Hi guys,
I’m building a machine learning app via LudwigAI and I would like users to be able to upload model weights and all related files - 5 files in total, see screenshot below:
For that, I’ve tried to use this little hack that I’ve previously used to upload Kera’s weights, taken from here:
stream = st.file_uploader("Ludwig models (.zip)", type="zip")
if stream is not None:
myzipfile = zipfile.ZipFile(stream)
with tempfile.TemporaryDirectory() as tmp_dir:
myzipfile.extractall(tmp_dir)
root_folder = myzipfile.namelist()[0] # e.g. "model.h5py"
model_dir = os.path.join(tmp_dir, root_folder)
modelLoaded = LudwigModel.load(model_dir)
modelLoaded
I’ve currently the following error:
I’ll try other variations, yet if anyone has a fix that’ll be appreciated!
Many thanks,
Charly