RASA Healthcare Assistant Model

Introduction

" Dataset for training an NLU model to provide healthcare assistance. "

The dataset is in the format specified by the requirements of RASA framework as the model is tested and deployed using the same.

RASA Setup

• Download and extract the zip file
• Create an env for installing rasa
  • We use conda to create the virtual environment, open your preferred command line/terminal/shell in the extracted directory and all the commands are to be performed here
  • Execute conda create --prefix ./env_name python=3.6 to create an env in the same directory
• If conda is not installed
  • Install it from here
  • or use python venv (or) any other env manager, guide
• Activate the env using conda activate ./env_name
• Install the dependencies
  • pip install rasa

" Note: The env creation is optional and can also be performed directly in the base env but it is recommended to create a new env as the dependencies are large and might effect the storage/performance if directly installed"

Usage

• Open the directory and activate the env from comman line.
• Train the model using rasa train this creates a model in the models directory.
• Run the model : rasa shell .
• The trained AI chatbot model will be now active

You can checkout the complete deployed platform here

Testing

Contact

justprateek
k-v-n-p