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README.md

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 # Simple Web UI for MedImageInsight: Open-Source Medical Image Embedding Model
 
-This repository is a clone of [Lion AI MedImageInsights](https://huggingface.co/lion-ai/MedImageInsights) and shows how easily you can create a simple Web UI for the Model.
+This repository is a (somewhat) clone of [Lion AI MedImageInsights](https://huggingface.co/lion-ai/MedImageInsights) and shows how easily you can create a simple Web UI for the Model.
+I added some less CORS restriction to the fast api server and MPS Support (it was only CUDA before) for the medimageinsightmodel.py.
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+CUDA (Compute Unified Device Architecture) and MPS (Metal Performance Shaders) are two frameworks that enable GPU acceleration, but they are platform-specific:
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+- **CUDA** is a parallel computing platform developed by NVIDIA. It provides tools and libraries specifically designed to utilize NVIDIA GPUs for intensive computations, making it a preferred choice for deep learning and AI on systems with NVIDIA hardware.
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+- **MPS** (Metal Performance Shaders) is Apple’s framework for GPU-accelerated processing on macOS and iOS. It provides GPU support for Metal-compatible devices, including Apple's own hardware (like M1/M2 chips). Using MPS allows machine learning models to run on Apple hardware without needing an NVIDIA GPU.
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+In this Web UI, MPS support has been added to make the tool accessible on Apple devices with Metal-compatible GPUs, not just on NVIDIA GPUs with CUDA.
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+**Long story short:** If you are on a Mac, you might get better performance with MPS. After running the Fast API you see "Using MPS backend for model execution." if its supported by our machine.
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 ## Known Issues
 In the UI, selecting an URL does not always work due to CORS issues. Take local images to be save.