README.md

metadata

title: Met Data Analysis
emoji: 📊
colorFrom: green
colorTo: blue
sdk: streamlit
sdk_version: 1.48.1
app_file: main.py
pinned: false

MetDataAnalysis

Bootcamp Final Project

Browse and analyze Met art collection API

API document: https://huggingface.co/spaces/mg643/MetDataAnalysis

How to run locally

Create your virtual environment

python3 -m venv venv

Activate your virtual environment

source venv/bin/activate

Install dependencies

pip install -r requirements.txt

Run streamlit app

streamlit run main.py

The application has 3 tabs:

1. Random - Display 3 random images from the Met collection
2. Search & Browse - searches the image collection based on query, display a table of select results from across the departments, and select one for more details
3. Dept Analytics - a chart of matching images by department

Run CLI

python met_api.py

The CLI will search for images that matches the keyword across selected departments (or all departments). The CLI will display a list of departments to choose from (or press enter for all) Then it will ask for a search query. It will then display a table of items that matches the query with some details.

Specifics

• Python: 3.9.6

• Deployed as a Hugging Face Space and automatically synced with GitHub Actions.