Spaces:
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| title: Milestone 2 | |
| emoji: 📹 | |
| colorFrom: blue | |
| colorTo: red | |
| sdk: streamlit | |
| app_file: language_models_project/app.py | |
| python_version: 3.10.4 | |
| pinned: false | |
| # image2textapp | |
| demo of 🤗 spaces deployment of a streamlit python app | |
| Installation instructions | |
| ```docker compose run dev-environment``` | |
| Procedure used: | |
| Reasoned that it would make the most amount of sense to be able to modify the | |
| source code while the container is still running to allow for iterative | |
| debugging in the environment in which it is being deployed. To avoid writing | |
| back to the system, a readonly option was provided to the filesystem. | |
| Docker compose was used to provide a separation of concerns, and to move testing | |
| logic outside of the container that is to be deployed. This decouples the logic | |
| of the tests from the application logic. I have familiarity with docker compose | |
| and am happy to work with it again. | |
| A bare-metal python Dockerfile base image was used to provide a stable python | |
| deployment version. This version will be targeted in the poetry files, and | |
| packages necessary will be installed into the system python with the appropriate | |
| poetry arguments. | |