Update evaluate button and spacing

Signed-off-by: Kieran Fraser <[email protected]>

app.py

@@ -229,13 +229,13 @@ def show_params(type):
         return gr.Column(visible=True)
     return gr.Column(visible=False)  
 
-head_script = '''
+head = '''
 <script async defer src="https://buttons.github.io/buttons.js"></script>
 '''
 
 # e.g. To use a local alternative theme: carbon_theme = Carbon()
 carbon_theme = Carbon()
-with gr.Blocks(css=css, theme='Tshackelton/IBMPlex-DenseReadable') as demo:
+with gr.Blocks(css=css, head=head, theme='Tshackelton/IBMPlex-DenseReadable') as demo:
     import art
     text = art.__version__
     
@@ -258,6 +258,10 @@ with gr.Blocks(css=css, theme='Tshackelton/IBMPlex-DenseReadable') as demo:
                     target="blank_">here</a>. To dive further into poisoning attacks with Hugging Face and ART, check out our 
                     <a href="https://github.com/Trusted-AI/adversarial-robustness-toolbox/blob/main/notebooks/hugging_face_poisoning.ipynb" 
                     target="_blank">notebook</a>. Also feel free to contribute and give our repo a ⭐.</i></p>''')
+    
+    gr.Markdown('''
+                
+                ''')
 
     gr.Markdown('''<hr/>''')
     
@@ -294,7 +298,7 @@ with gr.Blocks(css=css, theme='Tshackelton/IBMPlex-DenseReadable') as demo:
                 a backdoor poisoning attack against your own model and assess its performance.</p>''')
 
     with gr.Row(elem_classes="custom-text"):
-        with gr.Column(scale=1):
+        with gr.Column(scale=6):
             attack = gr.Textbox(visible=True, value="Backdoor", label="Attack", interactive=False)
             target_class = gr.Radio(label="Target class", info="The class you wish to force the model to predict.",
                                         choices=['church',
@@ -307,14 +311,13 @@ with gr.Blocks(css=css, theme='Tshackelton/IBMPlex-DenseReadable') as demo:
                                         'golf ball',
                                         'parachutte',], value='church')
             eval_btn_patch = gr.Button("Evaluate")
-    with gr.Row(elem_classes="custom-text"):
         with gr.Column(scale=10):
             clean_gallery = gr.Gallery(label="Clean", preview=False, show_download_button=True, height=600)
             clean_accuracy = gr.Number(label="Clean Accuracy", precision=2)
         with gr.Column(scale=1, min_width='0px', elem_classes='symbols'):
             gr.Markdown('''➕''')
-        with gr.Column(scale=5, elem_classes='symbols'):
-            trigger_image = gr.Image(label="Trigger Image",  value="./baby-on-board.png", interactive=False)
+        with gr.Column(scale=3, elem_classes='symbols'):
+            trigger_image = gr.Image(label="Trigger",  value="./baby-on-board.png", interactive=False)
         with gr.Column(scale=1, min_width='0px'):
             gr.Markdown('''🟰''', elem_classes='symbols')
         with gr.Column(scale=10):