Update app.py

app.py

@@ -34,11 +34,11 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 # language = "icelandic" # we use icelandic as the model was trained to replace the icelandic with bambara.
 
 #model_checkpoint = "oza75/bm-whisper-from-swa-02"
-revision = "90c73e2aced94a743561e6e0f1462bcf894a3ed4"
+revision = None
 #language = "swahili"
 
-model_checkpoint = "oza75/bm-whisper-large-v3-turbo"
-language = "french"
+model_checkpoint = "oza75/bm-whisper-large-turbo-v3"
+language = "icelandic"
 
 # Load the custom tokenizer designed for Bambara and the ASR model
 #tokenizer = BambaraWhisperTokenizer.from_pretrained(model_checkpoint, language=language, device=device)