BiomedParse / README.md
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Add development environment setup with mock model functions and Gradio interface
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---
title: Biomedparse Docker
emoji: πŸ“‰
colorFrom: yellow
colorTo: blue
sdk: docker
pinned: false
license: apache-2.0
---
# BiomedParse Hugging Face Space
This Hugging Face Space provides an interactive Gradio interface to explore the functionality of **BiomedParse**. BiomedParse is a foundation model for joint segmentation, detection, and recognition of biomedical objects across nine modalities.
This Space allows you to:
- Upload biomedical data.
- Use the BiomedParse model for analysis.
- View and interact with the results.
## Acknowledgments
This Space is based on the work by the research team behind BiomedParse.
- GitHub Repository: [BiomedParse GitHub Repository](https://github.com/microsoft/BiomedParse)
- Hugging Face Model: [BiomedParse Model](https://huggingface.co/microsoft/BiomedParse)
All rights to the model and its underlying research are held by the original authors. This Space only provides an interface for interacting with their published model.
## How It Works
- This Space leverages the [BiomedParse model](https://huggingface.co/microsoft/BiomedParse) hosted on Hugging Face.
- The Space fetches the model directly from Hugging Face each time it is run.
- The Python backend is partially adapted from the original BiomedParse GitHub repository under the [Apache License 2.0](https://spdx.org/licenses/Apache-2.0.html).
## Licensing
- **Code in this Space**: Licensed under the [Apache License 2.0](https://spdx.org/licenses/Apache-2.0.html), as per the original BiomedParse GitHub repository.
- **Model**: The BiomedParse model is licensed under the [Creative Commons Attribution Non Commercial Share Alike 4.0](https://spdx.org/licenses/CC-BY-NC-SA-4.0.html). Ensure that your use complies with the terms of this license.
## Development of the Gradio interface
To develop the Gradio interface locally against a mock ML model, execute
make run