Update app.py

app.py

@@ -5,13 +5,15 @@ import gradio as gr
 client = Client("radames/Enhance-This-HiDiffusion-SDXL")
 
 # Define your interface function
-def my_interface(input_image, prompt, negative_prompt, seed, guidance_scale=8.5, scale=2, controlnet_conditioning_scale=0.5, strength=1.0, controlnet_start=0.0, controlnet_end=1.0, guassian_sigma=2.0, intensity_threshold=3):
+def my_interface(input_image, prompt="This is a beautiful scenery", negative_prompt="blurry, ugly, duplicate, poorly drawn, deformed, mosaic", seed=1415926535897932, guidance_scale=8.5, scale=2, controlnet_conditioning_scale=0.5, strength=1.0, controlnet_start=0.0, controlnet_end=1.0, guassian_sigma=2.0, intensity_threshold=3):
     # Call the other space's predict function
     result = client.predict(input_image, prompt, negative_prompt, seed, guidance_scale, scale, controlnet_conditioning_scale, strength, controlnet_start, controlnet_end, guassian_sigma, intensity_threshold)
     return result
 
 # Define your Gradio interface
-iface = gr.Interface(fn=my_interface, inputs=..., outputs=...)
+iface = gr.Interface(fn=my_interface, 
+                     inputs=gr.inputs.Image(shape=(1024,1024), source="upload"), 
+                     outputs=gr.outputs.Image())
 
 # Launch your Gradio interface
 iface.launch()