Update app.py

app.py

@@ -13,8 +13,8 @@ sd_2_0_2x = StableDiffusionLatentUpscalePipelin.from_pretrained(model_2x, torch_
 sd_2_1_4x = StableDiffusionUpscalePipeline.from_pretrained(model_4x, torch_dtype=torch.float16, revision="fp16") if torch.cuda.is_available() else StableDiffusionUpscalePipeline.from_pretrained(model_4x)
 
 # Define the input and output components for the Gradio interface
-input_image = gr.inputs.Image()
-output_image = gr.outputs.Image()
+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):