Added readme

readme.md

+# model_server
+
+This repository tracks the model_server project for adaptive feedback microscopy
+
+# Installation on Windows
+
+1. Install Git:<br>https://git-scm.com/download/win
+2. Install Miniforge for environment management:<br>https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge-pypy3-Windows-x86_64.exe
+3. Under the Start menu, open `Miniforge3 > Miniforge Prompt`
+4. In the new terminal, clone the model_server repository:<br>
+   `cd %userprofile%`<br>
+   `git clone https://almf-staff:KJmFvyPRbpzoVZDqfMzV@git.embl.de/rhodes/model_server.git`
+6. Open the newly created model_server project root: `cd model_server`
+7. Create the environment: `mamba env create --file requirements.yml --name model_server_env`
+8. Activate the environment: `mamba activate model_server_env`
+9. Add the project source as a Python package: `pip install -e .`
+
+# Start the server
+Simply click "start_server.bat" in the model_server directory.  This should open a terminal that reports server requests, as well as a browser with a status confirmation page.  To stop the server, type "stop" in the terminal.
+
+# Project subfolders
+
+## /doc
+User-facing documentation (currently empty)
+
+## /tests
+Python unit tests that must pass prior to PR, either by a manual or CI/CD workflow
+
+## /clients
+Modules that implement HTTP client behavior, i.e. map image processing operations to model_server endpoints
+
+## /clients/imagej
+Scripts internal to model_server that specifically depend on the ImageJ API.  If \*.py, assume Python 2.7 in ImageJ Jython interpreter
+
+## /confs
+Default configuration files that point to test data, dependency search paths, etc.
+
+## /extensions
+Python that extends model_server
+
+## /extensions/ilastik
+Specific models and pipelines that use ilastik workflows
+
+## /scripts
+Command line scripts e.g. to execute batch data processing, install local files, or manage server runtime behavior.
+