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app

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+import gradio as gr
+import cv2
+import numpy as np
+from PIL import Image
+import os
+import warnings
+
+# Suppress warnings
+warnings.filterwarnings('ignore')
+
+def create_gui():
+    # Create the main interface
+    with gr.Blocks(theme=gr.themes.Base(
+        primary_hue=gr.themes.colors.red,
+        font=gr.themes.GoogleFont('Open Sans')
+    )) as interface:
+        gr.Markdown("# FaceFusion")
+        
+        with gr.Tab("Swap"):
+            with gr.Row():
+                with gr.Column():
+                    source_image = gr.Image(label="Source Face", type="pil")
+                    target_image = gr.Image(label="Target Image/Video", type="pil")
+                
+                with gr.Column():
+                    output_image = gr.Image(label="Result")
+                    
+            with gr.Row():
+                process_button = gr.Button("Process", variant="primary")
+                clear_button = gr.Button("Clear")
+                
+        with gr.Tab("Settings"):
+            with gr.Row():
+                face_detection_threshold = gr.Slider(
+                    minimum=0.0,
+                    maximum=1.0,
+                    value=0.5,
+                    step=0.01,
+                    label="Face Detection Threshold"
+                )
+                output_quality = gr.Slider(
+                    minimum=1,
+                    maximum=100,
+                    value=90,
+                    step=1,
+                    label="Output Quality"
+                )
+            
+            with gr.Row():
+                enable_face_enhancement = gr.Checkbox(
+                    label="Enable Face Enhancement",
+                    value=True
+                )
+                preserve_original_resolution = gr.Checkbox(
+                    label="Preserve Original Resolution",
+                    value=True
+                )
+
+        # Placeholder function for processing
+        def process_images(source, target):
+            # This is where you'd implement the actual face fusion logic
+            # For now, just return the target image
+            return target
+
+        def clear_outputs():
+            return None, None, None
+
+        # Connect the interface elements
+        process_button.click(
+            fn=process_images,
+            inputs=[source_image, target_image],
+            outputs=[output_image]
+        )
+        
+        clear_button.click(
+            fn=clear_outputs,
+            inputs=[],
+            outputs=[source_image, target_image, output_image]
+        )
+
+    return interface
+
+# Create and launch the interface
+demo = create_gui()
+
+# For deployments
+if __name__ == "__main__":
+    demo.launch()