Update app.py

app.py

@@ -197,18 +197,17 @@ with gr.Blocks(theme=gr.themes.Default(), css=css) as demo:
     with gr.Group('Interpretation'):
         interpretation_prompt = gr.Text(suggested_interpretation_prompts[0], label='Interpretation Prompt')
 
-    with gr.Accordion('Examples'):
-        gr.Markdown('''
-        Here are some examples of prompts we can analyze their internal representations
-        ''')
-        
-        for info in dataset_info:
-            with gr.Tab(info['name']):
-                num_examples = 10
-                dataset = load_dataset(info['hf_repo'], split='train', streaming=True)
-                dataset = dataset.shuffle(buffer_size=2000).take(num_examples)
-                dataset = [[row[info['text_col']]] for row in dataset]
-                gr.Examples(dataset, [original_prompt_raw])
+    gr.Markdown('''
+    Here are some examples of prompts we can analyze their internal representations
+    ''')
+    
+    for info in dataset_info:
+        with gr.Tab(info['name']):
+            num_examples = 10
+            dataset = load_dataset(info['hf_repo'], split='train', streaming=True)
+            dataset = dataset.shuffle(buffer_size=2000).take(num_examples)
+            dataset = [[row[info['text_col']]] for row in dataset]
+            gr.Examples(dataset, [original_prompt_raw])
                 
     with gr.Group():
         original_prompt_raw.render()