update custom message

app.py

@@ -194,19 +194,20 @@ def request_model(model_text, chbcoco2017):
 with gr.Blocks() as demo:
     gr.HTML(BANNER, elem_id="banner")
     gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
-    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 show how CommonVoice Test Set is large enough for most languages to give a relativly good approximation of the average WER/CER but at a much lower computational cost.
-#### Why is this useful?
-Because, it gives us a standardized test set for most languages allowing us to programatically choose a relatively good model for any CV supported languages.
+    
+    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?
+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 reported from [hf-audio/open_asr_leaderboard](https://huggingface.co/spaces/hf-audio/open_asr_leaderboard) the 9 using version from the 7 Sept. 2023.
+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
-CommonVoice Test test give a word error rate (WER) within less than 20 points of the average WER.
+Results
+The CommonVoice Test provides a Word Error Rate (WER) within a 20-point margin of the average WER.
 
-It's not good. Don't use only CommonVoice to choose the most adequate architecture.
-But to quickly find a suitable ASR model for a large panel of lanugages in a programatic fashion, it's close enough."""
+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.
+"""
     gr.Markdown(CUSTOM_MESSAGE, elem_classes="markdown-text")