Update app.py

app.py

@@ -128,7 +128,7 @@ def inference(input_image, prompt, a_prompt, n_prompt, denoise_steps, upscale, a
 
 title = "Pixel-Aware Stable Diffusion for Real-ISR"
 description = "Gradio Demo for PASD Real-ISR. To use it, simply upload your image, or click one of the examples to load them."
-article = "<p style='text-align: center'><a href='https://github.com/yangxy/PASD' target='_blank'>Github Repo Pytorch</a></p>"
+article = "<a href='https://github.com/yangxy/PASD' target='_blank'>Github Repo Pytorch</a>"
 #examples=[['samples/27d38eeb2dbbe7c9.png'],['samples/629e4da70703193b.png']]
 
 css = """
@@ -152,8 +152,8 @@ with gr.Blocks(css=css) as demo:
         """)
         with gr.Row():
             with gr.Column():
-                input_image = gr.Image(type="pil", sources=["upload"])
-                prompt_in = gr.Textbox(label="Prompt", value="Asian")
+                input_image = gr.Image(type="pil", sources=["upload"], value="samples/frog.png")
+                prompt_in = gr.Textbox(label="Prompt", value="Frog")
                 with gr.Accordion(label="Advanced settings", open=False):
                     added_prompt = gr.Textbox(label="Added Prompt", value='clean, high-resolution, 8k, best quality, masterpiece')
                     neg_prompt = gr.Textbox(label="Negative Prompt",value='dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality')