How to store data generated by my Streamlit app in Hugging Face spaces

[Wedyan2023]

I have a Streamlit app on Hugging Face, and I want to save users’ feedback, preferences, and data in a data storage or database. Is it possible on Hugging Face, and how can I do it?

[John6666]

I recommend creating a private data set repo and reading and writing from it. If you don’t need to make it private, it’s even easier.

Persistent storage who can access?

Hi @ADalsrehy If you want to save your data into a huggingface dataset instead you can use a commit scheduler. These are some methods proposed by wauplin to push your data (I have hot patched his space in here Space to Dataset Saver - a Hugging Face Space by not-lain ) save as json import json from datetime import datetime from pathlib import Path from uuid import uuid4 import gradio as gr from huggingface_hub import CommitScheduler JSON_DATASET_DIR = Path("json_dataset") JSON_DATASET_DIR…

HfApi Client

[Wedyan2023]

from where can I create a private data set repo? Is it from Create a new dataset repository?
I will try it. Thanks a lot!