Update README.md

README.md

@@ -43,10 +43,10 @@ model = ParlerTTSForConditionalGeneration.from_pretrained("CONCREE/Adia_TTS").to
 tokenizer = AutoTokenizer.from_pretrained("CONCREE/Adia_TTS")
 
 # Définition du texte d'entrée (exemple en wolof)
-prompt = """Am na yoon yu bari yoo mëna amee xaalis ngir sa projet: Liggéeyandoo ak: Sàkku jàppale ci yokkute mbay ak transformation produit yi. Defar bu baax sa projet te jokkoo ak ñoom. Banqi yi: Demal ci banq yi ngir ñu may la crédit ngir tambali sa projet"""
+prompt = """Am na yoon yu bari yoo mëna amee xaalis ngir sa projet: Liggéeyandoo ak: Sàkku jàppale ci yokkute mbay ak transformation produit yi. Defar bu baax sa projet te jokkoo ak ñoom."""
 
 # Description influençant la qualité de la synthèse vocale
-description = "A crystal clear and distinct voice, with a moderate reading rate that facilitates understanding. The tone is monotonous, without variations or inflections, which provides a uniform listening experience. The voice is free of background noise and allows for continuous reading, without inappropriate pauses, thus ensuring a constant and pleasant flow."
+description = "A warm, natural, and friendly voice with a steady pace and clear pronunciation. The audio is crisp with no background noise, and the delivery is expressive but calm, giving a conversational feel."
 
 # Tokenisation des entrées
 input_ids = tokenizer(description, return_tensors="pt").input_ids.to(device)