Update README.md

README.md

@@ -1,10 +1,10 @@
 ---
 library_name: transformers
 license: apache-2.0
-datasets:
-- intronhealth/afrispeech-200
 language:
-- en
+- yo
+- ig
+- ha
 base_model:
 - HuggingFaceTB/SmolLM2-360M
 pipeline_tag: text-to-speech
@@ -27,22 +27,21 @@ pipeline_tag: text-to-speech
 
 ## Model Summary
 
-YarnGPT is a text-to-speech (TTS) model designed to synthesize Nigerian-accented English leveraging pure language modelling without external adapters or complex architectures, offering high-quality, natural, and culturally relevant speech synthesis for diverse applications.
+YarnGPT-local is a text-to-speech (TTS) model designed to synthesize Yoruba, Igbo and Hausa leveraging pure language modelling without external adapters or complex architectures, offering high-quality, natural, and culturally relevant speech synthesis for diverse applications.
 
 
 #### 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 11 voices supported by default (6 males and 5 females ):
-- zainab
-- jude
-- tayo
-- remi
-- idera
-- regina
-- chinenye
-- umar
-- osagie
-- joke
-- emma (the names do not correlate to any tribe or accent)
+The model can generate audio on its own but its better to use a voice to prompt the model, there are about 10 voices supported by default:
+- hausa_female1
+- hausa_female2
+- hausa_male1
+- hausa_male2
+- igbo_female1
+- igbo_female2
+- igbo_male2
+- yoruba_female1
+- yoruba_female2
+- yoruba_male2
 
 
 ```python