New build version

README.md

+# model_server
+
+Serving Vision to Living Things.
+
+## Summary
+
+model_server is a service for on-demand computer vision, adapted specifically to image-based feedback in microscopy 
+and other life sciences applications.  It abstracts image data access, persists machine learning models, 
+and exposes an extensible API to facilitate low-latency analysis.  
+
+## Installation from source:
+
+1. Install Git:<br>https://git-scm.com/download/win
+2. Install Miniforge for environment management:<br>https://github.com/conda-forge/miniforge/releases
+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`
+5. Create the environment: `mamba env create --file requirements.yml --name model_server_env`
+6. Activate the environment: `mamba activate model_server_env`
+7. Add the project source as a Python package: `pip install -e .`
+
+## To start the server:
+1. From the Miniforge prompt, run `mamba activate model_server_env`
+2. Then run `python -m scripts.run_server --port 6221`
+3. A browser window should appear, with basic status information.