change input

app.py

@@ -125,7 +125,7 @@ model.eval()
 #     return grid
 
 
-def super_reso(image):
+def super_reso(input_image):
     # gradio open image as np array
     #image_array = np.asarray(image_path)
     #image = Image.fromarray(image_array, mode="RGB") 
@@ -133,7 +133,7 @@ def super_reso(image):
     # prediction
     with torch.no_grad():
         out_final, image_bicubic = pred_SRCNN(
-            model=model, image=image, device=device
+            model=model, image=input_image, device=device
         )
     # grid = image_grid([out_final,image_bicubic],1,2)
     return out_final, image_bicubic
@@ -150,4 +150,4 @@ gr.Interface(
     description=description,
     article=article,
     examples=examples,
-).launch(enable_queue=True)
+).launch()