Ajustar app.py para mejorar la funcionalidad de redimensionamiento de imágenes

app.py

@@ -142,7 +142,7 @@ def upscale_image(image, resolution, num_inference_steps, strength, hdr, guidanc
         print(f"Loaded custom model from {tile_upscaler_url}")
     except ValueError as e:
         print(f"Failed to load custom model: {e}")
-        client_custom_model = None
+        client_tile_upscaler = None
         raise gr.Error("Failed to load client for " + tile_upscaler_url)
     
     if (reduce_factor > 1):
@@ -151,7 +151,7 @@ def upscale_image(image, resolution, num_inference_steps, strength, hdr, guidanc
 
     try:
         result = client_tile_upscaler.predict(
-            param_0=image,
+            param_0=handle_file(image),
             param_1=resolution,
             param_2=num_inference_steps,
             param_3=strength,
@@ -282,7 +282,7 @@ with gr.Blocks(css=css) as demo:
             enhace_button = gr.Button("Enhance Image")
 
         with gr.Column():
-            output_slider = ImageSlider(label="Before / After", type="numpy", show_download_button=False)
+            output_slider = ImageSlider(label="Before / After", type="filepath", show_download_button=False)
 
     with gr.Accordion("Advanced Options", open=False):
         upscale_reduce_factor = gr.Slider(minimum=1, maximum=10, step=1, label="Reduce Factor", info="1/n")