Update app.py

app.py

@@ -34,10 +34,10 @@ 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 = None
+revision = "90c73e2aced94a743561e6e0f1462bcf894a3ed4"
 #language = "swahili"
 
-model_checkpoint = "oza75/bm-whisper-large-v3-turbo-from-fr-v2"
+model_checkpoint = "oza75/bm-whisper-large-v3-turbo"
 language = "french"
 
 # Load the custom tokenizer designed for Bambara and the ASR model