DolFin Chatbot Repo

There are 3 important files within the repo:

• chatbot_train.ipynb - creates, trains and saves chatbot model
• chatbot_load.ipynb - loads chatbot model and activates so user can make inputs (this will be the code called by the DolFin website)
• intents.json - contains the desired input and output sentences for the chatbot

To Run the Code:

1. Use a Python code editor (Google Colab or Jupyter Notebook) and ensure it has access to the location where intents.json is stored.
2. Run all cells in chatbot_train.ipynb.
3. Run all cells in chatbot_load.ipynb.
4. Input desired sentence in final cell of chatbot_load.ipynb.
5. When finished, stop cell running to stop the chatbot.

To Add Code:

1. Clone the repo and make your code changes.
2. Push your code to a new branch of the repo using:

• git checkout -b feature_branch_name
• git add .
• git commit -m “some message about what you have done”
• git push -u origin feature_branch_name

3. Create a pull request to merge your branch to master branch

Code adapted from:

https://www.geeksforgeeks.org/deploy-a-chatbot-using-tensorflow-in-python/

Things to keep in mind:

The Zen of Python: https://peps.python.org/pep-0020/