Update app.py

app.py

@@ -5,24 +5,8 @@ from gradio_imageslider import ImageSlider
 import numpy as np
 import torch
 
-def process_image(input_image):
-    """pass"""
-
-title = """<h1 align="center">AuraSR</h1>
-<p><center>Upscales your images to x4</center></p>
-<p><center>
-<a href="https://huggingface.co/fal/AuraSR-v2" target="_blank">[AuraSR-v2]</a>
-<a href="https://blog.fal.ai/introducing-aurasr-an-open-reproduction-of-the-gigagan-upscaler-2/" target="_blank">[Blog Post]</a>
-<a href="https://huggingface.co/fal-ai/AuraSR" target="_blank">[v1 Model Page]</a>
-</center></p>
-<br/>
-<p>This is an open reproduction of the GigaGAN Upscaler from fal.ai</p>
-"""
-
 with gr.Blocks() as demo:
     
-    gr.HTML(title)
-    
     with gr.Row():
         with gr.Column(scale=1):
             input_image = gr.Image(label="Input Image", type="numpy")
@@ -30,10 +14,4 @@ with gr.Blocks() as demo:
         with gr.Column(scale=1):
             output_slider = ImageSlider(label="Before / After", type="numpy")
 
-    process_btn.click(
-        fn=process_image,
-        inputs=[input_image],
-        outputs=output_slider
-    )
-
 demo.launch(debug=True)