replaced markdown with html

app.py

@@ -178,13 +178,13 @@ with gr.Blocks(css=custom_css) as interface:
         outputs=sample_display,
     )
     
-    gr.Markdown("""
-         <span style="color: purple;">Concept Discovery</span> involves identifying interpretable high-level features or concepts within a deep learning model's representation. It aims to understand what a model has learned and how these learned features relate to meaningful attributes in the data.
+    gr.HTML("""
+    <span style="color: purple;">Concept Discovery</span> involves identifying interpretable high-level features or concepts within a deep learning model's representation. It aims to understand what a model has learned and how these learned features relate to meaningful attributes in the data.
 
-         <span style="color: purple;">Deep Feature Factorization (DFF)</span> is a technique that decomposes the deep features learned by a model into disentangled and interpretable components. It typically involves matrix factorization methods applied to activation maps, enabling the identification of semantically meaningful concepts captured by the model.
+    <span style="color: purple;">Deep Feature Factorization (DFF)</span> is a technique that decomposes the deep features learned by a model into disentangled and interpretable components. It typically involves matrix factorization methods applied to activation maps, enabling the identification of semantically meaningful concepts captured by the model.
 
-         Together, these methods enhance model interpretability and provide insights into the decision-making process of neural networks.
-    """)
+    Together, these methods enhance model interpretability and provide insights into the decision-making process of neural networks.
+""")
     with gr.Row(elem_classes="custom-row"):
         dff_gallery = gr.Gallery(
             label="Deep Feature Factorization",