update app.py

app.py

@@ -447,7 +447,7 @@ with gr.Blocks(js=scripts, css=css, theme='gstaff/xkcd') as demo:
                                     value=0.5 , interactive=True,  step=0.05, minimum=0, maximum=1)
 
     with gr.Row():
-        segment_btn = gr.Button( 'Segment it<sup>*</sup>  !' , elem_classes=["white-bg", "gray-border" , "border-radius" ,"own-shadow" , 'bold' , 'mt-mb-1' ] , size="sm")
+        segment_btn = gr.Button( 'Segment it¹ !' , elem_classes=["white-bg", "gray-border" , "border-radius" ,"own-shadow" , 'bold' , 'mt-mb-1' ] , size="sm")
         segment_btn.click(fn=run, inputs=[in_canvas_image , in_textbox , in_slider  ], outputs=[out_image])
     gallery_label = gr.HTML("<h3 class='black-text'> <span class='black-text underline'>Gallery:</span> <span style='color: grey;'>you can click on any of the example sketches below to start segmenting them (or even drawing over them)</span> </div>")
 
@@ -505,6 +505,6 @@ with gr.Blocks(js=scripts, css=css, theme='gstaff/xkcd') as demo:
         # cache_examples=True,
     )
     
-    gr.HTML("<h5 class='black-text' style='text-align: left;'>*This demo runs on a basic 2 vCPU. For instant segmentation, use a commercial Nvidia RTX 3090 GPU (t</h5>")
-    gr.HTML("<h5 class='black-text' style='text-align: left;'>*We compare the entire caption to the scene sketch and threshold most similar pixels, without extracting individual classes.</h5>")
+    gr.HTML("<h5 class='black-text' style='text-align: left;'>¹This demo runs on a basic 2 vCPU. For instant segmentation, use a commercial Nvidia RTX 3090 GPU.</h5>")
+    gr.HTML("<h5 class='black-text' style='text-align: left;'>¹We compare the entire caption to the scene sketch and threshold most similar pixels, without extracting individual classes.</h5>")
 demo.launch(share=False)