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

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/

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

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

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

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