Minor change on the summary text

app.py

@@ -68,9 +68,9 @@ def count_files(*inputs):
             Training_Steps = file_counter*200*2
         else:
             Training_Steps = file_counter*200
-    return([gr.update(visible=True), gr.update(visible=True, value=f'''You are going to train {concept_counter} {type_of_thing}(s), with {file_counter} images for {Training_Steps} steps. The training should take around {round(Training_Steps/1.1, 2)} seconds, or {round((Training_Steps/1.1)/60, 2)} minutes.<br>
-    The setup, compression and uploading the model can take up to 20 minutes. As the T4-Small GPU costs US$0.60 for 1h, <b>the estimated cost for this training is <US${round((((Training_Steps/1.1)/3600)+0.3+0.1)*0.60, 2)}.</b><br>
-    If you check the box below the GPU attribution will automatically removed after training is done and the model is uploaded. If not, don't forget to come back here and swap the hardware back to CPU.''')])
+    return([gr.update(visible=True), gr.update(visible=True, value=f'''You are going to train {concept_counter} {type_of_thing}(s), with {file_counter} images for {Training_Steps} steps. The training should take around {round(Training_Steps/1.1, 2)} seconds, or {round((Training_Steps/1.1)/60, 2)} minutes.
+    The setup, compression and uploading the model can take up to 20 minutes.<br>As the T4-Small GPU costs US$0.60 for 1h, <span style="font-size: 120%"><b>the estimated cost for this training is US${round((((Training_Steps/1.1)/3600)+0.3+0.1)*0.60, 2)}.</b></span><br><br>
+    If you check the box below the GPU attribution will automatically removed after training is done and the model is uploaded. If not, don't forget to come back here and swap the hardware back to CPU.<br><br>''')])
 
 def train(*inputs):
     torch.cuda.empty_cache()
@@ -309,8 +309,7 @@ def check_status(top_description):
     ]
 
 def checkbox_swap(checkbox):
-    reverse_bool = not checkbox
-    return [gr.update(visible=reverse_bool), gr.update(visible=reverse_bool), gr.update(visible=reverse_bool)]
+    return [gr.update(visible=checkbox), gr.update(visible=checkbox), gr.update(visible=checkbox)]
 
 with gr.Blocks(css=css) as demo:
     with gr.Box():