AskRonnie is a restaurant suggestion engine chatbot built into a homegrown websocket chat application. It creates a simple web interface to interact with, and it does the work for you -- no more poking around restaurant review websites, checking boxes and searching countless times to find the right match! The bot interacts with the user, generating real time evaluations and asking the questions it needs to best help you. It does this using a custom built algorithm, and analyzing data from over 35,000 business on Yelp. At the end, you have exactly the kind of restaurant or bar you need.
AskRonnie is built in Python with a Flask framework. It uses a PostgreSQL database with a combination of SQLAlchemy and Psycopg2. Websocket functionality is enabled using the Flask-SocketIO library.
-
Clone this repository
$ git clone https://github.com/mfbalder/ChatappFeedmeBot-HB.git -
Create and activate a Python virtual environment in the ChatappFeedmeBot-HB directory
$ virtualenv env $ source env/bin/activate -
Once you are working in your virtual environment, install the necessary modules
(env)$ pip install -r requirements.txt
webapp.py: Handles the Flask application, in addition to the socket event handlers
bot.py: Manages the brains of the AskRonnie chatbot
bot_path.py: Contains the question path dictionary for AskRonnie
Templates: All html files extend from base.html using Jinja
Static: All image files
