Update app.py

app.py

@@ -10,13 +10,12 @@ import time
 #Loading the model and the tokenizer
 token_key = os.environ.get("HUGGING_FACE_HUB_TOKEN")
 
-model_name = "unilux/whisper-large-v2-lb_cased_01"
+model_name = "unilux/whisper-large-v2-lb_cased_02"
 
 #p = pipeline("automatic-speech-recognition", model=model, tokenizer=tokenizer, feature_extractor=processor.feature_extractor, decoder=processor.decoder, use_auth_token=token_key)
-#pipe = pipeline("automatic-speech-recognition", model=model_name, lang="Luxembourgish", device=0, use_auth_token=token_key)
-pipe = pipeline("automatic-speech-recognition", model=model_name, device=0, use_auth_token=token_key)
 
-pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(task="transcribe")
+pipe = pipeline("automatic-speech-recognition", model=model_name, device=0, use_auth_token=token_key)
+pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language= "Luxembourgish", task="transcribe")
     
 def load_data(input_file):