Impact of voice on disclosure during phone interviews
This guide provides instructions on how to install Rasa, an open-source conversational AI framework, and how to use it to train and test our models.
Before installing Rasa, ensure you have the following prerequisites installed on your system.
An environment ready with:
- Python: recommended version: 3.7 or higher (Python 3.10 might be trickier to get setup properly)
- pip (Python package installer)
You can install Rasa by running the following command in your terminal or command prompt: 'pip install rasa'
Once Rasa is installed, you can start using it to build and test conversational AI models. Below are instructions on how to perform common tasks using Rasa.
To train a Rasa model using your NLU (Natural Language Understanding) and dialogue training data, run the following command in your terminal: 'rasa train'
This command will train both the NLU and dialogue management models based on the data provided in your project directory.
After training your model, you can interact with it using the Rasa shell. To launch the Rasa shell, run the following command: 'rasa shell'
This will start the interactive shell where you can chat with your trained conversational model.
To use it, start rasaInputOutput.py in Impact-of-voice-on-disclosure/code/data/