app.py

import gradio as gr
import cv2
import numpy as np
from registry import registry
from filters import *
from components import create_filter_controls

def create_app():
    with gr.Blocks() as app:
        gr.Markdown("# 📷 Real-Time Photo Filter App")
        
        # Khởi tạo components
        controls = create_filter_controls()
        filter_names = list(registry.filters.keys())
        
        with gr.Row():
            with gr.Column():
                input_image = gr.Image(label="Input Image", type="numpy")
                filter_select = gr.Dropdown(
                    label="Select Filter",
                    choices=filter_names,
                    value="Original"
                )
                
                # Thêm các control vào UI
                control_components = [c for c in controls.values()]
                # for component in control_components:  # Removed render() calls
                #     component.render()
            
            with gr.Column():
                output_image = gr.Image(label="Filtered Image")

        # Xử lý cập nhật UI
        def update_controls(filter_name):
            updates = []
            for filter_name_ctrl, filter_ctrl_list in controls.items(): # Correctly unpack key-value pairs
                visibility = filter_name_ctrl == filter_name
                for component in filter_ctrl_list: # Iterate through the list of controls
                    updates.append(gr.update(visible=visibility)) # Update visibility for each control
            return updates

        # Xử lý ảnh real-time
        def process(*args, **kwargs):
            image = args[0] if len(args) > 0 else None
            filter_name = args[1] if len(args) > 1 else "Original" # Default filter
            if image is None:
                return None
                
            try:
                image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
                params = {
                    k.split('_', 1)[1]: v 
                    for k, v in kwargs.items() 
                    if k.startswith(filter_name)
                }
                
                processed = registry.filters[filter_name](image, **params)
                
                if len(processed.shape) == 2:
                    processed = cv2.cvtColor(processed, cv2.COLOR_GRAY2RGB)
                else:
                    processed = cv2.cvtColor(processed, cv2.COLOR_BGR2RGB)
                
                return processed
            except Exception as e:
                print(f"Error processing image: {e}")
                return image

        # Kết nối sự kiện
        filter_select.change(
            update_controls,
            inputs=filter_select,
            outputs=list(controls.values())
        )
        
        control_components_list = list(controls.values())
        input_components_process = [input_image, filter_select] + control_components_list
        for component in [input_image, filter_select] + control_components_list:
            component.change(
                process,
                inputs=input_components_process,
                outputs=output_image,
                show_progress=False
            )

    return app

if __name__ == "__main__":
    app = create_app()
    app.launch()