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| 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 | |
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| 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](https://huggingface.co/spaces/mg643/MetDataAnalysis) and automatically synced with GitHub Actions. | |
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