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| # Design document for MetDataAnalysis | |
| ## Application Requirement Summary: | |
| 1) an API "layer" and a CLI for the API | |
| 2) StreamLit app (that can run locally and in HuggingFace) | |
| 3) Visual element | |
| 4) Data analysis | |
| ## Application Components | |
| - [ ] METrics StreamLit App (that runs locally and in HuggingFace) | |
| - [ ] Display a dataframe table of items with image and metadata | |
| - [ ] Search and display matching items in table | |
| - [ ] data analysis visual (# by department, period, etc...) | |
| - [ ] Nice visual layout and design | |
| - [ ] API wrapper function | |
| - [ ] CLI runner for api search function | |
| - [ ] (optional) Local cache of recent items (serialized json) | |
| ## Additional Tasks | |
| - [ ] HuggingFace Space/Repo setup | |
| - [x] GitHub Repo setup | |
| - [ ] Everyone make a branch and commit | |
| - [ ] Everyone do a PR |