it shows as "Starting Rasa server on http://localhost:5005". But I want my bot to work on the VM's address so that I can use it for the webhooks. Without using ngrok. Which files should I customize and how do I run my model?



            Answered 2022-Mar-17 at 16:58

            You need to solve this with your VM configuration, not with Rasa config files. You probably need to bridge your VM and host networks.

            Source https://stackoverflow.com/questions/70937459


            How to solve "variable is not accessed" error in VS? -python-
            Asked 2022-Mar-12 at 15:29

            this is my python code and as you can see the variable choics that I'm trying to define and give some value keeps showing an error "is not accessed Pylance" in VS,

            the error is in this line: choice = tracker.get_slot("customer_choice")

            and this is the code:



            Answered 2022-Mar-12 at 15:29

            This is a standard linter error letting you know that you've declared a variable without using it -- sometimes it indicates a typo in your code, or an opportunity to clean up dead code.

            If you see this error and you think you are using the variable, look very carefully at the line of code where you're using it, and you'll probably find a subtle problem around scoping, or a typo in the variable name, or something like that.

            In this case, the typo is that your f-string is missing its f.

            Source https://stackoverflow.com/questions/71450847


            Rasa installation issue using pip/pip3
            Asked 2022-Jan-24 at 08:47

            I have created a new conda environment with python 3.8 -



            Answered 2022-Jan-24 at 08:47

            The output does not show any actual errors, so assuming the issue is a time-out during installation or it takes unusually long to install a package, this would be caused by the newly introduced pip dependency resolver. This has been discussed before here. Try to upgrade pip to the newest version, where this issue is reported to be fixed, via

            Source https://stackoverflow.com/questions/70829252


            Rasa customs policy do not work with rasa shell in cmd
            Asked 2022-Jan-18 at 19:53

            I have a small problem with a customs policy in rasa for actions. I build a policy that selects the actions randomly, however when use the command "rasa shell" and chat with the bot, it does not return any answer only this error:

            2022-01-14 20:50:46 WARNING rasa.core.processor - Circuit breaker tripped. Stopped predicting more actions for sender '36716023155644c88aaca2c245cec779'.

            my code is:



            Answered 2022-Jan-18 at 19:53

            The problem was easy to solve, basically the prediction would have to take into account the previous state of the conversation. Here is a code example:

            Source https://stackoverflow.com/questions/70732649


            Rasa-X takes too long to install
            Asked 2022-Jan-15 at 12:08
            pipenv install rasa-x --extra-index-url https://pypi.rasa.com/simple --use-deprecated=legacy-resolver


            Answered 2022-Jan-15 at 12:08


            InvalidConfigException: Can't load class for name 'HFTransformersNLP'. in rasa
            Asked 2022-Jan-12 at 13:06
            how to implement BERT in rasa with huggingface transformers and what are needed for running the Bert model in rasa ? ...


            Answered 2022-Jan-12 at 13:06

            This error could be due to the Rasa version you're using (output of rasa --version). In the current versions (>2.1), HFTransformersNLP and LanguageModelTokenizer are deprecated. Using a BERT model can be achieved with any tokenizer and

            Source https://stackoverflow.com/questions/70578679


            how connect rasa stack chatbot with whatsapp without Twilio
            Asked 2022-Jan-04 at 08:29

            I made a chatbot with rasa stack and I would like to use it in WhatsApp, I explored twilio, but I would like to know if there are more options that allows the implementation. Twilio is a little bit expensive and complicate to me and some clients don't like for the high price. I'm using rasa/rasa: 2.7.2, have anyone found another alternative for twilio?



            Answered 2022-Jan-04 at 08:29

            As far as I know, the only WhatsApp alternative is WhatsApp business, which is likely more expensive as you need to have a business license with them. Unfortunately their API is not public like most messaging services are.

            Source https://stackoverflow.com/questions/70568390


            Differences between Rasa and other Conversational AI platforms
            Asked 2021-Dec-29 at 16:18

            Apart from being open source, what can other Conversational AI platforms (wit.ai, Lex, DialogFlow..) do that Rasa can't?



            Answered 2021-Dec-29 at 16:18

            These are some of the main differences between Dialog Flow and Rasa:

            Dialog Flow:

            • No installation needed, you can start using it immediately.

            • Easy to use, non-tech people can build a bot.

            • Closed system.

            • Web-based interface for building bots.

            • Data is hosted on the cloud.

            • Can’t be hosted on your server or on-premise.

            • Out-of-box integration with Google Assistant, Skype, Slack, Facebook Messenger, etc.


            • Requires installation of multiple components.

            • Requires tech knowledge.

            • Open-source code available in GitHub.

            • No interface provided, write JSON or markdown files.

            • No hosting provided.

            • You can host it on your server.

            • No out-of-box integration.

            Source https://stackoverflow.com/questions/70508199


            ERROR Could not build wheels for xmlsec, which is required to install pyproject.toml-based projects
            Asked 2021-Dec-14 at 15:09

            I am having an error when trying to install Rasa X in local mode form Terminal. Using Python 3.7.4 and pip version 21.3.1. Using Mac.



            Answered 2021-Dec-04 at 11:03

            Try adding this before installing Rasa X: brew install libxml2 libxmlsec1 pkg-config

            Source https://stackoverflow.com/questions/70217122


            Chatbot rasa init conversation
            Asked 2021-Nov-30 at 23:44

            I am starting with rasa and I want to make a chatbot that starts talking before the user, I attach an example:



            Answered 2021-Nov-29 at 08:17

            There is a dedicated section in the Rasa Docs about reaching out to the user which, I believe, you haven't consulted yet (please, correct me if I'm wrong). Take a look and, if you encounter any issues, please, post on the Rasa forum.

            Regarding your setup and why it doesn't achieve what you want: Rasa stories describe what actions a bot should take in reaction to a user message and, if applicable, to previous conversation history. Rasa models "learn" from these stories how to react in context. When a story starts with a bot action, a model cannot learn from such a story because it's unclear what the context is -- after which user message should that action be predicted? And if you're asking "How come it's not clear? The story says that my action should start the conversation!", then it's important to realise that a story doesn't necessarily describe a conversation from the beginning -- it can also represent just a part of a conversation, maybe just the ending. Again, if you have any follow-up questions, look at our docs and ask on the forum :-)

            Source https://stackoverflow.com/questions/70137364

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


            No vulnerabilities reported

            Install rasa

            In order to build a Docker image on your local machine execute the following command:. The Docker image is available on your local machine as rasa:localdev.


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