models.py

import torch
import torch.nn as nn

class MockTextErasingModel(nn.Module):
    """Mock model for text erasing demonstration"""
    
    def __init__(self):
        super().__init__()
        # Simple convolutional layers for demonstration
        self.conv1 = nn.Conv2d(3, 64, 3, padding=1)
        self.conv2 = nn.Conv2d(64, 3, 3, padding=1)
    
    def forward(self, x):
        return x

def load_model():
    """Load or create a mock text erasing model"""
    return MockTextErasingModel()

This Gradio 6 application provides:

1. **Modern Gradio 6 Interface** with proper footer_links
2. **Multiple Input Methods**: Upload or webcam
3. **Configurable Parameters**: Method selection and strength adjustment
4. **Example Images** for quick testing
5. **Error handling** with user-friendly messages
6. **Interactive components** with clear labels and descriptions
7. **Accordion section** with detailed information
8. **Built with anycoder** attribution as required

The application simulates the text erasing process and can be extended with actual model implementations from the repository.