Hi @DevangMahesh Thanks for posting! Spaces are typically used to showcase projects or demos and should only contain code. We do not recommend storing data in a Space repo. Data files can be loaded from other hub repo types (models, datasets) easily into your Gradio app. For example, the hub Python client library allows for a straightforward process to load datasets into your Gradio Space. More information can be found here: 🤗 Hub client library.
There are several benefits when it comes to storing data files in a dataset, such as:
- You have the ability to version your app and data independently
- Your Space will rebuild more quickly
- You can work with the data more efficiently in a dataset, as they are optimized for data
Another option is creating a repo for your Space repository: Create and manage a repository and using your Inference Endpoints instead of Spaces.
We also have some tips and recommendations for freeing up storage in your Space: Storage limits.