Chatterbot-Streamlit

A chatbot made using the Chatterbot library in Python and locally hosted using Streamlit. Dataset used were collected during ConvAI2 competition.

Implementation

A web implementation of ChatterBot using Streamlit.

Local Setup:

1. Ensure that Python, Spacy, Streamlit, and ChatterBot are installed.
2. To install chatterbot, activate a virtual environment, follow these steps:
3. conda create --name chatterbot_example python=3.7
4. conda activate chatterbot_example
5. pip install chatterbot
6. pip install chatterbot_corpus
7. pip install streamlit
8. Run cbv2.py with streamlit run cbv2.py.
9. The demo will be live at http://localhost:8501/

How do I deploy this to a web server?

You can try: PythonAnywhere, AWS or Heroku to host your application.

Training

The training has been done using conversations from datasets collected during ConvAI2 competition.Dataset

Medium Tutorial

https://medium.com/@aprajit09041996/chatbot-tutorial-using-streamlit-d8af6a21d80d

License

This source is free to use, but ChatterBot does have a license which still applies and can be found on the LICENSE page.