Task-oriented dialogue system for talking to a robotic manipulator. Built using the RASA chat-bot framework. This was developed for the Little Helper 7+ at Aalborg University, however it can also be run as a stand-alone application.
pip3 install -r requirements.txt --user
The following commands should be run from the rasa_project folder. Note: if you get a command not found error when running the rasa commands below even though rasa is installed, use python3 -m rasa instead.
A model is already present in the repository (file models/model.tar.gaz). It was trained using the pipe-line specified in config.yml using all the training data in the data folder.
To re-train the model:
rasa train --domain=./domain.yml --config=./config.yml --fixed-model-name=model
Run the actions server (handlers defined in rasa_project/actions.py):
rasa run actions
This will run an action server at http://localhost:5055
Note: make sure the action endpoint is specified in endpoints.yml.
To talk to the chatbot in the command line:
rasa shell
To run the chatbot in interactive mode (where the user gives feedback about whether the intent, entities and response are correct):
rasa interactive -m .\models\model.tar.gz
In three separate terminals:
Launch the web-app
cd rasa-webapp && python3 main.pyStart a RASA assistant
rasa run --enable-api -p 5005
This will start a RASA assistant on http://localhost:5005
Start an HTTP server for sending the image files to the client
python -m http.server 8888
Now open http://localhost:8080/ in a browser to see the voice interface.