Hi there :) Since we have recently released a new version of Rasa, some of the things in this tutorial were outdated. I have just updated it so you should find instructions to solve your issue there too. The github repo provided with this tutorial has some new changes as well. Have a look and let me know if you have any issues :)
Hey there! Looks like an issue with specifying the path to the custom component. Can you double check the following:
It is similar to DialogFlow, because both frameworks can be used to build chatbots, but the main difference is that Rasa is open source and fully machine-learning powered framework — it is not only using machine learning for NLU tasks, but also for dialogue management and learns from real conversational data.
At least for now, Rasa doesn’t have a ready-to-use solution for converting DialogFlow data into the Rasa format, but I know that some of our contributors are working on a feature like this, you can find a discussion here: https://github.com/RasaHQ/rasa_core/issues/508 . If you would be interested in working on such solution yourself, feel free to join the discussion :)