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Add development environment setup with mock model functions and Gradio interface
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metadata
title: Biomedparse Docker
emoji: π
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
- Hugging Face Model: BiomedParse Model
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 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.
Licensing
- Code in this Space: Licensed under the Apache License 2.0, as per the original BiomedParse GitHub repository.
- Model: The BiomedParse model is licensed under the Creative Commons Attribution Non Commercial Share Alike 4.0. 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