Upload Keras models or pickled files

Using Streamlit
3

For those wondering how to upload a pre-trained keras model to a streamlit app, this might save you an afternoon of googling: :slight_smile:

import zipfile
import tempfile

stream = st.file_uploader('TF.Keras model file (.h5py.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)
    #st.info(f'trying to load model from tmp dir {model_dir}...')
    model = tf.keras.models.load_model(model_dir)
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