Update app.py

app.py

@@ -37,8 +37,8 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 revision = None
 #language = "swahili"
 
-model_checkpoint = "oza75/bm-whisper-large-turbo-v3"
-language = "icelandic"
+model_checkpoint = "oza75/bm-whisper-large-turbo-v4"
+language = "sundanese"
 
 # Load the custom tokenizer designed for Bambara and the ASR model
 #tokenizer = BambaraWhisperTokenizer.from_pretrained(model_checkpoint, language=language, device=device)