Spaces:
Running
Running
File size: 3,011 Bytes
041af8a cb5b71d bbea1cc dc92053 cb5b71d 041af8a cb5b71d bbea1cc 5a782ad bbea1cc cb5b71d dc92053 cb5b71d 041af8a 0c5b67f 041af8a dc92053 041af8a 0c5b67f 041af8a 0c5b67f 041af8a 0c5b67f 041af8a 0c5b67f 041af8a cb5b71d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 |
import logging
import requests
import streamlit as st
from core.constants import OAUTH_CLIENT_ID
from core.query_params import set_project
from core.state import CurrentProject
from core.state import Metadata
import mlcroissant as mlc
from views.load import render_load
from views.previous_files import render_previous_files
def render_splash():
if OAUTH_CLIENT_ID:
st.info(
"**Disclaimer**: Do not put sensitive information or datasets here. The"
" storage on Hugging Face Spaces is ephemeral. If you want to host your own"
" version locally, build the app from [the GitHub"
" repository](https://github.com/mlcommons/croissant/tree/main/editor)."
)
col1, col2 = st.columns([1, 1], gap="large")
with col1:
with st.expander("**Load an existing Croissant JSON-LD file**", expanded=True):
render_load()
with st.expander("**Create from scratch**", expanded=True):
def create_new_croissant():
st.session_state[Metadata] = Metadata()
project = CurrentProject.create_new()
st.session_state[CurrentProject] = project
set_project(project)
st.button(
"Create",
on_click=create_new_croissant,
type="primary",
)
with st.expander("**Try out an example!**", expanded=True):
def create_example(dataset: str):
url = f"https://raw.githubusercontent.com/mlcommons/croissant/main/datasets/{dataset.lower()}/metadata.json"
try:
json = requests.get(url).json()
metadata = mlc.Metadata.from_json(mlc.Issues(), json, None)
st.session_state[Metadata] = Metadata.from_canonical(metadata)
project = CurrentProject.create_new()
st.session_state[CurrentProject] = project
set_project(project)
except Exception as exception:
logging.error(exception)
st.error(
"Sorry, it seems that the example is broken... Can you please"
" [open an issue on"
" GitHub](https://github.com/mlcommons/croissant/issues/new)?"
)
dataset = st.selectbox(
label="Dataset",
options=[
"Titanic",
"FLORES-200",
"GPT-3",
"COCO2014",
"PASS",
"MovieLens",
"Bigcode-The-Stack",
],
)
st.button(
f"{dataset} dataset",
on_click=create_example,
type="primary",
args=(dataset,),
)
with col2:
with st.expander("**Past projects**", expanded=True):
render_previous_files()
|