Create app.py

app.py

@@ -0,0 +1,85 @@
+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:
+                    component.render()
+            
+            with gr.Column():
+                output_image = gr.Image(label="Filtered Image")
+
+        # Xử lý cập nhật UI
+        def update_controls(filter_name):
+            updates = []
+            for key in controls:
+                current_filter, _ = key.split('_', 1)
+                updates.append(gr.update(visible=current_filter == filter_name))
+            return updates
+
+        # Xử lý ảnh real-time
+        def process(image, filter_name, **kwargs):
+            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())
+        
+        components = [input_image, filter_select] + list(controls.values())
+        for component in components:
+            component.change(
+                process,
+                inputs=components,
+                outputs=output_image,
+                show_progress=False
+            )
+
+    return app
+
+if __name__ == "__main__":
+    app = create_app()
+    app.launch()