--- language: en tags: - tensorflow - gradio - image-processing - glaciers license: apache-2.0 datasets: - custom metrics: - accuracy widget: - text: "Upload an image of a glacier to predict boundaries." --- Here's a complete and enhanced version of your Gradio interface documentation for the SGDNet model. This documentation can be part of your model card on Hugging Face or included as a `README.md` in your project repository. It provides clear instructions on setup, usage, and how to interact with the model through Gradio. --- # SGDNet Gradio Interface This is a Gradio interface for the SGDNet model, designed to extract glacier boundaries from multisource remote sensing data. The interface provides a user-friendly method to upload satellite images and visualize the predicted glacier boundaries. ## Setup Instructions Follow these steps to get the Gradio interface up and running on your local machine: ### Prerequisites Ensure you have Python installed on your system. The interface is built using Gradio, and the model is implemented in TensorFlow. ### Installation 1. **Clone the repository:** Ensure you have git installed and then clone the repository containing the SGDNet model and the Gradio interface code. ```bash git clone https://huggingface.co/your_username/SGDNet-gradio cd SGDNet-gradio ``` 2. **Install the required packages:** Use pip to install the required Python packages from the `requirements.txt` file. ```bash pip install -r requirements.txt ``` ### Running the Interface 1. **Start the Gradio app:** Run the Gradio interface using the command below. This command executes the Python script that launches the Gradio interface. ```bash python gradio_app.py ``` 2. **Access the Interface:** Open your web browser and navigate to the URL provided in the command line output (typically `http://127.0.0.1:7860`). This URL hosts your interactive Gradio interface. ## How to Use the Interface - **Upload Image**: Click on the upload area or drag and drop an image file to upload a satellite image of a glacier. - **Submit Image**: After uploading the image, click the "Predict" button to process the image through the SGDNet model. - **View Results**: The interface will display the original image alongside the glacier boundary predictions, allowing you to compare and analyze the results. ## Features - **Interactive Uploads**: Users can easily upload images through a simple web interface. - **Real-time Predictions**: The model processes images and provides predictions in real-time. - **Visual Comparisons**: Directly compare the uploaded images with their prediction outputs. ## Further Help If you encounter any issues or have questions about using the interface, please refer to the documentation on Hugging Face or submit an issue in the repository. ---