Update app.py

app.py

@@ -33,9 +33,12 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 # language = "bambara"
 # language = "icelandic" # we use icelandic as the model was trained to replace the icelandic with bambara.
 
-model_checkpoint = "oza75/bm-whisper-from-swa-02"
+#model_checkpoint = "oza75/bm-whisper-from-swa-02"
 revision = None
-language = "swahili"
+#language = "swahili"
+
+model_checkpoit = "oza75/bm-whisper-large-v3-turbo"
+language = "icelandic"
 
 # Load the custom tokenizer designed for Bambara and the ASR model
 #tokenizer = BambaraWhisperTokenizer.from_pretrained(model_checkpoint, language=language, device=device)