Merge branch 'build-2024.07.08' into 'staging'

Build 2024.07.08

See merge request rhodes/model_server!54

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.

conda-recipe/meta.yaml

 {% set name = "model_server" %}
-{% set version = "2024.7.1" %}
+{% set version = "2024.7.8" %}
 {% set pyproject = load_file_data('../pyproject.toml', from_recipe_dir=True) %}
 {% set pp = pyproject.get('project') %}
 

pyproject.toml

@@ -6,7 +6,7 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "model_server"
 license = {file = "LICENSE"}
-version = "2024.07.01"
+version = "2024.07.08"
 authors = [
   { name="Christopher Rhodes", email="christopher.rhodes@embl.de" },
 ]