Update run.py

run.py

@@ -1,28 +1,29 @@
 import gradio as gr
-from roop_unleashed import Core  # Changement d'import
+import cv2
+import numpy as np
 
-def launch_interface():
-    with gr.Blocks() as app:
-        gr.Markdown("## Face Swap")
-        with gr.Row():
-            src = gr.Image(label="Source", type="filepath")
-            target = gr.Image(label="Cible", type="filepath")
-            output = gr.Image(label="Résultat")
+def simple_processing(source_img, target_img):
+    try:
+        # Conversion des images
+        source = np.array(source_img)
+        target = np.array(target_img)
         
-        btn = gr.Button("Exécuter")
-        
-        def process(src_path, tgt_path):
-            try:
-                output_path = "result.jpg"
-                Core().enhance_face(src_path, tgt_path, output_path)  # Adaptez à l'API réelle
-                return output_path
-            except Exception as e:
-                print(f"Erreur : {e}")
-                return None
-        
-        btn.click(process, inputs=[src, target], outputs=output)
-    return app
+        # Traitement minimaliste (à remplacer par votre logique)
+        result = cv2.addWeighted(source, 0.5, target, 0.5, 0)
+        return result
+    except Exception as e:
+        print(f"Error: {str(e)}")
+        return None
+
+with gr.Blocks() as demo:
+    gr.Markdown("## FaceSwap Minimal")
+    with gr.Row():
+        input1 = gr.Image(label="Source Image")
+        input2 = gr.Image(label="Target Image")
+        output = gr.Image(label="Result")
+    
+    btn = gr.Button("Process Images")
+    btn.click(simple_processing, inputs=[input1, input2], outputs=output)
 
 if __name__ == "__main__":
-    app = launch_interface()
-    app.launch(server_name="0.0.0.0", server_port=7860)
+    demo.launch(server_name="0.0.0.0", server_port=7860)