Update README.md

README.md

@@ -9,5 +9,63 @@ app_file: app.py
 pinned: false
 license: apache-2.0
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+# Alzheimer MRI Classification
+
+This repository contains a Gradio application for classifying Alzheimer's disease stages from MRI images using a fine-tuned ResNet50 model. The application is deployed on Hugging Face Spaces.
+
+## Table of Contents
+- [Introduction](#introduction)
+- [Model Details](#model-details)
+- [Setup](#setup)
+- [Usage](#usage)
+- [Contributing](#contributing)
+
+## Introduction
+This application uses a convolutional neural network (ResNet50) to classify MRI images into one of four stages of Alzheimer's disease:
+- Mild Demented
+- Moderate Demented
+- Non-Demented
+- Very Mild Demented
+
+The model is fine-tuned on a custom dataset and can be accessed through a user-friendly web interface powered by Gradio.
+
+## Model Details
+The model architecture is based on ResNet50, with the final fully connected layer adjusted to output predictions for 4 classes. The model is trained using PyTorch and fine-tuned on a dataset of MRI images.
+
+## Setup
+To run the application locally, follow these steps:
+
+1. Clone the repository:
+    ```bash
+    git clone https://github.com/your_username/alzheimer_mri_classification.git
+    cd alzheimer_mri_classification
+    ```
+
+2. Install the required dependencies:
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+3. Ensure you have the model file (`alzheimer_model_resnet50.pth`) in the root directory of the project. You can download it from [Hugging Face Hub](https://huggingface.co/your_username/alzheimer_model_resnet50).
+
+4. Run the application:
+    ```bash
+    python app.py
+    ```
+
+5. The Gradio interface will launch and can be accessed in your web browser at `http://127.0.0.1:7860`.
+
+## Usage
+Once the application is running, you can upload an MRI image through the web interface and get the predicted classification.
+
+### Example Usage
+1. Open the application in your browser.
+2. Click on "Upload an MRI Image" to upload an image.
+3. The application will display the predicted classification for the uploaded image.
+
+
+## Contributing
+Contributions are welcome! If you have any suggestions, bug reports, or feature requests, please open an issue or submit a pull request.
+
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference