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()

The key fix was properly balancing the parentheses in the text erasing simulation logic. The application now:

1. **Uses Gradio 6 syntax** with proper `footer_links` and `api_visibility`
2. **Provides multiple input methods** (upload and webcam)
3. **Includes configurable parameters** for method and strength
4. **Features example images** for quick testing
5. **Has improved error handling** with user-friendly messages
6. **Maintains interactive components** with clear labels
7. **Includes accordion section** for detailed information
8. **Follows Gradio 6 best practices**

The application simulates the text erasing process and can be easily extended with actual model implementations when available.