How do I setup the _SERVER_MODEL_PATH variable? - anaconda

Question

I'm trying to replicate the quickstart save and serve example.
I go to the example folder, run the python script and can see the model runs and artifacts when I type mlflow ui.
However, when I try the mlflow serve command with different model run Ids and ports I get a 404 in my browser, even though the command seems successful:
mlflow models serve -m runs:/e1dabe8fc6e84286af5bee28ca89cdde/model --port 1234
2022/07/11 07:40:01 INFO mlflow.models.cli: Selected backend for flavor 'python_function'
2022/07/11 07:40:02 INFO mlflow.utils.conda: Conda environment mlflow-ddf4db606beaa0e9bb42ff0ed98e8f4c4c7cb1f4 already exists.
2022/07/11 07:40:02 INFO mlflow.pyfunc.backend: === Running command 'conda activate mlflow-ddf4db606beaa0e9bb42ff0ed98e8f4c4c7cb1f4 & waitress-serve --host=127.0.0.1 --port=1234 --ident=mlflow mlflow.pyfunc.scoring_server.wsgi:app'
INFO:waitress:Serving on http://127.0.0.1:1234
I tried running directly from anaconda prompt, and I get the following error:
conda activate mlflow-ddf4db606beaa0e9bb42ff0ed98e8f4c4c7cb1f4 & waitress-serve --host=127.0.0.1 --port=1234 --ident=mlflow mlflow.pyfunc.scoring_server.wsgi:app
Traceback (most recent call last):
File "C:\Users\sergio ferro.conda\envs\mlflow-ddf4db606beaa0e9bb42ff0ed98e8f4c4c7cb1f4\lib\runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Users\sergio ferro.conda\envs\mlflow-ddf4db606beaa0e9bb42ff0ed98e8f4c4c7cb1f4\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "C:\Users\sergio ferro.conda\envs\mlflow-ddf4db606beaa0e9bb42ff0ed98e8f4c4c7cb1f4\Scripts\waitress-serve.exe_main.py", line 7, in
File "C:\Users\sergio ferro.conda\envs\mlflow-ddf4db606beaa0e9bb42ff0ed98e8f4c4c7cb1f4\lib\site-packages\waitress\runner.py", line 283, in run
app = resolve(module, obj_name)
File "C:\Users\sergio ferro.conda\envs\mlflow-ddf4db606beaa0e9bb42ff0ed98e8f4c4c7cb1f4\lib\site-packages\waitress\runner.py", line 218, in resolve
obj = import(module_name, fromlist=segments[:1])
File "C:\Users\sergio ferro.conda\envs\mlflow-ddf4db606beaa0e9bb42ff0ed98e8f4c4c7cb1f4\lib\site-packages\mlflow\pyfunc\scoring_server\wsgi.py", line 6, in
app = scoring_server.init(load_model(os.environ[scoring_server._SERVER_MODEL_PATH]))
File "C:\Users\sergio ferro.conda\envs\mlflow-ddf4db606beaa0e9bb42ff0ed98e8f4c4c7cb1f4\lib\os.py", line 679, in getitem
raise KeyError(key) from None
KeyError: 'pyfunc_model_path'
I have tried deleting and creating a new anaconda environment, ran from git bash, anaconda prompt, added anaconda3 environment variables. I know it has something to do with the _SERVER_MODEL_PATH variable but I wouldn't know how to set it up or which path add to my environment variables so it can read this variable from there.