The TARDIS AI Chatbot is a simple web-based chatbot application that uses natural language processing (NLP) to provide answers based on a set of predefined documents. The chat history is displayed on the web page, and users can rate the chatbot's answers.
- User-friendly web interface.
- Chat history display with user inputs and chatbot responses.
- Ability to rate chatbot answers.
- Ability to create Jira Ticket automatically.
- API Documentation in form of Swagger
- Initialization
- Reading documents
- Text preprocessing (Spacy and Porter Stemmer)
- Building a knowledge base
- TF-IDF Vectorization
- Similarity Extraction
- Information, Entity and Intent Extraction
- Result as output
Before running the application, make sure you have the following installed:
- Python 3.x
- Flask (
pip install Flask) - spaCy (
pip install spacy) - scikit-learn (
pip install scikit-learn) - en_core_web_md (
python -m spacy download en_core_web_md)
main.py: The main Flask application file. docs/: Folder containing the documents used for chatbot responses. static/: Folder containing static assets such as images. templates/: Folder containing HTML templates for rendering web pages.
cd "2-CORECHI" ##changing directory to current project souce venv/bin/activate ##starting virtual python enviroment to run flask python3 main.py ##starting app
CTRL + C deactivate
http://127.0.0.1:5000