update custom message

app.py

@@ -197,15 +197,15 @@ with gr.Blocks() as demo:
     gr.HTML(BANNER, elem_id="banner")
     gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
     
-    CUSTOM_MESSAGE = """Legend:
+    CUSTOM_MESSAGE = """## Legend:
 This space is a fork of the original [hf-audio/open_asr_leaderboard](https://huggingface.co/spaces/hf-audio/open_asr_leaderboard). It aims to demonstrate how the CommonVoice Test Set provides a relatively accurate approximation of the average WER/CER (Word Error Rate/Character Error Rate) at a significantly lower computational cost.
 
-Why is this useful?
+#### Why is this useful?
 This space is invaluable because it offers a standardized test set for most languages, enabling us to programmatically select a reasonably effective model for any language supported by CommonVoice.
 
 Model, RTF (1e-3) ⬇️, and Average WER ⬇️ were sourced from [hf-audio/open_asr_leaderboard](https://huggingface.co/spaces/hf-audio/open_asr_leaderboard) using the version from September 7, 2023.
 
-Results
+### Results
 The CommonVoice Test provides a Word Error Rate (WER) within a 20-point margin of the average WER.
 
 While not perfect, this indicates that CommonVoice can be a useful tool for quickly identifying a suitable ASR model for a wide range of languages in a programmatic manner. However, it's important to note that it is not sufficient as the sole criterion for choosing the most appropriate architecture. Further considerations may be needed depending on the specific requirements of your ASR application.