New to Rasa? We’ve collected some of the best resources for beginners, to help you learn the basics and level up. The Rasa stack consists of two main parts: Rasa Open Source, an open source machine learning framework for building AI assistants. Rasa X, a free tool to help you share your assistant with testers, see how users are interacting with your assistant, and improve your model by annotating new training data. Start by visiting the Developer Portal . The Developer Portal includes a roundup of the most important resources and tutorials for learning about Rasa. You’ll find installation guides, as well as online courses and video tutorials. The Rasa for Beginners series is another great starting point. It’s a free online class hosted on Udemy that covers the fundamentals of Rasa and helps you build your first assistant. We also recommend checking out our YouTube channel , where we add new videos weekly. Lastly, don’t forget to check out the Rasa Blog . The Blog is the best way to stay up-to-date with the latest product updates, tutorials, and resources for conversational AI teams. If you have questions along the way, you’re in the right place. Check out our guide to asking great questions for tips on using the forum to troubleshoot and share solutions. We can’t wait to see what you build!

i am facing issues in starting rasa shell in linux, giving error illegal instruction, please helpme out

[image] Juste: git clone GitHub - RasaHQ/rasa: 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants I am running mine on Ubuntu AWS and I get this error; AttributeError: ‘module’ object has no attribute ‘SSL_ST_INIT’ on this line; pip install -r requirements.txt

你好有中文的对话系统推荐吗

I had similar issue, when I downgraded Python (from 3.8 to 3.7) the issue was resolved. Maybe the moderator can comment on the issue regarding python version and the current version of rasa framework. I use env, if you have issues with - let me know.

I tried to dabble with version 1.1.8. Getting following error when go for a test drive: TypeError: _run_response_middleware() got an unexpected keyword argument ‘request_name’ 2020-01-06 18:19:20 ERROR asyncio - Task exception was never retrieved Let me know which version after 1.x is stable to use in production level.

I am using venv python 3.7.4, pip3 20.1 While trying to install rasa stack using: pip3 install rasa-x --extra-index-url Simple Index (copied from rasa handbook eposode#1, I am getting ERROR related to TensorFlow: <<< ERROR: Could not find a version that satisfies the requirement tensorflow<2.2,>=2.1 (from rasa<2.0.0,>=1.9.5->rasa-x) (from versions: none) ERROR: No matching distribution found for tensorflow<2.2,>=2.1 (from rasa<2.0.0,>=1.9.5->rasa-x) Any help is appreciated.

Hi, Which version of python and pip are required to install rars stack on wndows 10? I am getting tensorflow related errors like the following: ERROR: Could not find a version that satisfies the requirement tensorflow<2.2,>=2.1 (from rasa<2.0.0,>=1.9.5->rasa-x) (from versions: none) ERROR: No matching distribution found for tensorflow<2.2,>=2.1 (from rasa<2.0.0,>=1.9.5->rasa-x) I am using Python 3.7.4, pip3 20.1 & windows10

How to validate the form values before submitting to API server? I was following “Rasa master Class - Episode #8” A typo in facility type nusring home instead of nursing home I got the below error. How to solve this? [image]

Setting up Python proved tricky for me. I solved the problem by using Docker: docker pull rasa/rasa:1.10.1-full # run the container as the current user (non-root) alias rasa="docker container run --rm -it -v $(pwd):/app --user 1000:1000 rasa/rasa:1.10.1-full" # now just use it rasa init --no-prompt rasa shell

Hey everyone. I am getting an error when using pretrained_embbedings_spacy pipeline linked to Lithuanian language. In spacy it has one pretrained model https://spacy.io/models/lt and I am loading and linking it and pipeline does not give any errors. The “rasa train nlu” gives me error: “ValueError: Input contains NaN, infinity or a value too large for dtype(‘float64’).” When using pyCharm or Jupyter Notebooks, examining the Lithuanian text with spacy, using the same loaded lithuanian model works just fine - it gives me POS’es and entity labels. I have a feeling that it has something to do with encoding, but I am not sure how to change encoding in this spacy pipeline of Rasa. The other supervised_embeddings pipeline works fine

Getting started with Rasa

Getting Started with Rasa

blestab (Blessed Tabvirwa) October 11, 2020, 2:46pm 44

UPDATE: I tried using GitHub - RasaHQ/rasa-for-beginners: Rasa for Beginners, no custom changes, just the stock standard code from the repo

Still no luck with that either. What am I doing wrong?

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Getting started with Rasa

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