Update app.py

app.py

@@ -18,11 +18,11 @@ input_image = gr.inputs.Image(type="filepath")
 output_image = gr.outputs.Image(type="filepath")
 
 # Define the function that will be called when the interface is used
-def upscale_image(model, image):
+def upscale_image(model, input_image):
     # Convert the image to a PyTorch tensor
     generator = torch.manual_seed(999999)
-    low_res_img = Image.open(low_res_img).convert("RGB")
-    low_res_latents = low_res_img
+    image = Image.open(input_image).convert("RGB")
+    
     
     # Upscale the image using the selected model
     if model == "SD 2.0 2x Latent Upscaler":