This is documentation for Rasa & Rasa Pro Documentation v2.x, which is no longer actively maintained.
For up-to-date documentation, see the latest version (3.x).
Rasa as open source alternative to Facebook’s Wit.ai - Migration Guide
To get started with migrating your application from Wit.ai to Rasa:
Step 1: Export your Training Data from Wit.ai
Navigate to your app's setting page by clicking the Settings item in the Management section of the left navigation bar. Scroll down to Export your data and hit the button Download .zip with your data.
This will download a file with a
.zip extension. Unzip this file to create a folder.
The files you want from your download are located in the utterances directory.
Step 2: Create a Rasa Project
To create a Rasa project, run:
This will create a directory called
Remove the files in this directory, and move the content of the
Step 3: Train your NLU model
To train a model using your Wit data, run:
Step 4: Test your NLU model
Let's see how your NLU model will interpret some test messages. To start a testing session, run:
This will prompt your for input. Type a test message and press 'Enter'. The output of your NLU model will be printed to the screen. You can keep entering messages and test as many as you like. Press 'control + C' to quit.
Step 5: Start a Server with your NLU Model
To start a server with your NLU model, run:
This will start a server listening on port 5005.
To send a request to the server, run: