Update app.py

app.py

@@ -144,7 +144,14 @@ def process_image(enable_enhancement, weight_slider):
         tokenizer_2=pipe.tokenizer_2,
         torch_dtype=dtype
     )
-    return "Pipeline updated with the selected enhancement model and weight."
+    generated_image = pipe_i2i(prompt="A generated image")
+    
+    if isinstance(generated_image, Image.Image):
+        return generated_image  # Gradio can handle PIL Image objects
+    elif isinstance(generated_image, str):  # If it returns a file path, return that
+        return generated_image
+    else:
+        return None
     
 MAX_SEED = 2**32 - 1