Faulty variable removed

app.py

@@ -11,7 +11,6 @@ import requests
 import datetime
 from gradio_imageslider import ImageSlider
 
-current_output = None
 for model_path in ['fbcnn_gray.pth','fbcnn_color.pth']:
     if os.path.exists(model_path):
         print(f'{model_path} exists.')
@@ -118,8 +117,6 @@ def inference(input_img, is_gray, res_percentage, input_quality, zoom, x_shift,
     if img_E.ndim == 3:
         img_E = img_E[:, :, [2, 1, 0]]
 
-    global current_output
-    current_output = img_E.copy()
     print("--inference finished")
 
     (in_img, out_img) = zoom_image(zoom, x_shift, y_shift, input_img, img_E)
@@ -128,11 +125,8 @@ def inference(input_img, is_gray, res_percentage, input_quality, zoom, x_shift,
     return img_E, (in_img, out_img)
 
 def zoom_image(zoom, x_shift, y_shift, input_img, output_img = None):   
-    global current_output
     if output_img is None:
-        if current_output is None:
-            return None
-        output_img = current_output
+        return None
     
     img = Image.fromarray(input_img)
     out_img = Image.fromarray(output_img)
@@ -187,9 +181,9 @@ with gr.Blocks() as demo:
         ["text.jpg", True,  100, 70, 50, 11, 29]
     ], inputs=[input_img, is_gray, max_res, input_quality, zoom, x_shift, y_shift])
     
-    zoom.release(zoom_image, inputs=[zoom, x_shift, y_shift, input_img], outputs=[before_after])
-    x_shift.release(zoom_image, inputs=[zoom, x_shift, y_shift, input_img], outputs=[before_after])
-    y_shift.release(zoom_image, inputs=[zoom, x_shift, y_shift, input_img], outputs=[before_after])
+    zoom.release(zoom_image, inputs=[zoom, x_shift, y_shift, input_img, output_img], outputs=[before_after])
+    x_shift.release(zoom_image, inputs=[zoom, x_shift, y_shift, input_img, output_img], outputs=[before_after])
+    y_shift.release(zoom_image, inputs=[zoom, x_shift, y_shift, input_img, output_img], outputs=[before_after])
     
     gr.Markdown("""
     JPEG Artifacts are noticeable distortions of images caused by JPEG lossy compression.