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() # 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!