fix README.md

README.md

@@ -1,36 +1,12 @@
-# Landmark Classification with ViT
-
-This repository contains a Gradio-based application for classifying famous landmarks using a ViT (Vision Transformer) model. It includes code for loading landmark categories, managing examples, customizing the Gradio interface, and using a pre-trained model from the Hugging Face Hub.
-
-## Features
-- ViT-based landmark classification
-- Organized categories with ordered data loading
-- Custom theme using Gradio’s theming framework
-- Example images section for quick testing
-
-## Installation
-1. Clone the repository.
-2. Create and activate a virtual environment:
-  ```
-  python -m venv .venv
-  source .venv/bin/activate
-  ```
-3. Install dependencies:
-  ```
-  pip install -r requirements.txt
-  ```
-
-## Usage
-1. Run the main application:
-  ```
-  python app.py
-  ```
-2. Access the Gradio interface in a web browser at the URL printed in the console.
-
-## Project Structure
-- `app.py` : Application entry point
-- `classifier.py` : Model loading and inference logic
-- `custom_theme.py` : Custom theme definitions for Gradio
-- `src/ui/interface.py` : UI layout and Gradio components
-- `src/utils/examples.py` : Example data loading and management
-- `landmark_categories.json` : Configuration of landmark categories
+---
+title: Landmark Classification Vit
+emoji: 🌍
+colorFrom: purple
+colorTo: purple
+sdk: gradio
+sdk_version: 5.13.0
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference