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---
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.
---
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