Update README.md

README.md

@@ -31,7 +31,7 @@ YarnGPT is a text-to-speech (TTS) model designed to synthesize Nigerian-accented
 
 
 #### How to use (Colab)
-The model can generate audio on its own but its better to use a voice to prompt the model, there are about 12 voices supported by default (6 male and 6 female ):
+The model can generate audio on its own but its better to use a voice to prompt the model, there are about 11 voices supported by default (6 males and 5 females ):
 - zainab
 - jude
 - tayo
@@ -42,7 +42,6 @@ The model can generate audio on its own but its better to use a voice to prompt
 - umar
 - osagie
 - joke
-- onye
 - emma (the names do not correlate to any tribe or accent)
 
 
@@ -91,7 +90,7 @@ model = AutoModelForCausalLM.from_pretrained(hf_path,torch_dtype="auto").to(audi
 # your input text
 text="Uhm, so, what was the inspiration behind your latest project? Like, was there a specific moment where you were like, 'Yeah, this is it!' Or, you know, did it just kind of, uh, come together naturally over time?"
 
-# creating a prompt, when creating a prompt, there is an optional `speaker_name` parameter, the possible speakers are "idera","emma","onye","jude","osagie","tayo","zainab","joke","regina","remi","umar","chinenye" if no speaker is selected a speaker is chosen at random 
+# creating a prompt, when creating a prompt, there is an optional `speaker_name` parameter, the possible speakers are "idera","emma","jude","osagie","tayo","zainab","joke","regina","remi","umar","chinenye" if no speaker is selected a speaker is chosen at random 
 prompt=audio_tokenizer.create_prompt(text,"idera")
 
 # tokenize the prompt