Update app.py

app.py

@@ -12,16 +12,16 @@ def upscale_image(prompt,negative_prompt, rows=3,seed=0, image=None,enable_custo
     return output_image_path
 
 
-image_input = gr.inputs.Image(label="Input Image")
-prompt_input = gr.inputs.Textbox(default="8k, photography, cgi, unreal engine, octane render, best quality",label="Prompt")
-negative_prompt_input = gr.inputs.Textbox(default="jpeg artifacts, lowres, bad quality",label="Negative prompt")
-seed_input = gr.inputs.Number(default=-1, label="Seed")
-row_input = gr.inputs.Number(default=1, label="Tile grid dimension amount (number of rows and columns) - v x v")
-xformers_input = gr.inputs.Checkbox(default=True,label="Enable Xformers memory efficient attention")
-enable_custom_sliders = gr.inputs.Checkbox(default=False,label="(NOT RECOMMENDED) Click to enable the sliders below; if unchecked, it will ignore them and use the default settings")
-cpu_offload_input = gr.inputs.Checkbox(default=True,label="Enable sequential CPU offload")
-attention_slicing_input = gr.inputs.Checkbox(default=True,label="Enable attention slicing")
-output_image = gr.outputs.Image(label="Output Image",type='pil')
+image_input = gr.Image(label="Input Image")
+prompt_input = gr.Textbox(default="8k, photography, cgi, unreal engine, octane render, best quality",label="Prompt")
+negative_prompt_input = gr.Textbox(default="jpeg artifacts, lowres, bad quality",label="Negative prompt")
+seed_input = gr.Number(default=-1, label="Seed")
+row_input = gr.Number(default=1, label="Tile grid dimension amount (number of rows and columns) - v x v")
+xformers_input = gr.Checkbox(default=True,label="Enable Xformers memory efficient attention")
+enable_custom_sliders = gr.Checkbox(default=False,label="(NOT RECOMMENDED) Click to enable the sliders below; if unchecked, it will ignore them and use the default settings")
+cpu_offload_input = gr.Checkbox(default=True,label="Enable sequential CPU offload")
+attention_slicing_input = gr.Checkbox(default=True,label="Enable attention slicing")
+output_image = gr.Image(label="Output Image",type='pil')
 guidance = gr.Slider(2, 15, 7, step=1, label='Guidance Scale: How much the AI influences the Upscaling.')
 iterations = gr.Slider(10, 75, 50, step=1, label='Number of Iterations')
 #save_png_button, save_png_halfsize_button ; I don't know how to implement them