CMU Interactive Data Science Assigment 3

• Team members: xuanyil@andrew.cmu.edu and yejuz@andrew.cmu.edu
• Online URL: https://share.streamlit.io/cmu-ids-2020/a3-a3_lxy_zyj

Instructions

Run Locally

Check out the Streamlit getting started guide and setup your Python environment.

To run the application locally, install the dependencies with pip install -r requirements.txt (or another preferred method to install the dependencies listed in requirements.txt). Then run streamlit run streamlit_app.py.

View Online

Before you can view your application online, you need to have it set up with Streamlit Sharing. To do this, create an issue that asks the TAs to deploy your repo. To create the issue, you can follow this link They will respond with a URL for your application. Once the repo is set up, please update the URL as the top of this readme and add the URL as the website for this GitHub repository.

Deliverables

• An interactive data science or machine learning application using Streamlit.
• The URL at the top of this readme needs to point to your application online. It should also list the names of the team members.
• A write-up that describes the goals of your application, justifies design decisions, and gives an overview of your development process. Use the writeup.md file in this repository. You may add more sections to the document than the template has right now.