---
title: Github Sync Space
emoji: 🔥
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 5.47.0
app_file: app.py
pinned: false
---
# Data-intensive-systems
Group project to develop in a machine learning setting. The developed [gradio](https://www.gradio.app) app for movement assessment is automatically deployed to the [synchronized huggingface space](https://huggingface.co/spaces/Bachstelze/github_sync).
## Members

1. Reem
2. Rasa
3. Amol
4. Kalle

~~5. Abdulla~~

## Usage

Installation of [gardio](https://www.gradio.app/docs/gradio/interface) to build machine learning apps in Python:
```pip install gradio```

Run the app with ```python3 app.py```

### Week 1 - Kalle team lead, rest developers

- Slack as a medium of communications
- GitHub for version control
- This GitHub issue tracker as a simple project management tool
- Synchronization of this GitHub repo with the [hugginface space](https://huggingface.co/spaces/Bachstelze/github_sync)
- Local development, switch to [cscloud](https://cscloud.lnu.se/project/) if needed.
- Meetings as and when needed

### Week 2 - first linear regression model development and deployment

- Testing pickled models with test/test_model.py

### Outlook
Input the raw video into a [reasoning vision model](https://huggingface.co/blog/nvidia/nvidia-cosmos-reason-2-brings-advanced-reasoning) and develop the workflow with [daggr](https://huggingface.co/blog/daggr) for gradio.