update custom message

constants.py

@@ -113,4 +113,5 @@ Models are sorted by consistancy in their results across testsets. (by increasin
 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.
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+Furthermore, it's worth noting that opting for the model with the lowest WER on CommonVoice yields only a marginal 0.28-point difference compared to selecting a model based on the lowest average WER. This illustrates the practical utility of CommonVoice as a reliable indicator for model selection, providing a cost-effective and efficient approach to finding suitable ASR models across various applications and languages."""