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Deploy (see actual commits on https://github.com/mlcommons/croissant).
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import os
from etils import epath
import streamlit as st
from core.constants import EDITOR_CACHE
from core.past_projects import save_current_project
from core.state import Metadata
import mlcroissant as mlc
def _on_file_upload(key):
"""Triggers when a new file gets uploaded to load the Croissant metadata."""
file = st.session_state[key]
file_cont = file.read()
# TODO(marcenacp): The Python library should support loading from an open file/dict.
newfile_name = EDITOR_CACHE / "loaded_croissant"
os.makedirs(os.path.dirname(newfile_name), exist_ok=True)
with open(newfile_name, mode="wb+") as outfile:
outfile.write(file_cont)
try:
dataset = mlc.Dataset(newfile_name)
st.session_state[Metadata] = Metadata.from_canonical(dataset.metadata)
save_current_project()
except mlc.ValidationError as e:
st.warning(e)
st.toast(body="Invalid Croissant File!", icon="🔥")
def render_load():
key = "json-ld-file-upload"
st.file_uploader(
"Drop a JSON-LD", type="json", key=key, on_change=_on_file_upload, args=(key,)
)