Update app.py

app.py

@@ -15,16 +15,16 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 # Define the model checkpoint and language
 #model_checkpoint = "oza75/whisper-bambara-asr-002"
 #revision = "831cd15ed74a554caac9f304cf50dc773841ba1b"
-#model_checkpoint = "oza75/whisper-bambara-asr-005"
+model_checkpoint = "oza75/whisper-bambara-asr-005"
 #revision = "6a92cd0f19985d12739c2f6864607627115e015d" # first good checkpoint for bambara
 #revision = "fb69a5750182933868397543366dbb63747cf40c" # this only translate in english
 #revision = "129f9e68ead6cc854e7754b737b93aa78e0e61e1" # support transcription and translation
 #revision = "cb8e351b35d6dc524066679d9646f4a947300b27"
-#revision = "5f143f6070b64412a44fea08e912e1b7312e9ae9" # this checkpoint support both task without overfitting
+revision = "5f143f6070b64412a44fea08e912e1b7312e9ae9" # this checkpoint support both task without overfitting
 
-model_checkpoint = "oza75/whisper-bambara-asr-006"
+#model_checkpoint = "oza75/whisper-bambara-asr-006"
 #revision = "96535debb4ce0b7af7c9c186d09d088825f63840"
-revision = "4549778c08f29ed2e033cc9a497a187488b6bf56"
+#revision = "4549778c08f29ed2e033cc9a497a187488b6bf56"
 
 # language = "bambara"
 language = "icelandic" # we use icelandic as the model was trained to replace the icelandic with bambara.