Web UI Development with Flask and Dash

To get started first run install_dependencies.py to install all the necessary packages required.The application uses flask as a backend server and dash/plotly for interactive EDA.The server is contained in server.py and the routing as well as the dash apps are handled by main.py which imports other dash apps [app.py & app8.py]. In order to run the whole application after running install_dependencies.py ,run main.py.The dashboard is hosted at http://127.0.0.1:5000/dashboard/ where as other apps are hosted respectively at

http://127.0.0.1:5000/tsne ,http://127.0.0.1:5000/model ,http://127.0.0.1:5000/app8

You can handle dash apps using flask just by calling the constructor function in the dash app by app=dash.Dash(name='app7', sharing=True, server=server, url_base_pathname='/app8') where server is the flask server that was created to handle all the apps.

Dashboard

Model Performance

T-SNE EDA

EDA

Built With

• Dash - Main server and interactive components
• Plotly Python - Used to create the interactive plots
• Scikit-Learn - Run the t-SNE algorithm
• Flask-backend stuff

Will add more apps to the project such as live model training using pytorch.