Update app.py

app.py

@@ -40,6 +40,7 @@ revision = None
 #model_checkpoint = "oza75/bm-whisper-large-turbo-v4"
 #model_checkpoint = "oza75/bm-whisper-large-v3-base"
 model_checkpoint = "oza75/bm-whisper-large-v3-sft-3"
+model_checkpoint = "djelia/djelia-whisper-v2"
 # language = "sundanese"
 
 # Load the custom tokenizer designed for Bambara and the ASR model
@@ -47,7 +48,7 @@ model_checkpoint = "oza75/bm-whisper-large-v3-sft-3"
 tokenizer = WhisperTokenizer.from_pretrained(model_checkpoint, device=device)
 pipe = pipeline("automatic-speech-recognition", model=model_checkpoint, tokenizer=tokenizer, device=device, revision=revision)
 
-LANGUAGES = {"bambara": "sundanese", "french": "french", "english": "english"}
+LANGUAGES = {"bambara": "french", "french": "french", "english": "english"}
 
 def resample_audio(audio_path, target_sample_rate=16000):
     """