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Download README.md from Bachstelze/github_sync: direct link, hf CLI and curl.
- Browser
- Download file 1.44 kB
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https://huggingface.co/spaces/Bachstelze/github_sync/resolve/810317cf48a2594de423d89e814cde6a8f15861e/README.md
- Command line
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hf download hf://spaces/Bachstelze/github_sync@810317cf48a2594de423d89e814cde6a8f15861e/README.md
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curl -L -o README.md https://huggingface.co/spaces/Bachstelze/github_sync/resolve/810317cf48a2594de423d89e814cde6a8f15861e/README.md
1.44 kB
metadata
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 app for movement assessment is automatically deployed to the synchronized huggingface space.
Members
- Reem
- Rasa
- Amol
- Kalle
5. Abdulla
Usage
Installation of gardio 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
- Local development, switch to cscloud 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 and develop the workflow with daggr for gradio.