Electric potential warnings not printed in interpreter

### 🔍 Before submitting the issue

- [x] I have searched among the existing issues
- [x] I am using a Python virtual environment

### 🐞 Description of the bug

A Fluent GPU session with GUI enabled was launched via PyFluent. When an electric potential setting is entered, a warning is printed in the Fluent Python console, but not in the Python interpreter.


### 📝 Steps to reproduce

Run the following commands in Python:

```
import ansys.fluent.core as pyfluent
from ansys.fluent.core.examples.downloads import download_file
solver = pyfluent.launch_fluent(processor_count=4, gpu=True, ui_mode="gui")
case_name = download_file("Static_Mixer_main.cas.h5", "pyfluent/static_mixer")
solver.settings.file.read_mesh(file_name=case_name)

solver.settings.setup.models.echemistry.potential = True
```

### 💻 Which operating system are you using?

Windows

### 📀 Which ANSYS version are you using?

2025R2

### 🐍 Which Python version are you using?

3.10

### 📦 Installed packages

```shell
absl-py==2.1.0
ansys-api-fluent==0.3.35
ansys-api-platform-instancemanagement==1.1.2
ansys-api-tools-filetransfer==0.1.1
ansys-fluent-core==0.29.0
ansys-fluent-visualization==0.18.0
ansys-platform-instancemanagement==1.1.2
ansys-tools-filetransfer==0.1.1
ansys-units==0.3.5
anyio==4.8.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
astroid==3.3.8
asttokens==3.0.0
astunparse==1.6.3
async-lru==2.0.4
attrs==25.1.0
babel==2.17.0
bcrypt==4.3.0
beautifulsoup4==4.13.3
black==25.1.0
bleach==6.2.0
blinker==1.9.0
certifi==2025.1.31
cffi==1.17.1
cfgv==3.4.0
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
comm==0.2.2
contourpy==1.3.1
cryptography==44.0.2
cycler==0.12.1
dash==2.18.2
dash-bootstrap-components==1.7.1
dash-core-components==2.0.0
dash-html-components==2.0.0
dash-table==5.0.0
debugpy==1.8.12
decorator==5.2.1
defusedxml==0.7.1
dill==0.3.9
distlib==0.3.9
docker==7.1.0
et_xmlfile==2.0.0
exceptiongroup==1.2.2
executing==2.2.0
fastjsonschema==2.21.1
filelock==3.17.0
flake8==7.1.2
Flask==3.0.3
flatbuffers==25.2.10
fonttools==4.56.0
fqdn==1.5.1
gast==0.6.0
google-pasta==0.2.0
googleapis-common-protos==1.68.0
grpcio==1.70.0
grpcio-health-checking==1.62.3
grpcio-status==1.62.3
h11==0.14.0
h5py==3.13.0
httpcore==1.0.7
httpx==0.28.1
identify==2.6.8
idna==3.10
imageio==2.37.0
importlib_metadata==8.6.1
iniconfig==2.0.0
ipykernel==6.29.5
ipython==8.33.0
isoduration==20.11.0
isort==6.0.1
itsdangerous==2.2.0
jedi==0.19.2
Jinja2==3.1.5
joblib==1.4.2
json5==0.10.0
jsonpointer==3.0.0
jsonschema==4.23.0
jsonschema-specifications==2024.10.1
jupyter-events==0.12.0
jupyter-lsp==2.2.5
jupyter_client==8.6.3
jupyter_core==5.7.2
jupyter_server==2.15.0
jupyter_server_terminals==0.5.3
jupyterlab==4.3.5
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.3
kaleido==0.2.1
keras==3.8.0
kiwisolver==1.4.8
libclang==18.1.1
lxml==5.3.1
Markdown==3.7
markdown-it-py==3.0.0
MarkupSafe==3.0.2
matplotlib==3.10.1
matplotlib-inline==0.1.7
mccabe==0.7.0
mdurl==0.1.2
mistune==3.1.2
ml-dtypes==0.4.1
mypy-extensions==1.0.0
namex==0.0.8
narwhals==1.28.0
nbclient==0.10.2
nbconvert==7.16.6
nbformat==5.10.4
nest-asyncio==1.6.0
nltk==3.9.1
nodeenv==1.9.1
notebook==7.3.2
notebook_shim==0.2.4
numpy==2.0.2
openpyxl==3.1.5
opt_einsum==3.4.0
optree==0.14.1
overrides==7.7.0
packaging==24.2
pandas==2.2.3
pandocfilters==1.5.1
paramiko==3.5.1
paramiko-expect==0.3.5
parso==0.8.4
pathspec==0.12.1
pillow==11.1.0
platformdirs==4.3.6
plotly==6.0.0
pluggy==1.5.0
pooch==1.8.2
pre_commit==4.1.0
prometheus_client==0.21.1
prompt_toolkit==3.0.50
protobuf==4.25.6
psutil==7.0.0
pure_eval==0.2.3
pyansys-tools-report==0.8.2
pycodestyle==2.12.1
pycparser==2.22
pyflakes==3.2.0
Pygments==2.19.1
pylint==3.3.4
PyNaCl==1.5.0
pyparsing==3.2.1
PySide6==6.8.2.1
PySide6_Addons==6.8.2.1
PySide6_Essentials==6.8.2.1
pytest==8.3.5
python-dateutil==2.9.0.post0
python-json-logger==3.2.1
python-pptx==1.0.2
pytz==2025.1
pyvista==0.44.2
pyvistaqt==0.11.2
pywin32==308
pywinpty==2.0.15
PyYAML==6.0.2
pyzmq==26.2.1
QtPy==2.4.3
referencing==0.36.2
regex==2024.11.6
requests==2.32.3
retrying==1.3.4
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rich==13.9.4
rpds-py==0.23.1
scikit-learn==1.6.1
scipy==1.15.2
scooby==0.10.0
seaborn==0.13.2
Send2Trash==1.8.3
shiboken6==6.8.2.1
six==1.17.0
sniffio==1.3.1
soupsieve==2.6
stack-data==0.6.3
tensorboard==2.18.0
tensorboard-data-server==0.7.2
tensorflow==2.18.0
tensorflow-io-gcs-filesystem==0.31.0
tensorflow_intel==2.18.0
termcolor==2.5.0
terminado==0.18.1
threadpoolctl==3.5.0
tinycss2==1.4.0
tomli==2.2.1
tomlkit==0.13.2
tornado==6.4.2
tqdm==4.67.1
traitlets==5.14.3
types-python-dateutil==2.9.0.20241206
typing_extensions==4.12.2
tzdata==2025.1
uri-template==1.3.0
urllib3==2.3.0
virtualenv==20.29.2
vtk==9.3.1
wcwidth==0.2.13
webcolors==24.11.1
webencodings==0.5.1
websocket-client==1.8.0
Werkzeug==3.0.6
wrapt==1.17.2
xgboost==2.1.4
XlsxWriter==3.2.2
zipp==3.21.0
```

Start by reproducing the issue with launch_fluent(processor_count=4, gpu=True, ui_mode="gui"), then set solver.settings.setup.models.echemistry.potential = True after reading Static_Mixer_main.cas.h5. Trace how the warning reaches the Fluent Python console versus the Python interpreter. Done means the electric-potential warning is also printed in the interpreter for this workflow.

Written by the indexing model from the issue text.