run_server main method can now be called externally

readme.md

@@ -6,15 +6,17 @@ model_server implement image analysis jobs for online use (e.g. in feedback micr
 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>
+4. In the new terminal, run:<br>
    `cd %userprofile%`<br>
    `git clone https://almf-staff:KJmFvyPRbpzoVZDqfMzV@git.embl.de/rhodes/model_server.git`
-5. Then clone the trec-adaptive-feedback repository, run:<br>
-   `git clone https://almf-staff:gldt-9szJvEjhupPvMjDv18EB@git.embl.de/almf/trec-adaptive-feedback.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 .`
+5. Open the newly created project root: `cd model_server`
+6. Create the environment: `mamba env create --file requirements.yml --name model_server_env`
+7. Activate the environment: `mamba activate model_server_env`
+8. Add the project source as a Python package: `pip install -e .`
 
 # Start the server
-Simply click "start_server command" in the trec-adapative-feedback 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. 
+Simply click "start_server command" 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.
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+# Examples
+
+
+    
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