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Team 4

We are on Github now! The files we have developed for this Hackathon are stored, managed, tracked and updated through this repository

Authors

Licensing

MIT License
AGPL License
GPLv3 License

Documentation

Further guidance can be found on the Hackathon document. See details here: Guidelines

Usage/Examples

python main.py

Roadmap

  • Test workflow agent.
  • Develop machine learning application.
  • Train machine learning model using HPC.

Optimizations

  • Attempt to integrate additional worflow agents to debug and test.
  • Run the code on a larger scale to test the efficiency of the code.

FAQ

What do I need to run the codes?

Our demo requires running te main.py file. This file will read the json file which contains the task to be performed.

Are these codes compatible with any Python environment?

The code requires Python 3.9 or higher to run. The code is compatible with any Python environment.

Acknowledgements

About

A no-code web app allowing users to manipulate images interactively through natural language prompts -- Third Position Ashby Prize in Computational Science Hackathon @ UIUC

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